Junwen Pan
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
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- Domain Adaptation and Few-Shot Learning
- AI in cancer detection
Papers in
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- Multimodal Machine Learning Applications 2
- Advanced Neural Network Applications 1
- Human Pose and Action Recognition 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Junwei Han (1 shared paper)Yu Wang (1 shared paper)Qinghua Hu (1 shared paper)Kaihua Zhang (1 shared paper)Dingwen Zhang (1 shared paper)Pengfei Zhu (2 shared papers)Yubing Tong (1 shared paper)Tiange Liu (1 shared paper)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Medical Physics (1 paper)Review of Scientific Instruments (1 paper)International Journal of Computer Vision (1 paper)Progress In Electromagnetics Research C (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junwen Pan
6 papers receiving 84 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 46
- Artificial Intelligence 40
- Media Technology 10
- Radiology, Nuclear Medicine and Imaging 15
- Geology 3
Countries citing papers authored by Junwen Pan
This map shows the geographic impact of Junwen Pan'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 Junwen Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwen Pan more than expected).
Fields of papers citing papers by Junwen Pan
This network shows the impact of papers produced by Junwen Pan. 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 Junwen Pan. The network helps show where Junwen Pan may publish in the future.
Co-authors
The 23 scholars most cited alongside Junwen Pan, 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 | 2022 | 56 | |
| 2 | 2020 | 17 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 2 | |
| 6 | 2021 | 1 | |
| 7 | 2022 | 0 |
About Junwen Pan
Junwen Pan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Physiology, having authored 7 papers that have together received 86 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (2 papers), Microwave Engineering and Waveguides (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Neural Network Applications (1 paper), Body Composition Measurement Techniques (1 paper), Human Pose and Action Recognition (1 paper), Microwave and Dielectric Measurement Techniques (1 paper) and Antenna Design and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (46 citations), Artificial Intelligence (40 citations), Media Technology (10 citations), Radiology, Nuclear Medicine and Imaging (15 citations) and Geology (3 citations). Junwen Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Junwei Han, Yu Wang, Qinghua Hu, Kaihua Zhang, Dingwen Zhang, Pengfei Zhu, Yubing Tong, Tiange Liu, Pengfei Xu and Jayaram K. Udupa. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Physics, Review of Scientific Instruments, International Journal of Computer Vision and Progress In Electromagnetics Research C.
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.