Liwang Ding
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
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- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
Papers in
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- Bayesian Methods and Mixture Models 9
- Domain Adaptation and Few-Shot Learning 5
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- Probability and Risk Models 14
- Co-authors
- Yingbin Liu (7 shared papers)Yishu Liu (8 shared papers)Conghui Chen (5 shared papers)Ching Y. Suen (1 shared paper)Zigen Song (1 shared paper)Changmiao Hu (1 shared paper)Hongbin Li (1 shared paper)Wenkai Zhang (1 shared paper)
In The Last Decade
Liwang Ding
23 papers receiving 384 citations
Peers
Comparison fields: 5 of 64
- Media Technology 244
- Computer Vision and Pattern Recognition 229
- Atmospheric Science 92
- Statistics and Probability 20
- Artificial Intelligence 80
Countries citing papers authored by Liwang Ding
This map shows the geographic impact of Liwang 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 Liwang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwang Ding more than expected).
Fields of papers citing papers by Liwang Ding
This network shows the impact of papers produced by Liwang 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 Liwang Ding. The network helps show where Liwang Ding may publish in the future.
Co-authors
The 16 scholars most cited alongside Liwang 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 105 | |
| 2 | 2020 | 70 | |
| 3 | 2018 | 65 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 24 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2015 | 8 | |
| 11 | 2018 | 6 | |
| 12 | 2016 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Liwang Ding
Liwang Ding is a scholar working on Artificial Intelligence, Management Science and Operations Research, Statistics and Probability, Computer Vision and Pattern Recognition and Media Technology, having authored 27 papers that have together received 398 indexed citations. Recurring topics across this work include Probability and Risk Models (14 papers), Bayesian Methods and Mixture Models (9 papers), Remote-Sensing Image Classification (8 papers), Statistical Methods and Inference (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Financial Risk and Volatility Modeling (4 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Media Technology (244 citations), Computer Vision and Pattern Recognition (229 citations), Atmospheric Science (92 citations), Statistics and Probability (20 citations) and Artificial Intelligence (80 citations). Liwang Ding has collaborated with scholars based in China and Canada. Frequent co-authors include Yingbin Liu, Yishu Liu, Conghui Chen, Ching Y. Suen, Zigen Song, Changmiao Hu, Hongbin Li, Wenkai Zhang, Ping Chen and Yongming Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Journal of Inequalities and Applications, Materials Research Innovations and Statistical Papers.
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.