Jin Tang
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- Advanced Vision and Imaging 19
- Image Enhancement Techniques 19
- Advanced Image Processing Techniques 12
- Advanced Image and Video Retrieval Techniques 9
- Video Surveillance and Tracking Methods 8
- Human Pose and Action Recognition 8
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 9
- Media Technology top 5%
- Neurology top 10%
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- Gait Recognition and Analysis 10
- Co-authors
- E. Mark HaackeFan GuoJaladhar NeelavalliYu‐Chung N. ChengTardi TjahjadiZixing CaiXiaoming XiaoSagar Buch
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jin Tang
64 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 434
- Radiology, Nuclear Medicine and Imaging 428
- Human-Computer Interaction 101
- Media Technology 117
- Neurology 133
Countries citing papers authored by Jin Tang
This map shows the geographic impact of Jin Tang'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 Jin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tang more than expected).
Fields of papers citing papers by Jin Tang
This network shows the impact of papers produced by Jin Tang. 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 Jin Tang. The network helps show where Jin Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jin Tang, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 18 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 5 | |
| 13 | 2016 | 60 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 1 | |
| 16 | Road Image Segmentation Based on an Adaptive Region Growing | 2011 | 1 |
| 17 | 2011 | 18 | |
| 18 | Review and prospect of image dehazing techniques | 2010 | 14 |
| 19 | 2010 | 18 | |
| 20 | 2009 | 4 |
About Jin Tang
Jin Tang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Image Enhancement Techniques (19 papers), Advanced Image Processing Techniques (12 papers), Gait Recognition and Analysis (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Hand Gesture Recognition Systems (9 papers), Video Surveillance and Tracking Methods (8 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (434 citations), Radiology, Nuclear Medicine and Imaging (428 citations) and Human-Computer Interaction (101 citations). Jin Tang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include E. Mark Haacke, Fan Guo, Jaladhar Neelavalli, Yu‐Chung N. Cheng, Tardi Tjahjadi, Zixing Cai, Xiaoming Xiao, Sagar Buch, Beiji Zou and Hui Peng. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Image Processing.
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.