Chris Ding
Impact in
- Computational Mathematics top 5%
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- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Advanced Clustering Algorithms Research 3
- Advanced Graph Neural Networks 2
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- Face and Expression Recognition 4
- Graph Theory and Algorithms 2
- Co-authors
- Michael I. Jordan (2 shared papers)Quanquan Gu (1 shared paper)Jie Zhou (1 shared paper)Tao Li (1 shared paper)Tao Li (2 shared papers)Zhongyuan Zhang (2 shared papers)Xiang‐Sun Zhang (1 shared paper)Xiaofeng He (2 shared papers)
- Journals
- Language Speech and Hearing Services in Schools (1 paper)Pattern Recognition Letters (1 paper)Scientific Reports (1 paper)Journal of Computational Biology (1 paper)Knowledge and Information Systems (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Chris Ding
13 papers receiving 711 citations
Peers
Comparison fields: 5 of 99
- Computational Mathematics 37
- Computer Vision and Pattern Recognition 327
- Artificial Intelligence 392
- Signal Processing 111
- Statistical and Nonlinear Physics 118
Countries citing papers authored by Chris Ding
This map shows the geographic impact of Chris 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 Chris Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Ding more than expected).
Fields of papers citing papers by Chris Ding
This network shows the impact of papers produced by Chris 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 Chris Ding. The network helps show where Chris Ding may publish in the future.
Co-authors
The 23 scholars most cited alongside Chris 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 | 2010 | 195 | |
| 2 | 2007 | 170 | |
| 3 | 2008 | 114 | |
| 4 | 2007 | 103 | |
| 5 | 2001 | 55 | |
| 6 | 2014 | 46 | |
| 7 | 2012 | 27 | |
| 8 | 2017 | 11 | |
| 9 | 2004 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2015 | 7 | |
| 12 | 2007 | 4 | |
| 13 | 2016 | 2 | |
| 14 | Spectral Clustering, Ordering and Ranking: Statistical Learning with Matrix Factorizations | 2014 | 0 |
About Chris Ding
Chris Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Molecular Biology and Information Systems, having authored 14 papers that have together received 750 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Face and Expression Recognition (4 papers), Advanced Clustering Algorithms Research (3 papers), Graph Theory and Algorithms (2 papers), Data Management and Algorithms (2 papers), Advanced Graph Neural Networks (2 papers), VLSI and FPGA Design Techniques (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Computational Mathematics (37 citations), Computer Vision and Pattern Recognition (327 citations), Artificial Intelligence (392 citations), Signal Processing (111 citations) and Statistical and Nonlinear Physics (118 citations). Chris Ding has collaborated with scholars based in United States and China. Frequent co-authors include Michael I. Jordan, Quanquan Gu, Jie Zhou, Tao Li, Tao Li, Zhongyuan Zhang, Xiang‐Sun Zhang, Tao Li, Xiaofeng He and Bin Luo. Their work appears in journals such as Language Speech and Hearing Services in Schools, Pattern Recognition Letters, Scientific Reports, Journal of Computational Biology and Knowledge and Information Systems.
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.