Deyang Kong | Operations Research | Innovative Research Award

Published on by Math Scientist

Innovative Research Award

Deyang Kong
Shanghai Communications Polytechnic, China

                 Deyang Kong
Affiliation Shanghai Communications Polytechnic
Country China
Scopus ID 59492561400
Documents 4
Citations 2
h-index 1
Subject area Operations Research
Event Math Scientist Awards
ORCID 0009-0000-1545-8450

Deyang Kong is a researcher affiliated with Shanghai Communications Polytechnic, China, whose listed research area is Operations Research. The supplied publication record includes work on cold chain logistics network design, transportation network resilience and urban rail transit crew dispatch. These topics connect mathematical optimization with practical challenges in logistics and public transportation. This article summarizes the supplied researcher information and publications in the context of the Innovative Research Award associated with Math Scientist Awards. Bibliographic details and researcher metrics should be interpreted according to their respective source records. [1] [2]

Abstract

This profile presents Deyang Kong’s supplied academic details and three publications concerning optimization in transportation and logistics. The research topics include cold chain hub location under network disruptions, dual-network investment and operating costs, and urban rail transit crew dispatch under working-duration constraints. Together, these studies represent application-oriented Operations Research, where mathematical models can support resource allocation, network planning and operational decisions. The publication metadata supplied for this article identifies two journal papers and one conference paper published or listed in 2026. [1] [2] [3]

Keywords

Deyang Kong; Operations Research; mathematical optimization; cold chain logistics; transportation networks; network disruptions; urban rail transit; crew dispatch; logistics planning; Innovative Research Award.

Introduction

Operations Research applies mathematical modelling and analytical methods to complex decisions involving limited resources, competing costs and operational constraints. Transportation and logistics provide important settings for these methods because network design and service planning must account for efficiency, reliability and changing conditions. Kong’s listed publications address several such problems, linking infrastructure planning with day-to-day transport operations. The publication titles provide evidence of these research themes, although detailed findings should be assessed from the full papers rather than inferred from titles alone. [1] [2]

Research Profile

The supplied profile identifies Kong’s institutional affiliation as Shanghai Communications Polytechnic in China and lists four documents, two citations and an h-index of one. These are reported profile figures, not independently verified live metrics, and may change as databases are updated. The listed ORCID provides a persistent researcher identifier, while the Scopus author record offers a route to bibliographic information associated with the supplied author ID. [4] [5]

Research Contributions

The listed work covers three complementary optimization challenges:

  • Cold chain logistics: locating logistics hubs while considering direct transportation and disruptions that affect network connectivity.
  • Urban rail transit: optimizing mobile crew dispatch while respecting working-duration constraints.
  • Dual-network planning: balancing network investment against operating costs in cold chain logistics.

These topics illustrate how optimization can help decision-makers compare feasible alternatives and account for constraints. The precise models, datasets and reported performance improvements require examination of the original publications. [1] [2] [3]

Publications

  1. “Cold Chain Logistics Hub Location Optimization Considering Direct Transportation and Transportation Network Disruptions.” Applied Sciences, listed publication date 11 October 2026. [1]
  2. “Mobile Crew Dispatch Optimization in Urban Rail Transit with Working Duration Constraints.” Conference paper, listed publication date 25 April 2026. [2]
  3. “Dual-Network Optimization for Cold Chain Logistics: Balancing Network Investment and Operation Cost.” Transportation Research Record: Journal of the Transportation Research Board, listed publication date February 2026. [3]

Research Impact

The listed research addresses problems relevant to resilient logistics planning and efficient public transportation operations. Potential applications include assessing alternative hub locations, planning for disrupted routes, and coordinating workforce deployment within operating limits. These are plausible practical applications of the stated topics, not claims of demonstrated real-world outcomes. Citation counts and other bibliometric indicators offer limited measures of scholarly visibility and should be considered alongside methodological quality, reproducibility and practical relevance.

Award Suitability

The Innovative Research Award of Math Scientist Awards provides a recognition context for work involving research development and scientific problem-solving. Kong’s listed publications demonstrate thematic relevance to applied optimization in logistics and transportation. However, award eligibility or selection cannot be established from publication titles and profile metrics alone; a formal assessment should consider the full papers, originality, evidence of contribution and the award’s published criteria.

