Jingyu Yang
- Computer Vision and Pattern Recognition top 2%
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Topics
- Video Surveillance and Tracking Methods (9 papers)Rough Sets and Fuzzy Logic (6 papers)Face and Expression Recognition (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingPattern Recognition
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jingyu Yang
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Computer Vision and Pattern Recognition 665
- Computational Theory and Mathematics 341
- Artificial Intelligence 266
- Information Systems 179
- Signal Processing 172
Countries citing papers authored by Jingyu Yang
This map shows the geographic impact of Jingyu Yang'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 Jingyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingyu Yang more than expected).
Fields of papers citing papers by Jingyu Yang
This network shows the impact of papers produced by Jingyu Yang. 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 Jingyu Yang. The network helps show where Jingyu Yang may publish in the future.
Co-authorship network of co-authors of Jingyu Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jingyu Yang. A scholar is included among the top collaborators of Jingyu Yang 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 Jingyu Yang. Jingyu Yang 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 | 98 | |
| 4 | 65 | |
| 5 | 6 | |
| 6 | 114 | |
| 7 | 56 | |
| 8 | 54 | |
| 9 | 23 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Energy Efficient Reliable Multi-path Routing Using Network Coding for Sensor Network | 12 |
| 14 | 4 | |
| 15 | Kernel nearest neighbor convex hull classifier with kernel subspace sample selection method | 0 |
| 16 | 359 | |
| 17 | 21 | |
| 18 | 17 | |
| 19 | 70 | |
| 20 | 1 |
About Jingyu Yang
Jingyu Yang is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Rough Sets and Fuzzy Logic (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (665 citations), Computational Theory and Mathematics (341 citations) and Media Technology (141 citations). Jingyu Yang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jian Yang, David Zhang, Ben Niu, Xibei Yang, Dong‐Jun Yu, Jun Hu, Hong‐Bin Shen, Jinhui Tang, Jing Yang and Yuhua Qian. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.
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.