Hong-Xing Yu
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- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 6
- Face recognition and analysis 4
- Advanced Vision and Imaging 3
- Handwritten Text Recognition Techniques 2
- Biomedical Engineering top 5%
- Gait Recognition and Analysis 6
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- Computer Graphics and Visualization Techniques 5
- Media Technology top 10%
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- 3D Shape Modeling and Analysis 3
- Cited by
- Computer Vision and Pattern RecognitionBiomedical EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)ACM Transactions on Graphics (2 papers)International Journal of Computer Vision (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hong-Xing Yu
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 1.4k
- Biomedical Engineering 499
- Safety, Risk, Reliability and Quality 88
- Computer Graphics and Computer-Aided Design 27
- Media Technology 42
Countries citing papers authored by Hong-Xing Yu
This map shows the geographic impact of Hong-Xing Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hong-Xing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Xing Yu more than expected).
Fields of papers citing papers by Hong-Xing Yu
This network shows the impact of papers produced by Hong-Xing Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hong-Xing Yu. The network helps show where Hong-Xing Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong-Xing Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 11 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 20 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 175 | |
| 13 | 2019 | 280 | |
| 14 | 2018 | 132 | |
| 15 | 2018 | 5 | |
| 16 | 2018 | 44 | |
| 17 | RGB-Infrared Cross-Modality Person Re-identificationbreakdown → | 2017 | 543 |
| 18 | 2017 | 206 | |
| 19 | Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification. | 2017 | 2 |
About Hong-Xing Yu
Hong-Xing Yu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Human Pose and Action Recognition (6 papers), Gait Recognition and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers), Face recognition and analysis (4 papers), Advanced Vision and Imaging (3 papers), 3D Shape Modeling and Analysis (3 papers) and Handwritten Text Recognition Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Biomedical Engineering (499 citations) and Safety, Risk, Reliability and Quality (88 citations). Hong-Xing Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wei‐Shi Zheng, Ancong Wu, Jianhuang Lai, Shaogang Gong, Ancong Wu, Xiaowei Guo, Qize Yang, Jiajun Wu, Yi Li and Feiyue Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.