Seung-Ju kang | Statistics | Best Researcher Award

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Dr. Seung-Ju kang | Statistics | Best Researcher Award

Chonnam National University, South Korea

Dr. Seung-Ju Kang , a dedicated veterinary scholar from Chonnam National University College of Veterinary Medicine, specializes in Internal Medicine and Emergency & Critical Care Medicine . With a strong academic foundation in veterinary science and a growing passion for clinical research, Dr. Kang recently published a peer-reviewed article in an internationally recognized journal . Though early in their research journey, they exhibit a clear focus on advancing critical veterinary care and a commitment to academic excellence. Their emerging contributions reflect both potential and purpose, particularly in high-impact, life-saving animal health domains. With integrity, enthusiasm, and a strong vision for future innovation, Dr. Kang stands as a promising new voice in veterinary research, ready to make significant strides in the scientific community.

Professional Profile

Scopus Profile | ORCID Profile

Education

Dr. Seung-Ju Kang pursued both his undergraduate and postgraduate studies at the prestigious Chonnam National University College of Veterinary Medicine. He earned his Bachelor of Veterinary Medicine with a strong academic foundation in animal health sciences. Further advancing his expertise, he completed a Master’s degree specializing in Veterinary Internal Medicine and Emergency & Critical Care Medicine. His educational journey reflects dedication to a complex and life-saving field, underpinned by rigorous clinical and academic training. Focused on excellence and lifelong learning, Dr. Kang continues to deepen his knowledge through evidence-based practices, clinical exposure, and scholarly pursuits, preparing him for impactful roles in both research and practice.

Professional Experience

Though early in his professional journey, Dr. Kang has cultivated hands-on experience in high-pressure veterinary environments . As a postgraduate specializing in Emergency & Critical Care Medicine, he has actively worked in clinical settings dealing with complex, time-sensitive cases requiring advanced diagnostic and therapeutic skills. His training included exposure to a variety of animal emergencies, internal disorders, and critical interventions, enhancing both his decision-making and patient management skills. Dr. Kang’s professional experience is rooted in continuous learning, mentorship under seasoned clinicians, and evidence-informed practice. This foundational experience positions him well to bridge clinical insight with scientific inquiry—a vital quality for any veterinary researcher in today’s fast-evolving medical landscape.

Research Interest

Dr. Kang’s primary research interest lies in Veterinary Internal Medicine and Emergency & Critical Care—a dynamic and high-impact field within animal health science. His academic and clinical experiences have shaped a passion for improving outcomes in life-threatening veterinary conditions through targeted diagnostics, advanced interventions, and translational research. With a keen focus on critical care protocols, systemic disorders, and emergency responses, Dr. Kang aims to explore innovative therapeutic strategies and contribute to the growing body of veterinary medical literature. His interests also extend to improving patient monitoring systems, fluid therapy approaches, and early detection techniques using technology. As a researcher, he is committed to developing knowledge that directly enhances animal welfare and clinical practice outcomes.

Awards and Honors

Dr. Seung-Ju Kang is currently nominated for the Best Researcher Award, recognizing his early but promising entry into scholarly publication and academic research. While this marks his first formal recognition at the research level, it represents a significant milestone in his academic journey. The nomination itself reflects his emerging potential in the veterinary research community and acknowledges the quality and relevance of his first published article in a peer-reviewed international journal. Though at the beginning of his accolades, Dr. Kang’s consistent dedication, subject focus, and clinical rigor have already earned him the respect of peers and mentors alike. With time, he is poised to build a rich portfolio of honors through impactful work and innovative thinking in veterinary science.

Research Skills

Dr. Kang brings a solid set of research skills honed through his postgraduate academic training and recent publication achievement. His abilities include conducting literature reviews, data collection and analysis, and interpreting clinical findings to inform practice. With firsthand clinical exposure, he integrates scientific inquiry with real-world veterinary challenges, particularly in emergency and internal medicine. He is proficient in formulating hypotheses, navigating ethical research protocols, and preparing manuscripts for academic journals. His emerging skillset also includes experience with patient monitoring tools, case study design, and collaboration in clinical settings. As a developing researcher, Dr. Kang demonstrates the curiosity, discipline, and methodological awareness required to contribute meaningfully to veterinary medicine’s academic and clinical advancements.

