Chris Ding

1.3k total citations
13 papers, 671 citations indexed

About

Chris Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Chris Ding has authored 13 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Chris Ding's work include Complex Network Analysis Techniques (4 papers), Face and Expression Recognition (3 papers) and Advanced Clustering Algorithms Research (3 papers). Chris Ding is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Face and Expression Recognition (3 papers) and Advanced Clustering Algorithms Research (3 papers). Chris Ding collaborates with scholars based in United States and China. Chris Ding's co-authors include Michael I. Jordan, Jie Zhou, Quanquan Gu, Tao Li, Tao Li, Zhongyuan Zhang, Tao Li, Xiang‐Sun Zhang, Xiaofeng He and Bin Luo and has published in prestigious journals such as Scientific Reports, Pattern Recognition Letters and Journal of Computational Biology.

In The Last Decade

Chris Ding

12 papers receiving 634 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Ding United States	9	353	283	179	113	100	13	671
Xiongjie Zhu China	2	613 1.7×	305 1.1×	152 0.8×	127 1.1×	86 0.9×	4	941
Grigorios Tzortzis Greece	9	425 1.2×	386 1.4×	79 0.4×	66 0.6×	86 0.9×	11	717
Wen-Yen Chen United States	5	350 1.0×	287 1.0×	143 0.8×	144 1.3×	76 0.8×	8	626
Natthakan Iam-On Thailand	16	629 1.8×	336 1.2×	147 0.8×	153 1.4×	168 1.7×	51	966
Yasuhiro Fujiwara Japan	15	452 1.3×	248 0.9×	158 0.9×	238 2.1×	120 1.2×	45	690
Hong Peng China	15	255 0.7×	246 0.9×	59 0.3×	48 0.4×	74 0.7×	55	678
Dijun Luo United States	16	275 0.8×	213 0.8×	55 0.3×	62 0.5×	39 0.4×	36	754
Lide Wu China	19	703 2.0×	602 2.1×	146 0.8×	69 0.6×	171 1.7×	85	1.3k
Hongchang Gao United States	16	727 2.1×	587 2.1×	118 0.7×	225 2.0×	43 0.4×	29	1.2k

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

He, Chenggang & Chris Ding. (2024). A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model. Scientific Reports. 14(1). 20179–20179. 6 indexed citations

Jiang, Bo, Jin Tang, Chris Ding, & Bin Luo. (2017). Nonnegative Orthogonal Graph Matching. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 11 indexed citations

Wang, Hua, Heng Huang, & Chris Ding. (2015). Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency. Journal of Computational Biology. 22(6). 546–562. 6 indexed citations

Ding, Chris & Hongyuan Zha. (2014). Spectral Clustering, Ordering and Ranking: Statistical Learning with Matrix Factorizations.

Xu, Qin, Chris Ding, Jinpei Liu, & Bin Luo. (2014). PCA-guided search for K-means. Pattern Recognition Letters. 54. 50–55. 43 indexed citations

Zhang, Zhongyuan, Tao Li, & Chris Ding. (2012). Non-negative Tri-factor tensor decomposition with applications. Knowledge and Information Systems. 34(2). 243–265. 23 indexed citations

Gu, Quanquan, Jie Zhou, & Chris Ding. (2010). Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs. 199–210. 178 indexed citations

Ding, Chris, Tao Li, & Michael I. Jordan. (2008). Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding. 183–192. 102 indexed citations

Peng, Wei, Chris Ding, Tao Li, & Tong Sun. (2007). Finding Hotspots in Document Collection. 313–320. 2 indexed citations

10.

Zhang, Zhongyuan, Tao Li, Chris Ding, & Xiang‐Sun Zhang. (2007). Binary Matrix Factorization with Applications. 391–400. 89 indexed citations

11.

Li, Tao, Chris Ding, & Michael I. Jordan. (2007). Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization. 577–582. 155 indexed citations

12.

Ding, Chris & Xiaofeng He. (2004). Principal Component Analysis and Effective K-means Clustering. 497–501. 8 indexed citations

13.

Ding, Chris, Xiaofeng He, Hongyuan Zha, Ming Gu, & Horst D. Simon. (2001). Spectral min-max cut for graph partitioning and data clustering. Language Speech and Hearing Services in Schools. 54(4). 1308–1322. 48 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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