Conclusion

Deyang Kong’s supplied research profile connects Operations Research with cold chain logistics and urban rail transit. The three listed publications identify a consistent interest in network optimization, cost considerations and constrained operational planning. Verification of bibliographic records, current researcher metrics and award criteria is recommended before using this profile for formal evaluation or institutional reporting.

References

  1. MDPI. (2026). Cold Chain Logistics Hub Location Optimization Considering Direct Transportation and Transportation Network Disruptions. Applied Sciences.
    https://doi.org/10.3390/app162010061
  2. Association for Computing Machinery. (2026). Mobile Crew Dispatch Optimization in Urban Rail Transit with Working Duration Constraints. Conference paper.
    https://doi.org/10.1145/3828836.3828933
  3. SAGE Publications. (2026). Dual-Network Optimization for Cold Chain Logistics: Balancing Network Investment and Operation Cost. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981251368807
  4. ORCID. (n.d.). Researcher identifier record for Deyang Kong.
    https://orcid.org/0009-0000-1545-8450
  5. Elsevier. (n.d.). Scopus author details: Deyang Kong, Author ID 59492561400. Scopus. https://www.scopus.com/authid/detail.uri?authorId=59492561400
  6. Math Scientist Awards. (n.d.). Official award website and event information.
    mathscientists.com

Bin Wang | Operations Research | Excellence in Innovation

Published on by Math Scientist

Prof. Dr. Bin Wang | Operations Research | Excellence in Innovation

Professor at Anhui University of Chinese Medicine, China

Dr. Bin Wang 🎓, a distinguished researcher at the Key Laboratory of Xin’an Medicine, Anhui University of Chinese Medicine 🏛️, specializes in the scientific exploration of Traditional Chinese Medicine (TCM) 🌿. With a Ph.D. in Organic Chemistry from the University of Science and Technology of China 🧪, his innovative work focuses on the identification, structural analysis, and quality control of immunologically active polysaccharides. Dr. Wang has published extensively in high-impact journals 📚, contributing over 15 peer-reviewed articles that bridge traditional remedies with modern analytical techniques. His research enhances the functional food potential and pharmacological understanding of herbal medicines. Passionate about integrating chemistry, medicine, and health 🌱⚗️, Dr. Wang’s work is shaping the future of evidence-based TCM. His dedication and scientific excellence make him a valuable contributor to global health innovation 🌍💡.

Professional Profile 

Scopus Profile
ORCID Profile

🎓 Education

Dr. Bin Wang earned his Ph.D. in Organic Chemistry 🧪 from the University of Science and Technology of China, under the mentorship of Prof. Zhiyong Wang. Prior to that, he completed his M.S. in Physical Chemistry ⚛️ at Hunan University with Prof. Bingxin Cai and his B.S. in Chemistry 🧫 from West Anhui University. His solid academic foundation spans organic synthesis, analytical methods, and chemical applications in traditional medicine. With a cross-disciplinary background, Dr. Wang has consistently blended theory with real-world medicinal chemistry, setting the stage for his career in Traditional Chinese Medicine (TCM) research. This strong educational journey reflects his commitment to scientific rigor and innovation in the biochemical understanding of herbal medicine 🌿🔬.

 🏛️ Professional Experience

Currently serving at the Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine 🏛️, Dr. Bin Wang plays a pivotal role in advancing analytical methods for TCM. As a research leader, he directs high-impact studies focused on polysaccharide identification and bioactivity analysis 📈. Over the years, he has collaborated with leading pharmacologists, chemists, and clinicians, bridging traditional herbal wisdom with modern scientific validation. Dr. Wang’s career reflects his strong academic leadership, lab excellence, and mentorship of emerging scholars 🧑‍🔬. His expertise is also frequently sought after in interdisciplinary projects and national-level TCM development initiatives, contributing to policy, product innovation, and public health impact across China 🇨🇳🔍.