Publications Top Note

Title: Non-resectable bilateral malignant granulosa cell tumor with metastasis in a dog: a case report

Authors: Young-Tak Cho, Chang-Hyeon Choi, Keon Kim, Chang-Yun Je, Jae-Beom Joo, Seung-Ju Kang, Sang-Ik Park, Woong-Bin Ro*, Chang-Min Lee*

Year: 2025

Journal: Korean Journal of Veterinary Research

Volume & Issue: Volume 65, Issue 1, Article e7

DOI: https://doi.org/10.14405/kjvr.20240066

Citation (APA Style): Cho, Y.-T., Choi, C.-H., Kim, K., Je, C.-Y., Joo, J.-B., Kang, S.-J., Park, S.-I., Ro, W.-B., & Lee, C.-M. (2025). Non-resectable bilateral malignant granulosa cell tumor with metastasis in a dog: a case report. Korean Journal of Veterinary Research, 65(1), e7. https://doi.org/10.14405/kjvr.20240066

Source Links:

Conclusion

Dr. Seung-Ju Kang is a highly motivated, early-career veterinary researcher whose academic rigor, clinical focus, and sincere commitment to emergency and internal animal care set a strong foundation for future impact. With a solid educational background, real-world experience, and a growing research portfolio, he embodies the essential qualities of a next-generation veterinary scientist. His first publication marks a significant step forward, showcasing both competence and potential in contributing to high-value scientific literature. While still on the path of professional growth, his clarity of focus, work ethic, and innovative thinking point toward a promising future in research, academia, and clinical excellence. Dr. Kang is undoubtedly a rising talent in the world of veterinary medicine, ready to make lasting contributions.

 

Nan Zhang | Data Science | Best Researcher Award

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Assist. Prof. Dr. Nan Zhang | Data Science | Best Researcher Award

Department Head at Wuxi Institute of Technology, China

Dr. Nan Zhang 🎓, currently serving as the Head of Department at Wuxi Institute of Technology 🏫, is an accomplished researcher with a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology 🧠. Her expertise spans across pattern recognition, computer vision, and machine learning 🤖. With 9 high-impact journal publications 📚, 18 patents 🔬, and two published books 📘, she has made notable contributions to both theoretical research and applied innovation. Dr. Zhang’s work includes advanced AI applications in medical thermal imaging and exercise prescription optimization for Type 2 diabetes patients 💡💊. Her involvement in 8 research projects and 3 industry collaborations reflects strong academic-industry synergy 🤝. Dr. Zhang exemplifies innovation, leadership, and a commitment to real-world impact, making her a valuable asset to the global research community 🌏.

Professional Profile 

ORCID Profile

🎓 Education

Dr. Nan Zhang earned her Ph.D. in Pattern Recognition and Intelligence System from the esteemed Nanjing University of Science and Technology 🏛️ in 2013. Her academic journey reflects a strong foundation in mathematics, computing, and system intelligence 📐💻. With a passion for innovation and analytical precision, she focused her doctoral research on advanced feature extraction and intelligent algorithm design 🧠. Her educational background has provided her with a solid base to explore diverse AI applications, especially in computer vision and medical technology 💊. This scholarly pursuit laid the groundwork for her prolific career as a researcher, educator, and innovator, enabling her to bridge the gap between theory and real-world applications 🌐.

👩‍🏫 Professional Experience

Currently the Department Head and Associate Professor at the School of Control Engineering, Wuxi Institute of Technology 🏫, Dr. Nan Zhang brings over a decade of academic excellence and research leadership. She has successfully led 8 major research projects and collaborated on 3 industry consultancy initiatives 🧪🤝. Her dual expertise in academic rigor and industrial relevance enables her to train students and researchers to tackle real-world challenges. Under her leadership, the department has expanded its focus on AI integration and technological innovation 🌟. She also contributes actively as a mentor, curriculum designer, and academic reviewer, emphasizing both theory and its practical implementation 💼📘.

