Jun Wen
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 9
- Machine Learning in Healthcare 4
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- Human Pose and Action Recognition 6
- Multimodal Machine Learning Applications 6
- Image Retrieval and Classification Techniques 3
- Co-authors
- Nenggan Zheng (8 shared papers)Zhefeng Gong (4 shared papers)Risheng Liu (3 shared papers)Jianhua Dai (1 shared paper)Junsong Yuan (3 shared papers)Liang Wang (1 shared paper)Yuntao Qian (1 shared paper)Chenyang Si (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (2 papers)Journal of Medical Internet Research (2 papers)Bioinformatics (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Neural Networks (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Wen
31 papers receiving 371 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 251
- Artificial Intelligence 207
- Human-Computer Interaction 35
- Biomedical Engineering 102
- Control and Systems Engineering 40
Countries citing papers authored by Jun Wen
This map shows the geographic impact of Jun 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 Jun Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wen more than expected).
Fields of papers citing papers by Jun Wen
This network shows the impact of papers produced by Jun 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 Jun Wen. The network helps show where Jun Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 111 | |
| 2 | 2021 | 38 | |
| 3 | 2019 | 30 | |
| 4 | 2019 | 29 | |
| 5 | 2022 | 29 | |
| 6 | 2021 | 20 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2011 | 5 | |
| 15 | 2005 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2011 | 4 | |
| 18 | 2021 | 4 | |
| 19 | Design and implementation of Android phone based access and control in smart space | 2011 | 3 |
| 20 | 2011 | 3 |
About Jun Wen
Jun Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, having authored 37 papers that have together received 378 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Human Pose and Action Recognition (6 papers), Multimodal Machine Learning Applications (6 papers), Mobile Agent-Based Network Management (4 papers), Machine Learning in Healthcare (4 papers), Hand Gesture Recognition Systems (3 papers), Image Retrieval and Classification Techniques (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Artificial Intelligence (207 citations), Human-Computer Interaction (35 citations), Biomedical Engineering (102 citations) and Control and Systems Engineering (40 citations). Jun Wen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nenggan Zheng, Zhefeng Gong, Risheng Liu, Jianhua Dai, Junsong Yuan, Liang Wang, Yuntao Qian, Chenyang Si, Zheng Qian and Dongfang Liu. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Medical Internet Research, Bioinformatics, Computer Methods and Programs in Biomedicine and Neural Networks.
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.