Jingwen He
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- Advanced Image Processing Techniques 7
- Image and Signal Denoising Methods 6
- Image Enhancement Techniques 3
- Media Technology top 10%
- Advanced Image Fusion Techniques 2
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- Multi-Agent Systems and Negotiation 3
- Logic, Reasoning, and Knowledge 2
- Semantic Web and Ontologies 2
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- Advanced Data Processing Techniques 1
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Expert Systems with Applications (1 paper)Pattern Recognition (1 paper)
- 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
- Instrumentation 6
- Computer Graphics and Computer-Aided Design 5
- Acoustics and Ultrasonics 1
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
The 25 scholars most cited alongside Jingwen He, 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 | 2024 | 3 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 48 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 13 | |
| 7 | 2019 | 62 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 15 | |
| 10 | 2019 | 4 | |
| 11 | Managing and leveraging action knowledge: The case of front-line operators in the petrochemical industry | 2015 | 1 |
| 12 | Systems developers define their own information needs | 2009 | 1 |
| 13 | 2008 | 2 | |
| 14 | GOAL COMMITMENT IN ENTERPRISE SYSTEM LEARNING: AN EXPLORATORY EXAMINATION OF ITS ANTECEDENTS AND CONSEQUENCE | 2008 | 1 |
| 15 | 2008 | 8 | |
| 16 | 2008 | 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), Multi-Agent Systems and Negotiation (3 papers), Image Enhancement Techniques (3 papers), Logic, Reasoning, and Knowledge (2 papers), Semantic Web and Ontologies (2 papers), Advanced Image Fusion Techniques (2 papers) and Advanced Data Processing Techniques (1 paper). 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.