🔍 Research Interest

Dr. Zhang’s primary research interests revolve around Pattern Recognition, Computer Vision, and Machine Learning 🤖. Her work focuses on developing algorithms that enable intelligent systems to perceive, interpret, and act on complex data, especially in dynamic environments. Recently, she has explored deep learning applications in medical thermal imaging for diagnostic improvements 🩻 and adaptive exercise prescriptions for diabetic patients 🏃‍♀️💉. Her research bridges the gap between AI theory and practical healthcare technology, aiming to make intelligent systems more precise and accessible. She is passionate about advancing human-centric AI that not only predicts but enhances decision-making across health and industrial sectors 🧬🧑‍⚕️.

🏅 Awards and Honors

With a track record of excellence, Dr. Nan Zhang has been recognized through multiple patents (18 total) 🧾 and journal publications (9 indexed in SCI/Scopus) 📚. Her books (ISBN: 978-7-121-45435-6, 978-620-2-30759-8) showcase her thought leadership in emerging technologies. While not explicitly listed, her portfolio and credentials reflect eligibility for prestigious honors like the Best Researcher Award 🌟. Her contributions in AI-enhanced diagnostics and intelligent system modeling highlight her impact in both academic and applied domains 🧠🔬. These recognitions affirm her continued commitment to innovative, responsible, and impactful science on both national and global platforms 🌍🏆.

🛠️ Research Skills

Dr. Zhang excels in AI algorithm design, feature extraction, deep learning, and image analysis 🔧🧠. She is proficient in various programming and analytical tools used in computer vision and pattern recognition, such as Python, MATLAB, and TensorFlow 💻📊. Her strength lies in bridging theoretical models with functional systems, particularly in biomedical imaging and intelligent diagnostics 🔬🖥️. In addition, she brings expertise in scientific writing, patent drafting, and industry collaboration, enabling her to work effectively across multidisciplinary teams. Her ability to lead and innovate in both solo and collaborative research settings reflects her technical depth and strategic foresight 🔍🌐.

Publications Top Note 📝

  • Title: Medical image inpainting with edge and structure priors
    Authors: Qianna Wang, Yi Chen, Nan Zhang, Yanhui Gu
    Year: 2021
    DOI / Source: 10.1016/j.measurement.2021.110027
    Published in: Measurement (Elsevier)
    Citation Source: Crossref

  • Title: Robust H∞ filtering for Markovian jumping static neural networks with time-varying delays
    Authors: Aodong Zhao, Nan Zhang, Maolong Xi, Jun Sun, Meiyan Dong
    Year: 2020
    DOI / Source: 10.1177/1748302620931340
    Published in: Journal of Algorithms & Computational Technology (SAGE)
    Citation Source: Crossref

  • Title: Feature extraction based on Low-rank affinity matrix for biological recognition
    Authors: Nan Zhang, Yi Chen, Maolong Xi, Fangqin Wang, Yanwen Qu
    Year: 2018
    DOI / Source: 10.1016/j.jocs.2018.06.001
    Published in: Journal of Computational Science (Elsevier)
    Citation Source: Crossref

  • Title: Low-rank representation based discriminative projection for robust feature extraction
    Authors: Nan Zhang, Jian Yang
    Year: 2013
    DOI / Source: 10.1016/j.neucom.2012.12.012
    Published in: Neurocomputing (Elsevier)
    Citation Source: Crossref

📝 Conclusion

Dr. Nan Zhang represents a rare blend of academic brilliance, research depth, and societal relevance 🌟. Her contributions in AI-driven medical imaging, pattern recognition, and intelligent diagnostics highlight a career committed to innovation with impact 🚀. With a clear vision and versatile skillset, she continues to advance next-generation technologies that bridge health and machine intelligence 🧬🤖. As a mentor, department leader, and researcher, Dr. Zhang has cultivated a culture of excellence and curiosity, inspiring the next wave of innovators 🌱. Her dedication, accomplishments, and forward-thinking make her an ideal nominee for prestigious recognitions like the Best Researcher Award 🏅🎓.

Asma Iqbal | Mathematical Modeling | Best Researcher Award

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Assist. Prof. Dr. Asma Iqbal | Mathematical Modeling | Best Researcher Award

Assistant Professor at National Institute of Technology, Srinagar , India.

