Chaotao Ding
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Image Enhancement Techniques
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
Papers in
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- Advanced Vision and Imaging 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 1
- Multimodal Machine Learning Applications 1
- Augmented Reality Applications 1
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- 3D Shape Modeling and Analysis 4
- Co-authors
- Ying Zang (7 shared papers)Tianrun Chen (6 shared papers)Lanyun Zhu (3 shared papers)Zejian Li (3 shared papers)Shangzhan Zhang (2 shared papers)Yan Wang (1 shared paper)Lingyun Sun (1 shared paper)Lingyun Sun (2 shared papers)
In The Last Decade
Chaotao Ding
7 papers receiving 172 citations
Chaotao Ding's Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 105
- Computer Graphics and Computer-Aided Design 9
- Media Technology 21
- Neurology 10
- Artificial Intelligence 26
Countries citing papers authored by Chaotao Ding
This map shows the geographic impact of Chaotao 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 Chaotao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaotao Ding more than expected).
Fields of papers citing papers by Chaotao Ding
This network shows the impact of papers produced by Chaotao 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 Chaotao Ding. The network helps show where Chaotao Ding may publish in the future.
Co-authors
The 19 scholars most cited alongside Chaotao 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
| # | Work | ||
|---|---|---|---|
| 1 | SAM-Adapter: Adapting Segment Anything in Underperformed Scenes Hit paper breakdown → | 2023 | 142 |
| 2 | 2023 | 8 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 4 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 0 |
About Chaotao Ding
Chaotao Ding is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering and Artificial Intelligence, having authored 8 papers that have together received 174 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Vision and Imaging (2 papers), Advanced Neural Network Applications (2 papers), Video Surveillance and Tracking Methods (1 paper), Multimodal Machine Learning Applications (1 paper), Augmented Reality Applications (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (105 citations), Computer Graphics and Computer-Aided Design (9 citations), Media Technology (21 citations), Neurology (10 citations) and Artificial Intelligence (26 citations). Chaotao Ding has collaborated with scholars based in China and Singapore. Frequent co-authors include Ying Zang, Tianrun Chen, Lanyun Zhu, Zejian Li, Shangzhan Zhang, Yan Wang, Lingyun Sun, Lingyun Sun, Yan Wang and Wenjun Hu. Their work appears in journals such as IEEE Transactions on Multimedia, Neurocomputing and Signal Image and Video Processing.
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.