Ray‐Bing Chen

93 papers receiving 931 citations

Peers

Ray‐Bing Chen
Comparison fields: 5 of 127
  • Management Science and Operations Research 257
  • Computational Theory and Mathematics 319
  • Statistics, Probability and Uncertainty 116
  • Statistics and Probability 121
  • Health Informatics 10
Replace Mickaël Binois with:
Mickaël Binois France
Dawei Tang China
Jianqiao Chen China
Ran Jin United States
Dibyendu Roy India
Tadeusz Burczyński Poland
Paul D. Arendt United States
S. M. Taheri Iran
Hong Qian China
Ray‐Bing Chen relative to Mickaël Binois France Mickaël Binois's profile →
Citations per field
00.5×5×11.4×
Mickaël Binois · 1×
Citations per year

Countries citing papers authored by Ray‐Bing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ray‐Bing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray‐Bing Chen. 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 Ray‐Bing Chen. The network helps show where Ray‐Bing Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Ray‐Bing Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ray‐Bing Chen Line = papers co-authored together Ray‐Bing Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201461
3 201754
4 201052
5 201537
6 201534
7 201433
8 201532
9 200926
10 202226
11 201325
12 202225
13 201825
14 201724
15 200619
16 200919
17 202017
18 202216
19 202314
20 202313

About Ray‐Bing Chen

Ray‐Bing Chen is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 100 papers that have together received 959 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (28 papers), Optimal Experimental Design Methods (20 papers), Statistical Methods and Inference (12 papers), Bayesian Methods and Mixture Models (11 papers), Probabilistic and Robust Engineering Design (10 papers), Metaheuristic Optimization Algorithms Research (9 papers), Statistical Methods and Bayesian Inference (8 papers) and Blind Source Separation Techniques (7 papers). The work is most often cited by research in Management Science and Operations Research (257 citations), Computational Theory and Mathematics (319 citations), Statistics, Probability and Uncertainty (116 citations), Statistics and Probability (121 citations) and Health Informatics (10 citations). Ray‐Bing Chen has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Weichung Wang, Weng Kee Wong, Chi‐Hsiang Chu, Ying Hung, Ying Wu, Yu–Hsun Nien, Wen-Fan Liang, Ruey‐Bin Yang, Jih‐Jen Wu and Kuo‐Jung Lee. Their work appears in journals such as Computational Statistics & Data Analysis, Statistics and Computing, Frontiers in Pediatrics, Technometrics and Nutrients.

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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