Dr. Asma Iqbal, 🎓 Assistant Professor of Chemical Engineering at NIT Srinagar, is a dynamic researcher specializing in distillation-based separation, process simulation, and wastewater treatment. 💧 With a Ph.D. from AMU and post-doctoral work at IIT Kanpur, she boasts 10+ high-impact publications in renowned journals like Chemosphere and Separation and Purification Technology 📚. Dr. Iqbal has received numerous accolades, including Best Paper Awards 🏅 and Gold Medals 🥇, and is actively collaborating with international institutes such as MIT and Coventry University 🌍. She blends research with societal impact through projects like IoT-based crop irrigation systems 🌱 and Dal Lake pollution remediation. An inspiring mentor, she guides multiple Ph.D. and undergraduate projects and has delivered keynote talks across India. 💡 Adept with simulation tools like Aspen Plus and MATLAB, Dr. Iqbal exemplifies academic excellence, innovation, and community service, making her a distinguished candidate for the Best Researcher Award. 🏆

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘🧠

Dr. Asma Iqbal holds a Ph.D. in Chemical Engineering from the prestigious Aligarh Muslim University, where she earned accolades for her academic excellence. Her journey began with a B.Tech from NIT Srinagar, where she graduated with distinction and ranked third in her class 🏅. She further pursued her M.Tech at AMU, earning a gold medal for topping the university with an outstanding CGPA of 9.556 🥇. Her schooling years in Kashmir were equally remarkable, as she consistently achieved distinction honors 🧑‍🏫📖. Throughout her educational trajectory, she cultivated a deep passion for complex chemical processes, process design, and energy-efficient technologies. Her multidisciplinary foundation, combining theoretical depth and computational expertise, set the stage for a vibrant career in research and academia. With each academic milestone, Dr. Iqbal not only excelled personally but also laid the groundwork for making impactful contributions to sustainable chemical engineering 🌿🔍.

Professional Experience 🏢🧪

Dr. Asma Iqbal has an extensive and dynamic professional background rooted in both teaching and research. She currently serves as an Assistant Professor at NIT Srinagar, where she has been instrumental since March 2020. Her previous academic engagements include a post-doctoral fellowship at IIT Kanpur, where she worked on enhanced distillation systems under the mentorship of Dr. Nitin Kaistha 🔬🔄. Dr. Iqbal has also held academic positions at AMU and the Islamic University of Science and Technology, making her teaching experience diverse and interdisciplinary 🌐🧑‍🎓. In addition to classroom excellence, she has guided numerous B.Tech and internship projects on wastewater treatment, simulation, and bioenergy 🌍💡. Her administrative contributions include NBA accreditation coordination, lab supervision, and digital asset management at NIT. This combination of practical mentorship, high-impact research, and leadership in academic governance reflects her commitment to shaping the next generation of chemical engineers 🚀📋.

Research Interests 🧪🔬♻️

Dr. Asma Iqbal’s research pursuits are rooted in sustainable process engineering and advanced separation technologies. Her core expertise lies in azeotropic distillation, pressure swing distillation, and process intensification, using cutting-edge tools like Aspen Plus and DWSIM 🧬🧑‍💻. She explores simulation-driven conceptual design of chemical processes, energy optimization through heat integration, and circular economy strategies for industrial waste treatment 🌀🌍. Her research also branches into IoT-integrated agriculture systems, specifically focusing on smart irrigation for saffron cultivation, blending chemical engineering with digital innovation 🌾📲. Recently, she has explored adsorption techniques using microplastics for water purification and worked on Dal Lake restoration, aligning her work with environmental sustainability goals 💧🌿. Her scholarly contributions are frequently published in high-impact journals, and her collaborative spirit connects her with top institutions worldwide. Dr. Iqbal’s interdisciplinary lns, from perfumes to semiconductors, exemplifies a forward-thinking, solution-driven research philosophy 🚀📚.

