Yikang Ding
Impact in
- Geology top 10%
- 3D Surveying and Cultural Heritage
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- Advanced Vision and Imaging
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Image Processing Techniques
Papers in
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- Advanced Vision and Imaging 5
- Advanced Image and Video Retrieval Techniques 2
- Advanced Image Processing Techniques 2
- Advanced Neural Network Applications 2
- Visual Attention and Saliency Detection 1
- Optical measurement and interference techniques 1
-
- Robotics and Sensor-Based Localization 2
- Co-authors
- Yuanjiang Wang (1 shared paper)Qingtian Zhu (1 shared paper)Xiao Liu (1 shared paper)Wentao Yuan (1 shared paper)Xiangyue Liu (1 shared paper)Haotian Zhang (1 shared paper)Zhiheng Li (4 shared papers)Chengjie Wang (2 shared papers)
- Journals
- IEEE Access (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)2022 IEEE International Conference on Image Processing (ICIP) (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yikang Ding
8 papers receiving 179 citations
Peers
Comparison fields: 5 of 25
- Geology 53
- Computer Vision and Pattern Recognition 148
- Computer Graphics and Computer-Aided Design 19
- Media Technology 24
- Aerospace Engineering 43
Countries citing papers authored by Yikang Ding
This map shows the geographic impact of Yikang 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 Yikang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yikang Ding more than expected).
Fields of papers citing papers by Yikang Ding
This network shows the impact of papers produced by Yikang 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 Yikang Ding. The network helps show where Yikang Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yikang 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 | 2022 | 142 | |
| 2 | 2023 | 21 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2025 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 |
About Yikang Ding
Yikang Ding is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Graphics and Computer-Aided Design, Computational Mechanics and Media Technology, having authored 8 papers that have together received 181 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Neural Network Applications (2 papers), Visual Attention and Saliency Detection (1 paper) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Geology (53 citations), Computer Vision and Pattern Recognition (148 citations), Computer Graphics and Computer-Aided Design (19 citations), Media Technology (24 citations) and Aerospace Engineering (43 citations). Yikang Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuanjiang Wang, Qingtian Zhu, Xiao Liu, Wentao Yuan, Xiangyue Liu, Haotian Zhang, Zhiheng Li, Chengjie Wang, Fan Tang and Yong Liu. Their work appears in journals such as IEEE Access, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE International Conference on Image Processing (ICIP).
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.