Jingwen He
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 10%
- Artificial Intelligence
- Computational Mechanics
- Signal Processing
- Topics
- Advanced Image Processing Techniques (7 papers)Image and Signal Denoising Methods (6 papers)Multi-Agent Systems and Negotiation (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsPattern Recognition
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jingwen He
15 papers receiving 183 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 149
- Media Technology 48
- Artificial Intelligence 20
- Computational Mechanics 10
- Signal Processing 9
Countries citing papers authored by Jingwen He
This map shows the geographic impact of Jingwen He'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 Jingwen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwen He more than expected).
Fields of papers citing papers by Jingwen He
This network shows the impact of papers produced by Jingwen He. 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 Jingwen He. The network helps show where Jingwen He may publish in the future.
Co-authorship network of co-authors of Jingwen He
This figure shows the co-authorship network connecting the top 25 collaborators of Jingwen He. A scholar is included among the top collaborators of Jingwen He 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 Jingwen He. Jingwen He 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 | 3 | |
| 3 | 12 | |
| 4 | 48 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 62 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 4 | |
| 11 | Managing and leveraging action knowledge: The case of front-line operators in the petrochemical industry | 1 |
| 12 | Systems developers define their own information needs | 1 |
| 13 | 2 | |
| 14 | GOAL COMMITMENT IN ENTERPRISE SYSTEM LEARNING: AN EXPLORATORY EXAMINATION OF ITS ANTECEDENTS AND CONSEQUENCE | 1 |
| 15 | 8 | |
| 16 | 3 |
About Jingwen He
Jingwen He is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications, having authored 16 papers that have together received 187 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Multi-Agent Systems and Negotiation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (149 citations), Media Technology (48 citations) and Instrumentation (6 citations). Jingwen He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chao Dong, Yu Qiao, Shi Wu, Lean Fu, Kai Chen, Yihao Liu, Dong Xu, Huaiqing Wang, Haoming Cai and Hengyuan Zhao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications 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.