Ching‐Shui Cheng

91 total papers · 2.6k total citations
70 papers, 1.8k citations indexed

About

Ching‐Shui Cheng is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ching‐Shui Cheng has authored 70 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Management Science and Operations Research, 27 papers in Electrical and Electronic Engineering and 23 papers in Computational Theory and Mathematics. Recurrent topics in Ching‐Shui Cheng's work include Optimal Experimental Design Methods (62 papers), graph theory and CDMA systems (27 papers) and Advanced Multi-Objective Optimization Algorithms (22 papers). Ching‐Shui Cheng is often cited by papers focused on Optimal Experimental Design Methods (62 papers), graph theory and CDMA systems (27 papers) and Advanced Multi-Objective Optimization Algorithms (22 papers). Ching‐Shui Cheng collaborates with scholars based in United States, Taiwan and Canada. Ching‐Shui Cheng's co-authors include Chien-Fu Wu, Boxin Tang, David M. Steinberg, Hegang Chen, Don X. Sun, Rahul Mukerjee, Mike Jacroux, Jerzy Neyman, Jack Carl Kiefer and Lucien M. Le Cam and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

Ching‐Shui Cheng

67 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ching‐Shui Cheng 1.5k 814 584 378 374 70 1.8k
J. N. Srivastava 1.1k 0.7× 384 0.5× 443 0.8× 460 1.2× 202 0.5× 61 1.5k
Robert E. Bechhofer 1.3k 0.9× 212 0.3× 1.1k 1.9× 37 0.1× 119 0.3× 65 2.1k
Yiqiang Q. Zhao 490 0.3× 130 0.2× 391 0.7× 242 0.6× 55 0.1× 131 1.4k
Gianfranco Ciardo 187 0.1× 1.1k 1.3× 22 0.0× 203 0.5× 90 0.2× 102 2.1k
Jeffrey P. Buzen 384 0.3× 249 0.3× 53 0.1× 239 0.6× 177 0.5× 52 1.5k
J. Scott Provan 108 0.1× 615 0.8× 94 0.2× 247 0.7× 58 0.2× 45 1.5k
Isi Mitrani 490 0.3× 253 0.3× 103 0.2× 428 1.1× 244 0.7× 118 1.9k
Jean-Pierre Quadrat 173 0.1× 1.1k 1.3× 28 0.0× 100 0.3× 284 0.8× 43 1.6k
Komei Fukuda 86 0.1× 753 0.9× 48 0.1× 169 0.4× 132 0.4× 63 1.7k
J.F. Baldwin 874 0.6× 613 0.8× 315 0.5× 22 0.1× 12 0.0× 74 1.8k

Countries citing papers authored by Ching‐Shui Cheng

Since Specialization
Citations

This map shows the geographic impact of Ching‐Shui Cheng'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 Ching‐Shui Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Shui Cheng more than expected).

Fields of papers citing papers by Ching‐Shui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Shui Cheng. 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 Ching‐Shui Cheng. The network helps show where Ching‐Shui Cheng may publish in the future.

Co-authorship network of co-authors of Ching‐Shui Cheng

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

All Works

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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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2026