Dianmin Sun
Impact in
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- Advanced Vision and Imaging
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- Hand Gesture Recognition Systems
Papers in
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- Advanced Neural Network Applications 3
- Image Enhancement Techniques 2
- Human Pose and Action Recognition 2
- Advanced Image Processing Techniques 2
- Advanced Vision and Imaging 2
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- Soft Robotics and Applications 2
- Medical Imaging and Analysis 2
- Co-authors
- Zhongcai Pei (2 shared papers)Weihai Chen (2 shared papers)Xingming Wu (2 shared papers)Baochang Zhang (2 shared papers)Shuwei Shao (2 shared papers)Wentao Zhu (1 shared paper)Shi Wang (5 shared papers)Zhi Liu (4 shared papers)
- Journals
- Neural Computing and Applications (7 papers)Future Generation Computer Systems (3 papers)Pattern Recognition Letters (1 paper)Computerized Medical Imaging and Graphics (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dianmin Sun
18 papers receiving 294 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 89
- Human-Computer Interaction 18
- Cancer Research 42
- Media Technology 20
- Control and Systems Engineering 43
Countries citing papers authored by Dianmin Sun
This map shows the geographic impact of Dianmin Sun'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 Dianmin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dianmin Sun more than expected).
Fields of papers citing papers by Dianmin Sun
This network shows the impact of papers produced by Dianmin Sun. 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 Dianmin Sun. The network helps show where Dianmin Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Dianmin Sun, 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 | 2021 | 71 | |
| 2 | 2018 | 50 | |
| 3 | 2020 | 34 | |
| 4 | 2020 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 1 |
About Dianmin Sun
Dianmin Sun is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Control and Systems Engineering and Computer Networks and Communications, having authored 18 papers that have together received 300 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Image Enhancement Techniques (2 papers), Human Pose and Action Recognition (2 papers), Advanced Image Processing Techniques (2 papers), Soft Robotics and Applications (2 papers), Advanced Vision and Imaging (2 papers), IoT and Edge/Fog Computing (2 papers) and Medical Imaging and Analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Human-Computer Interaction (18 citations), Cancer Research (42 citations), Media Technology (20 citations) and Control and Systems Engineering (43 citations). Dianmin Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongcai Pei, Weihai Chen, Xingming Wu, Baochang Zhang, Shuwei Shao, Wentao Zhu, Shi Wang, Zhi Liu, Aiqin Liu and Bufu Tang. Their work appears in journals such as Neural Computing and Applications, Future Generation Computer Systems, Pattern Recognition Letters, Computerized Medical Imaging and Graphics and Medical Image Analysis.
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.