Ding Zhou

1.9k total citations
13 papers, 937 citations indexed

About

Ding Zhou is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Ding Zhou has authored 13 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 5 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Ding Zhou's work include Complex Network Analysis Techniques (5 papers), Neural dynamics and brain function (3 papers) and Opinion Dynamics and Social Influence (3 papers). Ding Zhou is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Neural dynamics and brain function (3 papers) and Opinion Dynamics and Social Influence (3 papers). Ding Zhou collaborates with scholars based in United States and China. Ding Zhou's co-authors include Hongyuan Zha, Xiaofeng He, Chris Ding, C. Lee Giles, Jia Li, Eren Manavoglu, Isaac G. Councill, Şeyda Ertekin, Michael E. Xie and Márton Rózsa and has published in prestigious journals such as Cell Reports, Machine Learning and Measurement Science and Technology.

In The Last Decade

Ding Zhou

13 papers receiving 896 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ding Zhou United States 7 395 333 298 192 183 13 937
Ding Zhou China 14 713 1.8× 330 1.0× 143 0.5× 336 1.8× 331 1.8× 30 1.4k
S. Vempala United States 10 531 1.3× 224 0.7× 127 0.4× 68 0.4× 125 0.7× 15 865
Santosh Vempala United States 8 452 1.1× 276 0.8× 247 0.8× 100 0.5× 134 0.7× 8 1.0k
Chris Ding United States 9 353 0.9× 283 0.8× 113 0.4× 179 0.9× 43 0.2× 13 671
Qiansheng Cheng China 18 442 1.1× 539 1.6× 56 0.2× 108 0.6× 46 0.3× 50 1.0k
Yuqiang Guan United States 8 1.1k 2.7× 806 2.4× 416 1.4× 177 0.9× 108 0.6× 9 1.8k
Wu Xiaoyun United States 12 889 2.3× 393 1.2× 166 0.6× 234 1.2× 41 0.2× 18 1.4k
Tibério S. Caetano Australia 18 540 1.4× 577 1.7× 69 0.2× 67 0.3× 55 0.3× 48 1.1k

Countries citing papers authored by Ding Zhou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ding Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Zhou. A scholar is included among the top collaborators of Ding Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ding Zhou. Ding Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Zhuang, G., et al.. (2025). A robust navigation algorithm without GNSS based on deep learning and variational Bayesian filter. Measurement Science and Technology. 36(3). 36310–36310. 1 indexed citations
2.
Xie, Michael E., Yoav Adam, Linlin Z. Fan, et al.. (2021). High-fidelity estimates of spikes and subthreshold waveforms from 1-photon voltage imaging in vivo. Cell Reports. 35(1). 108954–108954. 24 indexed citations
3.
Chen, Tianwen, et al.. (2021). Lessons on off-policy methods from a notification component of a chatbot. Machine Learning. 110(9). 2577–2602. 1 indexed citations
4.
Zhang, Le, et al.. (2021). Urban Crowd Density Prediction Based on Multi-relational Graph. 29. 39–48. 3 indexed citations
5.
Wei, Xue-Xin, Ding Zhou, Andres Grosmark, et al.. (2020). A zero-inflated gamma model for post-deconvolved calcium imaging traces. 3(2). 1–21. 1 indexed citations
6.
Zhou, Ding & Xue-Xin Wei. (2020). Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE. Neural Information Processing Systems. 33. 7234–7247. 1 indexed citations
7.
Zhou, Ding, et al.. (2007). Co-ranking Authors and Documents in a Heterogeneous Network. 739–744. 165 indexed citations
8.
Zhou, Ding, Isaac G. Councill, Hongyuan Zha, & C. Lee Giles. (2007). Discovering Temporal Communities from Social Network Documents. 745–750. 41 indexed citations
9.
Ertekin, Şeyda, et al.. (2007). K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets. OpenMETU (Middle East Technical University). 6. 198–204. 12 indexed citations
10.
Ding, Chris, Ding Zhou, Xiaofeng He, & Hongyuan Zha. (2006). R1-PCA. 281–288. 472 indexed citations
11.
Zhou, Ding, et al.. (2006). Topic evolution and social interactions. 248–248. 60 indexed citations
12.
Zhou, Ding, Eren Manavoglu, Jia Li, C. Lee Giles, & Hongyuan Zha. (2006). Probabilistic models for discovering e-communities. 173–182. 151 indexed citations
13.
Zhou, Ding, Yang Song, Hongyuan Zha, & Ya Zhang. (2005). Towards discovering organizational structure from email corpus. 6 pp.–6 pp.. 5 indexed citations

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.

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Breakdown of academic impact, for papers by Ding Zhou Breakdown of academic impact, for papers by S. Vempala Breakdown of academic impact, for papers by Santosh Vempala Breakdown of academic impact, for papers by Chris Ding Breakdown of academic impact, for papers by Qiansheng Cheng Breakdown of academic impact, for papers by Yuqiang Guan Breakdown of academic impact, for papers by Wu Xiaoyun Breakdown of academic impact, for papers by Tibério S. Caetano
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2026