Jingyong Su
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Human-Computer Interaction top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Anuj SrivastavaBoulbaba Ben AmorRushil AnirudhPavan TuragaZhe‐Ming LuJeng‐Shyang PanXiaolong WangZhuotao Tian
- Topics
- Morphological variations and asymmetry (9 papers)Human Pose and Action Recognition (8 papers)Face and Expression Recognition (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Medical Imaging
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jingyong Su
51 papers receiving 796 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 525
- Artificial Intelligence 218
- Biomedical Engineering 153
- Human-Computer Interaction 91
- Radiology, Nuclear Medicine and Imaging 80
Countries citing papers authored by Jingyong Su
This map shows the geographic impact of Jingyong Su'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 Jingyong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyong Su more than expected).
Fields of papers citing papers by Jingyong Su
This network shows the impact of papers produced by Jingyong Su. 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 Jingyong Su. The network helps show where Jingyong Su may publish in the future.
Co-authorship network of co-authors of Jingyong Su
This figure shows the co-authorship network connecting the top 25 collaborators of Jingyong Su. A scholar is included among the top collaborators of Jingyong Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingyong Su. Jingyong Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 35 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 52 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories | 1 |
| 18 | 57 | |
| 19 | Multi-feature based fire detection in video | 4 |
| 20 | 23 |
About Jingyong Su
Jingyong Su is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Human-Computer Interaction, having authored 56 papers that have together received 825 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (9 papers), Human Pose and Action Recognition (8 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (525 citations), Human-Computer Interaction (91 citations) and Artificial Intelligence (218 citations). Jingyong Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Anuj Srivastava, Boulbaba Ben Amor, Rushil Anirudh, Pavan Turaga, Zhe‐Ming Lu, Jeng‐Shyang Pan, Xiaolong Wang, Zhuotao Tian, Tong Zhang and Buzhou Tang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Medical Imaging.
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.