Chris Ding

25.2k total citations · 9 hit papers
241 papers, 16.9k citations indexed

About

Chris Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chris Ding has authored 241 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Artificial Intelligence, 119 papers in Computer Vision and Pattern Recognition and 44 papers in Molecular Biology. Recurrent topics in Chris Ding's work include Face and Expression Recognition (78 papers), Sparse and Compressive Sensing Techniques (31 papers) and Complex Network Analysis Techniques (27 papers). Chris Ding is often cited by papers focused on Face and Expression Recognition (78 papers), Sparse and Compressive Sensing Techniques (31 papers) and Complex Network Analysis Techniques (27 papers). Chris Ding collaborates with scholars based in United States, China and Singapore. Chris Ding's co-authors include Heng Huang, Feiping Nie, Xiaofeng He, Tao Li, Horst D. Simon, Xiaofeng He, Xiao Cai, Hongyuan Zha, Haesun Park and Tao Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chris Ding

232 papers receiving 16.2k citations

Hit Papers

MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE... 2001 2026 2009 2017 2005 2010 2008 2004 2006 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA
    2005 2.0k citations Chris Ding et al. profile →
  2. Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
    2010 1.3k citations Feiping Nie, Heng Huang et al. Neural Information Processing Systems profile →
  3. Convex and Semi-Nonnegative Matrix Factorizations
    2008 920 citations Chris Ding et al. profile →
  4. K-means clustering via principal component analysis
    2004 909 citations Chris Ding et al. profile →
  5. Orthogonal nonnegative matrix t-factorizations for clustering
    2006 848 citations Chris Ding, Tao Li et al. profile →
  6. On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering
    2005 663 citations Chris Ding, Xiaofeng He et al. profile →
  7. Multi-class protein fold recognition using support vector machines and neural networks
    2001 612 citations Chris Ding et al. profile →
  8. A min-max cut algorithm for graph partitioning and data clustering
    2002 528 citations Chris Ding, Hongyuan Zha et al. profile →
  9. Tensorized Bipartite Graph Learning for Multi-View Clustering
    2022 194 citations Chris Ding et al. profile →

Peers

Chris Ding
Alexander J. Smola United States
Sam T. Roweis Canada
Daniel D. Lee United States
Inderjit S. Dhillon United States
Lawrence K. Saul United States
Heng Huang United States
Xiaofei He China
Zoubin Ghahramani United Kingdom
Eric P. Xing United States
Max Welling United States
Alexander J. Smola United States
Chris Ding
Citations per year, relative to Chris Ding Chris Ding (= 1×) peers Alexander J. Smola

Countries citing papers authored by Chris Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chris Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Ding. A scholar is included among the top collaborators of Chris Ding 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 Chris Ding. Chris Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Tong, et al.. (2025). Contrastive independent subspace analysis network for multi-view spatial information extraction. Neural Networks. 185. 107105–107105. 1 indexed citations
2.
He, Chenggang & Chris Ding. (2025). SecRASP: Next generation web application security protection methodology and framework. Computers & Security. 154. 104445–104445.
3.
4.
Chen, Si-Bao, et al.. (2023). Non-linear Feature Selection Based on Convolution Neural Networks with Sparse Regularization. Cognitive Computation. 16(2). 654–670. 2 indexed citations
5.
Chen, Si-Bao, et al.. (2023). Fine-Grained Truck Re-identification: A Challenge. Cognitive Computation. 15(6). 1947–1960.
6.
Ding, Chris, et al.. (2022). Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. IEEE Transactions on Medical Imaging. 42(5). 1388–1400. 10 indexed citations
7.
He, Chenggang, Chris Ding, Si-Bao Chen, & Bin Luo. (2021). Intelligent Machine Learning System for Predicting Customer Churn. 522–527. 3 indexed citations
8.
Liu, Yun, Rui Zhang, Feiping Nie, Xuelong Li, & Chris Ding. (2019). Supervised Dimensionality Reduction Methods via Recursive Regression. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3269–3279. 15 indexed citations
9.
Jiang, Bo & Chris Ding. (2017). Outlier Regularization for Vector Data and L21 Norm Robustness.. arXiv (Cornell University). 1 indexed citations
10.
Kong, Deguang & Chris Ding. (2014). Non-convex feature learning via l p, ∞ operator. National Conference on Artificial Intelligence. 1918–1924. 2 indexed citations
11.
Kong, Deguang, Ryohei Fujimaki, Ji Liu, Feiping Nie, & Chris Ding. (2014). Exclusive Feature Learning on Arbitrary Structures via ell_1,2-norm. Neural Information Processing Systems. 27. 1655–1663. 45 indexed citations
12.
Ding, Chris. (2011). A Maximum Margin Multi-Instance Learning Framework for Image Categorization. Neural Information Processing Systems. 1 indexed citations
13.
Sun, Dengdi, Chris Ding, Bin Luo, & Jin Tang. (2011). Angular decomposition. International Joint Conference on Artificial Intelligence. 1505–1510. 1 indexed citations
14.
Nie, Feiping, Heng Huang, Xiao Cai, & Chris Ding. (2010). Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization. Neural Information Processing Systems. 23. 1813–1821. 1273 indexed citations breakdown →
15.
Ding, Chris, Tao Li, Wei Peng, & Haesun Park. (2006). Orthogonal nonnegative matrix t-factorizations for clustering. 126–135. 848 indexed citations breakdown →
16.
Ding, Chris, Xiaofeng He, Horst D. Simon, & Rong Jin. (2005). On the Equivalence of Nonnegative Matrix Factorization and K-means - Spectral Clustering. University of North Texas Digital Library (University of North Texas). 46 indexed citations
17.
Ding, Chris & Xiaofeng He. (2004). Principal Component Analysis and Effective K-Means Clustering.. 497–501. 20 indexed citations
18.
Ding, Chris, et al.. (2004). Contraction graphs for representation and analysis of RNA secondary structure. 716–717. 1 indexed citations
19.
Husbands, Parry, Horst D. Simon, & Chris Ding. (2001). On the use of the singular value decomposition for text retrieval. eScholarship (California Digital Library). 145–156. 64 indexed citations
20.
Ding, Chris, Hongyuan Zha, Xiaofeng He, Parry Husbands, & Horst D. Simon. (2001). Analysis of hubs and authorities on the web. eScholarship (California Digital Library). 6 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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