Junwen Pan
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Multimodal Machine Learning Applications
Papers in
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- Advanced Neural Network Applications 6
- Video Surveillance and Tracking Methods 3
- Medical Image Segmentation Techniques 3
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- Domain Adaptation and Few-Shot Learning 3
- Imbalanced Data Classification Techniques 1
- Co-authors
- Junwei Han (1 shared paper)Pengfei Zhu (3 shared papers)Qinghua Hu (1 shared paper)Dingwen Zhang (1 shared paper)Kaihua Zhang (1 shared paper)Qi Bi (2 shared papers)Pengfei Zhu (1 shared paper)Jayaram K. Udupa (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Medical Physics (1 paper)IEEE Transactions on Medical Imaging (1 paper)Review of Scientific Instruments (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junwen Pan
13 papers receiving 417 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 357
- Health Informatics 5
- Artificial Intelligence 55
- Media Technology 11
- Signal Processing 6
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 25 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 | 2020 | 216 | |
| 2 | 2022 | 69 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 22 | |
| 5 | 2022 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 12 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2020 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 0 |
About Junwen Pan
Junwen Pan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering, having authored 14 papers that have together received 425 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (3 papers), Medical Image Segmentation Techniques (3 papers), Antenna Design and Optimization (1 paper), Wireless Power Transfer Systems (1 paper), Imbalanced Data Classification Techniques (1 paper) and Microwave Imaging and Scattering Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (357 citations), Health Informatics (5 citations), Artificial Intelligence (55 citations), Media Technology (11 citations) and Signal Processing (6 citations). Junwen Pan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Junwei Han, Pengfei Zhu, Qinghua Hu, Dingwen Zhang, Kaihua Zhang, Qi Bi, Pengfei Zhu, Jayaram K. Udupa, Hong-Yu Zhou and Cheng Bian. Their work appears in journals such as International Journal of Computer Vision, Medical Physics, IEEE Transactions on Medical Imaging, Review of Scientific Instruments and Lecture notes in computer science.
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.