Awards and Honors 🏆📜🌟

Dr. Asma Iqbal has received numerous accolades throughout her academic and professional career, reflecting her unwavering excellence and commitment to innovation. Among her top distinctions are the University Gold Medal in M.Tech and the DST INSPIRE Fellowship for doctoral research, awarded to top-tier scholars in India 🥇🔍. She has been honored with Best Paper Awards at international conferences hosted by reputed institutions such as Cranfield University and Kashmir University. Recognized for her global collaboration, she received a Certificate of Excellence from Universiti Teknologi Petronas, Malaysia for her role as a reviewer ✍️🌐. Additionally, she serves as a mentor for national initiatives like the Smart India Hackathon and has presented keynote addresses in high-level academic workshops 🗣️👩‍🏫. Her scholarly memberships with IIChE, IEI, and an international society based in the UK underscore her contributions on both national and international stages 🌍📈. Each award amplifies her influence in advancing chemical engineering.

Conclusion 🌟🎯

Dr. Asma Iqbal embodies the synthesis of academic rigor, technological innovation, and sustainable engineering. With a robust educational pedigree, extensive teaching experience, and a prolific research portfolio, she has established herself as a thought leader in chemical process design and environmental solutions 🌐💡. Her journey reflects a balance of theoretical insight and practical application—from designing advanced distillation columns to implementing IoT in agriculture. An advocate for clean technologies, she actively contributes to the circular economy, water purification, and resource-efficient systems 🌿💧. Dr. Iqbal’s collaborative mindset, combined with her mentoring and administrative leadership, positions her as a catalyst for academic transformation. As she continues to inspire students, drive cutting-edge research, and contribute to global sustainability dialogues, her work remains a beacon of excellence in the chemical engineering community 🧪🚀📚.

Publications Top Notes 

Title: Revolutionizing perfume creation: PTD’s innovative approach
Authors: Asma Iqbal, Mohammad Amil Bhat, Qazi Muneeb, Muazam Javid
Year: 2025
Citations: — (New publication, citation data pending)
Source: Digital Chemical Engineering (Open Access)

Title: Pressure swing distillation of azeotropic mixture–A simulation study
Authors: Asma Iqbal, S.A. Ahmad
Year: 2016
Citations: 34
Source: Perspectives in Science, Volume 8, Pages 4–6

Title: Design and control of an energy-efficient alternative process for separation of Dichloromethane-Methanol binary azeotropic mixture
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 25
Source: Separation and Purification Technology, Volume 219, Pages 137–149

Title: Entrainer based economical design and plantwide control study for Tetrahydrofuran/Water separation process
Authors: Asma Iqbal, S.A. Ahmad
Year: 2018
Citations: 21
Source: Chemical Engineering Research and Design, Volume 130, Pages 274–283

Title: Strategies for separating pressure sensitive binary azeotropes
Authors: Asma Iqbal, S.A. Ahmad
Year: 2022
Citations: 8
Source: Journal of King Saud University – Engineering Sciences, Volume 34(2), Pages 88–97

Title: Appropriate selections of distillation column control variable to improve integrating material recycle response
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 5
Source: Journal of King Saud University – Engineering Sciences, Volume 31(2), Pages 106–113

Title: Design of an IoT-based saffron crop irrigation system
Authors: Asma Iqbal, S.A.A. Taqvi, J. Asim, Q. Muneeb, G. Mahajan, R. Sambyal, S. Anand
Year: 2024
Citations: 3
Source: Industrial Crops and Products, Volume 212, Article 118350

Title: Energy-efficient and cost-effective alternative separation techniques for 2-methoxyethanol–toluene azeotropic mixture: Design and control studies
Authors: Asma Iqbal, M.A. Qyyum, A.S. Nizami, S.A. Ahmad, M. Lee
Year: 2021
Citations: 3
Source: Chemical Engineering and Processing – Process Intensification, Volume 163, Article 108376

 

 

 

 

 

 

Meichen Feng | Data Science | Best Researcher Award

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Prof. Meichen Feng | Data Science | Best Researcher Award

Professor at Shanxi Agricultural University, China.

