Jiajun Wen
Impact in
- Computational Mathematics top 10%
-
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Face and Expression Recognition 19
- Video Surveillance and Tracking Methods 11
- Human Pose and Action Recognition 5
-
- Machine Learning and ELM 6
- Anomaly Detection Techniques and Applications 5
- Domain Adaptation and Few-Shot Learning 5
- Co-authors
- Zhihui Lai (16 shared papers)Wai Keung Wong (12 shared papers)Zhihui Lai (11 shared papers)Jinrong Cui (6 shared papers)Yuwu Lu (4 shared papers)Yong Xu (6 shared papers)Xiaozhao Fang (1 shared paper)Linlin Shen (5 shared papers)
- Journals
- Pattern Recognition (7 papers)Information Sciences (3 papers)International Journal of Approximate Reasoning (3 papers)Neurocomputing (2 papers)IEEE Transactions on Cybernetics (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jiajun Wen
48 papers receiving 662 citations
Peers
Comparison fields: 5 of 72
- Computational Mathematics 16
- Computer Vision and Pattern Recognition 470
- Media Technology 118
- Signal Processing 76
- Artificial Intelligence 224
Countries citing papers authored by Jiajun Wen
This map shows the geographic impact of Jiajun Wen'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 Jiajun Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiajun Wen more than expected).
Fields of papers citing papers by Jiajun Wen
This network shows the impact of papers produced by Jiajun Wen. 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 Jiajun Wen. The network helps show where Jiajun Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiajun Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 117 | |
| 2 | 2014 | 64 | |
| 3 | 2018 | 54 | |
| 4 | 2016 | 49 | |
| 5 | 2023 | 40 | |
| 6 | 2018 | 39 | |
| 7 | 2022 | 35 | |
| 8 | 2020 | 33 | |
| 9 | 2014 | 29 | |
| 10 | 2014 | 23 | |
| 11 | 2014 | 17 | |
| 12 | 2014 | 15 | |
| 13 | 2023 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2012 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 7 |
About Jiajun Wen
Jiajun Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Signal Processing and Media Technology, having authored 53 papers that have together received 673 indexed citations. Recurring topics across this work include Face and Expression Recognition (19 papers), Sparse and Compressive Sensing Techniques (11 papers), Video Surveillance and Tracking Methods (11 papers), Machine Learning and ELM (6 papers), Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Remote-Sensing Image Classification (5 papers). The work is most often cited by research in Computational Mathematics (16 citations), Computer Vision and Pattern Recognition (470 citations), Media Technology (118 citations), Signal Processing (76 citations) and Artificial Intelligence (224 citations). Jiajun Wen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhihui Lai, Wai Keung Wong, Zhihui Lai, Jinrong Cui, Yuwu Lu, Yong Xu, Xiaozhao Fang, Linlin Shen, Can Gao and Jie Zhou. Their work appears in journals such as Pattern Recognition, Information Sciences, International Journal of Approximate Reasoning, Neurocomputing and IEEE Transactions on Cybernetics.
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.