🔬 Research Interest

Dr. Wang’s research lies at the intersection of natural product chemistry and bioactive polysaccharides from traditional Chinese medicinal herbs 🌿. His key interests include the structural elucidation of complex sugars, their pharmacological effects, and quality control of herbal ingredients using modern chromatographic and spectroscopic tools 💊📊. He’s particularly known for applying advanced techniques like UHPLC-QTOF/MS, response surface methodology, and chemometric modeling to evaluate antioxidant, anti-inflammatory, and immune-modulating properties. With a focus on TCM modernization, Dr. Wang aims to unlock therapeutic pathways and improve herbal drug standardization for global health applications 🌍⚗️. His work not only improves clinical outcomes but also supports the credibility of traditional practices in contemporary pharmacological science.

🏅 Awards & Honors

Dr. Wang’s contributions have earned him widespread recognition 🏆 across the fields of TCM and analytical chemistry. He has co-authored impactful papers in renowned journals such as Frontiers in Nutrition, RSC Advances, and International Journal of Biological Macromolecules 📚. His polysaccharide research has been instrumental in achieving breakthrough formulations and enhanced bioactivity testing methods. Though not all honors may be publicly listed, his consistent presence in high-indexed publications, involvement in critical national research projects, and peer respect underscore his role as an innovator 🌟. His growing citation record and influence in the modernization of TCM validate his candidacy for honors such as “Excellence in Innovation” and other research distinction awards 🥇.

🧠 Research Skills

Dr. Wang possesses a comprehensive skill set that spans organic synthesis, natural product extraction, mass spectrometry, and chromatographic fingerprinting 🔬. He is highly proficient in using HPLC, UV, UHPLC-QTOF/MS, LC-MS/MS, and chemometric tools to analyze the structural and functional properties of TCM polysaccharides. His strong command over statistical validation techniques (like response surface methodology and Lambert–Beer Law integration 📈) has made his analytical protocols highly reproducible. Beyond lab work, he excels at scholarly writing, cross-disciplinary team leadership, and method development for quality assurance in herbal pharmacology 🌿💼. These skills enable him to transform ancient remedies into scientifically verified therapeutics, making him a torchbearer for evidence-based traditional medicine 🌟.

Publications Top Note 📝

  • Discrimination of Polygonatum Species via Polysaccharide Fingerprinting: Integrating Their Chemometrics, Antioxidant Activity, and Potential as Functional Foods

    • Authors: Z. Liu, W. Zhang*, Bin Wang*

    • Year: 2025

    • Source: Foods, Article 14(13):2385. DOI: 10.3390/foods14132385

  • Mitsunobu Reaction: Assembling C–N Bonds in Chiral Traditional Chinese Medicine

    • Authors: X. Zhou, L. Xu, Z. Ma, J. Cui, B. Wang*

    • Year: 2025

    • Source: RSC Advances, Vol. 15, p. 5167–5189. DOI: 10.1039/D4RA08573F

  • Simultaneous Determination of Naphthalimide-Labeled Monosaccharides in P. cyrtonema Polysaccharides Utilizing HPLC‑UV

    • Authors: J. Du, X. Zhou, L. Chen, L. Xu, B. Wang*

    • Year: 2025

    • Source: Analytical Methods, Vol. 17, pp. 1196–1205.

  • Structural Characteristics and Biological Activity of a Water-Soluble Polysaccharide HDCP‑2 from Camellia sinensis

    • Authors: Q. Sun, J. Du, Z. Wang, X. Li, R. Fu, H. Liu, N. Xu*, G. Zhu*, B. Wang*

    • Year: 2024

    • Source: International Journal of Biological Macromolecules, 277:134437.

  • Structural Characterization and Antioxidant Activity of Processed Polysaccharides PCP‑F1 from Polygonatum cyrtonema

    • Authors: Y. Zhao, Z. Wang, R. Fu, R. Xie*, B. Wang*, Q. Li*

    • Year: 2023

    • Source: Frontiers in Nutrition, 10:1272977.

  • A Novel Method for Pre‑Column Derivatization of Saccharides from Polygonatum cyrtonema by Integrating Lambert–Beer Law and RSM

    • Authors: H. Liu, Y. Zhao, L. Chen, J. Du, H. Guo*, B. Wang*

    • Year: 2023

    • Source: Molecules, 28:2186.