Feng Meichen is a distinguished professor at Shanxi Agricultural University, specializing in crop ecology, precision agriculture, and agricultural information technology. As the Deputy Dean of the College of Agriculture, she has led 22 research projects, authored 82 SCI/Scopus-indexed papers, and secured 18 patents, demonstrating a strong commitment to advancing sustainable agriculture. With 988 citations and an H-index of 19, her work has significantly impacted agricultural innovation and technology. She has published 5 books, contributed to multiple academic committees, and serves on the editorial boards of leading agricultural journals. Her research focuses on improving crop yield, resource efficiency, and environmental sustainability, benefiting both academia and local farming communities. While her expertise is well-recognized in China, expanding global collaborations could further enhance her research impact. With a remarkable career in agricultural research and innovation, Feng Meichen is an outstanding candidate for the Best Researcher Award.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Feng Meichen holds an advanced degree in agriculture and crop ecology, equipping her with a deep understanding of agricultural information technology, precision farming, and ecological sustainability. Her academic journey has been dedicated to exploring innovative agricultural techniques that improve productivity while ensuring environmental sustainability. Through extensive research and continuous professional development, she has gained expertise in 3S technology (GIS, GPS, and remote sensing) and its application in modern agriculture. Her education has provided a strong foundation for her contributions to precision agriculture, crop management, and smart farming technologies. With a commitment to advancing agricultural science, she has successfully integrated academic knowledge with practical applications, benefiting both researchers and farming communities. Her ability to translate theoretical concepts into real-world solutions has made her a recognized leader in the field of crop science and agricultural technology.

Professional Experience

As a Professor and Deputy Dean at the College of Agriculture, Shanxi Agricultural University, Feng Meichen has established herself as a leader in agricultural research and education. She has successfully led 22 major research projects, contributing to advancements in crop ecology, precision farming, and smart agriculture. Her expertise extends beyond academia, as she actively collaborates with government agencies, research institutions, and industry leaders to develop sustainable farming practices. She has authored 82 peer-reviewed journal articles, secured 18 patents, and published 5 books, showcasing her multidisciplinary expertise. Additionally, she serves on the editorial boards of prestigious agricultural journals, including the Journal of Smart Agriculture and Shanxi Agricultural Sciences. She is also a member of multiple professional committees, influencing agricultural policies and research directions in China. Her extensive academic, research, and administrative experience highlights her dedication to advancing agricultural science and technology for long-term sustainability.

Research Interests

Feng Meichen’s research focuses on crop ecology, precision agriculture, and agricultural information technology, with an emphasis on sustainable and smart farming solutions. She integrates 3S technology (GIS, GPS, remote sensing) with crop production models to enhance agricultural efficiency, resource management, and environmental conservation. Her work aims to optimize crop yield, reduce environmental impact, and improve agricultural decision-making processes. She is particularly interested in applying artificial intelligence and big data analytics to develop predictive models for crop health monitoring and precision irrigation systems. Her research extends to organic dryland agriculture, where she explores climate-resilient farming techniques. By collaborating with industry experts, policymakers, and farmers, she ensures that her research findings have practical applications that benefit the agricultural sector. Her commitment to advancing smart agriculture technologies positions her as a pioneering researcher in the field of modern agriculture.

Awards and Honors

Feng Meichen has received multiple awards and recognitions for her outstanding contributions to agricultural science and research. As a Deputy Chief Expert in the Shanxi Modern Agricultural Specialty Grain Industry Technology System, she has played a pivotal role in shaping agricultural policies and technologies. Her patents and scientific contributions have earned her recognition at national and provincial levels. She has been honored by Shanxi Agricultural University and various academic organizations for her contributions to precision farming, agricultural technology development, and ecological sustainability. She is a member of several prestigious agricultural committees, including the China Modern Agriculture Graduate School and the Chinese Society of Crops. Through her active involvement in academic and industry collaborations, she continues to make a lasting impact on the agricultural sector. Her dedication to agricultural innovation and sustainability has established her as a leading researcher and academician.

Conclusion

Feng Meichen is a highly accomplished researcher, academic leader, and innovator in agricultural science. With extensive research contributions, patents, and leadership roles, she has significantly advanced the fields of crop ecology, precision agriculture, and smart farming technologies. Her work has not only improved crop productivity and resource efficiency but also contributed to sustainable farming practices that benefit both academic research and practical applications. While her impact is widely recognized in China, expanding international collaborations and industry partnerships could further elevate her global research influence. Her dedication to scientific excellence, innovation, and sustainability makes her an outstanding candidate for the Best Researcher Award.

