Kun Ding
Impact in
- Computational Mathematics top 10%
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
-
- Advanced Image and Video Retrieval Techniques 9
- Multimodal Machine Learning Applications 6
- Video Surveillance and Tracking Methods 4
- Image Enhancement Techniques 3
- Video Analysis and Summarization 2
-
- Remote-Sensing Image Classification 4
- Co-authors
- Chunhong Pan (11 shared papers)Shiming Xiang (10 shared papers)Bin Fan (5 shared papers)Lingfeng Wang (3 shared papers)Chunlei Huo (4 shared papers)Xinyu Xiao (2 shared papers)Dong‐Liang Zhong (2 shared papers)Jiangyong Duan (1 shared paper)
- Journals
- IEEE Geoscience and Remote Sensing Letters (3 papers)IEEE Transactions on Multimedia (2 papers)Energy & Fuels (2 papers)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Sensors (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kun Ding
20 papers receiving 501 citations
Peers
Comparison fields: 5 of 53
- Computational Mathematics 10
- Media Technology 137
- Computer Vision and Pattern Recognition 309
- Environmental Chemistry 64
- Atmospheric Science 89
Countries citing papers authored by Kun Ding
This map shows the geographic impact of Kun Ding'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 Kun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ding more than expected).
Fields of papers citing papers by Kun Ding
This network shows the impact of papers produced by Kun Ding. 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 Kun Ding. The network helps show where Kun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ding, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2015 | 76 | |
| 3 | 2016 | 65 | |
| 4 | 2013 | 46 | |
| 5 | 2019 | 39 | |
| 6 | 2017 | 37 | |
| 7 | 2014 | 33 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 25 | |
| 10 | 2016 | 25 | |
| 11 | 2015 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2024 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2008 | 1 |
About Kun Ding
Kun Ding is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Atmospheric Science and Environmental Chemistry, having authored 23 papers that have together received 510 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Multimodal Machine Learning Applications (6 papers), Remote Sensing and Land Use (4 papers), Remote-Sensing Image Classification (4 papers), Video Surveillance and Tracking Methods (4 papers), Image Enhancement Techniques (3 papers), Video Analysis and Summarization (2 papers) and Methane Hydrates and Related Phenomena (2 papers). The work is most often cited by research in Computational Mathematics (10 citations), Media Technology (137 citations), Computer Vision and Pattern Recognition (309 citations), Environmental Chemistry (64 citations) and Atmospheric Science (89 citations). Kun Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Chunhong Pan, Shiming Xiang, Bin Fan, Lingfeng Wang, Chunlei Huo, Xinyu Xiao, Dong‐Liang Zhong, Jiangyong Duan, Jin Yan and Yang Chen. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Multimedia, Energy & Fuels, IEEE Transactions on Geoscience and Remote Sensing and Sensors.
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.