  • Structural Characterization and Anti‑Inflammatory Activity of a Novel Polysaccharide PKP2‑1 from Polygonatum kingianum

    • Authors: Z. Wang, H. Liu, R. Fu, J. Ou*, B. Wang*

    • Year: 2023

    • Source: Frontiers in Nutrition, 10:1156798.

  • Comprehensive Evaluation and Anti‑Inflammatory Activity of “Zhi” Polygonatum cyrtonema Produced by Classical Steaming

    • Authors: Z. Wang, R. Xie*, B. Wang*

    • Year: 2023

    • Source: Pharmacological Research – Modern Chinese Medicine, 6:100229.

  • Synthesis of Naphthalimide-Type Chemosensor and Its Application in Quality Evaluation for Polygonatum sibiricum Red

    • Authors: Z. Wang, Q. Sun, Y. Zhao, J. Du, B. Wang*

    • Year: 2022

    • Source: Frontiers in Chemistry, 10:969014.

  • A Novel Method for Investigating the Mechanism of Anti‑Rheumatoid Arthritis Activity of Angelica pubescentis Radix by UHPLC–QTOF/MS & Network Pharmacology

    • Authors: Z. Wang, H. Liu, Y. Cao, T. Zhang, H. Guo*, B. Wang*

    • Year: 2022

    • Source: Biomedical Chromatography, 36:e5389.

  • Polygonatum sibiricum Polysaccharide Prevents Depression-Like Behaviors by Reducing Oxidative Stress, Inflammation, and Cellular & Synaptic Damage

    • Authors: F. Shen, Z. Song, P. Xie, L. Li, B. Wang*, D. Peng*, G. Zhu*

    • Year: 2021

    • Source: Journal of Ethnopharmacology, 275:114164.

  • Screening Q‑Markers of TCMs from RA Rat Plasma via UHPLC‑QTOF/MS for Wu-Wei-Wen-Tong Capsule

    • Authors: H. Jiang, J. Liu*, Y. Wang, L. Chen, H. Liu, Z. Wang, B. Wang*

    • Year: 2021

    • Source: Journal of Mass Spectrometry, 56:e4711.

  • Effects of Borneol on Release of Compound Danshen Colon-Specific Osmotic Pump Capsule: In Vitro & Beagle Pharmacokinetics

    • Authors: L. Shao, C. Sun, W. Lu, J. Chen, D. Su, S. Gao, S. Chen, W. Fang, Y. Liu, B. Wang*, R. Hu*

    • Year: 2020

    • Source: AAPS PharmSciTech, 21:316.

  • UHPLC‑UV + UHPLC‑QTOF/MS Fingerprint for Nao‑Luo‑Xin‑Tong: Multi‑Wavelength Setting for TCM Prescription Composition

    • Authors: L. Wang, Y. Wang, G. Tong, Y. Li, M. Lei, H. Wu, B. Wang*, R. Hu*

    • Year: 2019

    • Source: Analytical Methods, 11:6092.

  • Simultaneous Analysis of Coumarin Derivatives in Radix Angelicae pubescentis by HPLC‑DAD‑ESI‑MSn

    • Authors: B. Wang*, X. Liu, A. Zhou, M. Meng, Q. Li*

    • Year: 2014

    • Source: Analytical Methods, 6:7996–8002.

🧾 Conclusion

Dr. Bin Wang stands out as a visionary scientist whose work bridges tradition and innovation 🌿🔬. With a robust academic background, high-impact publications, and cutting-edge research in TCM polysaccharides, he’s making vital contributions to herbal medicine modernization. His integration of advanced analytical chemistry with clinical relevance ensures that traditional practices meet contemporary scientific standards ⚖️. As a mentor, researcher, and innovator, Dr. Wang embodies the excellence, curiosity, and impact that define 21st-century research leadership 🌍. He is a strong contender for honors like the Excellence in Innovation Award, reflecting his commitment to translational research and sustainable health science development 🌱🏅.