Publications Top Noted

2025 Publications

🔹 Evaluating the Potential of Airborne Hyperspectral Imagery in Monitoring Common Beans with Common Bacterial Blight at Different Infection Stages

  • Authors: Binghan Jing, Jiachen Wang, Xin Zhang, Xiaoxiang Hou, Kunming Huang, Qianyu Wang, Yiwei Wang, Yaoxuan Jia, Meichen Feng, Wude Yang et al.
  • Year: 2025
  • DOI: 10.1016/j.biosystemseng.2025.02.002
  • Source: Biosystems Engineering (Crossref)

🔹 Potential Impacts of Climate Change on the Spatial Distribution Pattern of Naked Oats in China

  • Authors: Zhenwei Yang, Xujing Yang, Yuheng Huang, Yalin Zhang, Yao Guo, Meichen Feng, Mingxing Qin, Ning Jin, Muhammad Amjad, Chao Wang et al.
  • Year: 2025
  • DOI: 10.3390/agronomy15020362
  • Source: Agronomy (Crossref)

2024 Publications

🔹 A Model for the Detection of β-Glucan Content in Oat Grain Based on Near Infrared Spectroscopy

  • Authors: Yang Z., Cheng Z., Su P., Wang C., Qin M., Song X., Xiao L., Yang W., Feng M., Zhang M.
  • Year: 2024
  • DOI: 10.1016/j.jfca.2024.106105
  • Source: Journal of Food Composition and Analysis (Scopus – Elsevier)

🔹 Combined Use of Spectral Resampling and Machine Learning Algorithms to Estimate Soybean Leaf Chlorophyll

  • Authors: Gao C., Li H., Wang J., Zhang X., Huang K., Song X., Yang W., Feng M., Xiao L., Zhao Y. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2024.108675
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Efficient Prediction of SOC and Aggregate OC Components by Continuous Wavelet Transform Spectra Under Different Feature Selection Methods

  • Authors: Yang S., Wang Z., Ji C., Hao Y., Liang Z., Yan X., Qiao X., Feng M., Xiao L., Song X. et al.
  • Year: 2024
  • DOI: 10.1016/j.compag.2023.108550
  • Source: Computers and Electronics in Agriculture (Scopus – Elsevier)

🔹 Prediction of the Potential Distribution and Analysis of the Freezing Injury Risk of Winter Wheat on the Loess Plateau Under Climate Change

  • Authors: Qing Liang, Xujing Yang, Yuheng Huang, Zhenwei Yang, Meichen Feng, Mingxing Qing, Chao Wang, Wude Yang, Zhigang Wang, Meijun Zhang et al.
  • Year: 2024
  • Source: Journal of Integrative Agriculture

2023 Publications

🔹 AMF Inoculation Positively Regulates Soil Microbial Activity and Drought Tolerance of Oat

  • Authors: Li Y., Li L., Zhang B., Lü Y.-F., Feng M.-C., Wang C., Song X.-Y., Yang W.-D., Zhang M.-J.
  • Year: 2023
  • DOI: 10.11674/zwyf.2022561
  • Source: Journal of Plant Nutrition and Fertilizers (Scopus – Elsevier)

🔹 Analyzing Protein Concentration from Intact Wheat Caryopsis Using Hyperspectral Reflectance

  • Authors: Zhang X., Hou X., Su Y., Yan X., Qiao X., Yang W., Feng M., Kong H., Zhang Z., Shafiq F. et al.
  • Year: 2023
  • DOI: 10.21203/rs.3.rs-2887647/v1
  • Source: Research Square

🔹 Hyperspectral Monitoring of Growth and Physiology Parameters of Winter Wheat Based on Different Quantification Methods

  • Authors: Wang Z.-G., Yang S., Feng M.-C., Yang W.-D., Liang Q., Yang X.-J., Yan X.-B., Sun X.-K., Qin M.-X., Wang C. et al.
  • Year: 2023
  • DOI: 10.2139/ssrn.4535833
  • Source: SSRN

🔹 Identification of Structural Variations Related to Drought Tolerance in Wheat (Triticum aestivum L.)

  • Authors: Zhao J., Li X., Qiao L., Zheng X., Wu B., Guo M., Feng M., Qi Z., Yang W., Zheng J.
  • Year: 2023
  • DOI: 10.1007/s00122-023-04283-4
  • Source: Theoretical and Applied Genetics (Scopus – Elsevier)