Ding Zhou
Impact in
- Computational Mathematics top 5%
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 3
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- Neural Networks and Applications 2
- Co-authors
- Hongyuan Zha (6 shared papers)Chris Ding (1 shared paper)Xiaofeng He (1 shared paper)C. Lee Giles (5 shared papers)Felipe Cucker (2 shared papers)Jia Li (1 shared paper)Eren Manavoglu (1 shared paper)Şeyda Ertekin (1 shared paper)
- Journals
- Machine Learning (1 paper)Cell Reports (1 paper)OpenMETU (Middle East Technical University) (1 paper)Cambridge University Press eBooks (2 papers)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
Ding Zhou
13 papers receiving 1.1k citations
Ding Zhou's Hit Papers
Peers
Comparison fields: 5 of 105
- Computational Mathematics 19
- Statistical and Nonlinear Physics 355
- Computer Vision and Pattern Recognition 377
- Artificial Intelligence 482
- Signal Processing 149
Countries citing papers authored by Ding Zhou
This map shows the geographic impact of Ding Zhou'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 Ding Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Zhou more than expected).
Fields of papers citing papers by Ding Zhou
This network shows the impact of papers produced by Ding Zhou. 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 Ding Zhou. The network helps show where Ding Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding Zhou, 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 | R1-PCA Hit paper breakdown → | 2006 | 505 |
| 2 | 2007 | 185 | |
| 3 | 2006 | 182 | |
| 4 | 2007 | 79 | |
| 5 | 2006 | 71 | |
| 6 | 2007 | 55 | |
| 7 | 2021 | 26 | |
| 8 | 2007 | 15 | |
| 9 | 2005 | 7 | |
| 10 | 2021 | 3 | |
| 11 | Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE | 2020 | 1 |
| 12 | A zero-inflated gamma model for post-deconvolved calcium imaging traces | 2020 | 1 |
| 13 | 2021 | 1 | |
| 14 | 2007 | 0 |
About Ding Zhou
Ding Zhou is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Management Science and Operations Research, Cognitive Neuroscience and Transportation, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (5 papers), Neural dynamics and brain function (3 papers), Human Mobility and Location-Based Analysis (3 papers), Opinion Dynamics and Social Influence (3 papers), Neural Networks and Applications (2 papers), Spam and Phishing Detection (1 paper), Web Data Mining and Analysis (1 paper) and Game Theory and Applications (1 paper). The work is most often cited by research in Computational Mathematics (19 citations), Statistical and Nonlinear Physics (355 citations), Computer Vision and Pattern Recognition (377 citations), Artificial Intelligence (482 citations) and Signal Processing (149 citations). Ding Zhou has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Hongyuan Zha, Chris Ding, Xiaofeng He, C. Lee Giles, Felipe Cucker, Jia Li, Eren Manavoglu, Şeyda Ertekin, Urs L. Böhm and Márton Rózsa. Their work appears in journals such as Machine Learning, Cell Reports, OpenMETU (Middle East Technical University), Cambridge University Press eBooks and Neural Information Processing 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.