Innovative Research Award
Xinying Liu — Shandong University of Science and Technology, China
| Xinying Liu |
| Affiliation |
Shandong University of Science and Technology |
| Country |
China |
| Scopus ID |
57205204712 |
| Documents |
18 |
| Citations |
65 |
| h-index |
5 |
| Subject Area |
Computer Vision |
| Event |
Math Scientist Awards |
This academic recognition profile presents the supplied bibliometric information for Xinying Liu, a researcher from China whose identified subject area is computer vision. The supplied profile reports Scopus Author ID 57205204712, 65 citations, and an h-index of 5.[1]
The profile is prepared in the context of the Math Scientist Awards and the stated Innovative Research Award. The information is presented in a neutral academic format, while award eligibility and recognition should ultimately be determined according to the official criteria and verification procedures of the relevant awarding organization.
Abstract
This article provides a scholarly recognition profile of Xinying Liu, a researcher from China associated with the field of computer vision. The supplied bibliometric information identifies Scopus Author ID 57205204712, with 65 reported citations and an h-index of 5.[1] Computer vision is a field of computer science and artificial intelligence concerned with methods for acquiring, processing, interpreting, and understanding visual information from images and video. Its research encompasses image analysis, object recognition, visual representation, pattern recognition, and machine learning-based perception.[2]
Keywords
Computer Vision, Image Processing, Image Analysis, Pattern Recognition, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision Algorithms, Object Detection, Object Recognition, Image Classification, Semantic Segmentation, Instance Segmentation, Feature Extraction, Visual Recognition, Image Retrieval, Video Analysis, Visual Computing, Neural Networks, Convolutional Neural Networks, Representation Learning, Medical Imaging, Remote Sensing, Scene Understanding, Visual Tracking, 3D Vision, Computational Imaging, Image Reconstruction, Multimodal Learning, Research Impact, Bibliometrics, Math Scientist Awards, Innovative Research Award.
Introduction
Computer vision develops computational methods for extracting meaningful information from visual data. Research in the field commonly addresses the representation, analysis, and interpretation of images and video, with applications extending across robotics, healthcare, autonomous systems, manufacturing, security, remote sensing, and scientific imaging.[2]
Modern computer vision increasingly incorporates machine learning and deep neural networks. Convolutional neural networks and related architectures have become important approaches for image classification, object detection, segmentation, recognition, and other visual-analysis tasks.[3]
Research Profile
The supplied citation count and h-index provide quantitative indicators of indexed scholarly visibility. These values can change over time as new publications and citations are indexed, and they should therefore be treated as time-dependent bibliometric measures.[1]
Research Contributions
Research in computer vision encompasses a broad range of computational problems involving visual information. Common research directions include image classification, object detection, image segmentation, feature representation, visual tracking, image reconstruction, 3D scene understanding, and multimodal visual analysis.[2]
Publications
The supplied information identifies Xinying Liu through Scopus Author ID 57205204712. A complete verified bibliography would require access to the corresponding Scopus author record and individual publication records. Such records may provide publication titles, journals, publication years, co-authors, citation information, and DOI identifiers.[1]
Research Impact
The supplied profile reports 65 citations and an h-index of 5. These indicators provide quantitative measures of citation activity associated with the researcher’s indexed scholarly output.[1]
Award Suitability
The Math Scientist Awards are the stated recognition context for this profile, with the Innovative Research Award identified as the recognition category. The supplied academic indicators identify a researcher associated with computer vision, with 65 reported citations and an h-index of 5. These data may form part of an academic recognition assessment, subject to the official eligibility criteria, nomination requirements, and independent verification procedures of the awarding organization.
Conclusion
Xinying Liu is presented in the supplied information as a Chinese researcher associated with computer vision. The reported Scopus profile identifies Author ID 57205204712, 65 citations, and an h-index of 5.[1] These measures provide a quantitative indication of indexed scholarly visibility. A comprehensive assessment of research achievement should additionally consider verified publications, methodological rigor, originality, scientific significance, and contributions to the development and application of computer vision.
External Links
References
- Elsevier. (n.d.). Scopus author details: Xinying Liu, Author ID 57205204712. Scopus. https://www.scopus.com/pages/authors/57205204712
- Hybrid Insurance Recommendation Algorithm Integrating Deep Neural Networks and Knowledge Graphs Based on Matrix Factorization, DOI: https://doi.org/10.31577/cai_2026_1_1