Yuan Zhou

2.1k citations
89 papers · 868 · h-index 18

Impact in

Papers in

Yuan Zhou

77 papers receiving 833 citations

Peers

Yuan Zhou
Comparison fields: 5 of 113
  • Computer Graphics and Computer-Aided Design 117
  • Management Information Systems 146
  • Management Science and Operations Research 178
  • Computational Theory and Mathematics 151
  • Computer Networks and Communications 155
Replace Donald W. Hearn with:
Donald W. Hearn United States
Akiyoshi Shioura Japan
Romesh Saigal United States
Jörg Rambau Germany
James E. Ward United States
Dachuan Xu China
Simai He United States
Sebastian Pokutta United States
Jochen Könemann Canada
Levent Tunçel Canada
Yuan Zhou relative to Donald W. Hearn United States Donald W. Hearn's profile →
Citations per field
00.5×3.6×
Donald W. Hearn · 1×
Citations per year

Countries citing papers authored by Yuan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan 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 Yuan Zhou. The network helps show where Yuan Zhou may publish in the future.

Co-authors

The 25 scholars most cited alongside Yuan Zhou, 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 Yuan Zhou Line = papers co-authored together Yuan Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200586
2 201664
3 200448
4 201539
5 201234
6 202034
7 201433
8 200931
9 200626
10 201325
11 202125
12
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
201423
13 202123
14 201822
15 201022
16 201220
17 202018
18 201917
19 201016
20 201915

About Yuan Zhou

Yuan Zhou is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research, Artificial Intelligence and Management Information Systems, having authored 89 papers that have together received 868 indexed citations. Recurring topics across this work include Optimization and Search Problems (23 papers), Complexity and Algorithms in Graphs (19 papers), Advanced Bandit Algorithms Research (18 papers), Advanced Graph Theory Research (15 papers), Supply Chain and Inventory Management (13 papers), Advanced Queuing Theory Analysis (7 papers), Machine Learning and Algorithms (6 papers) and Auction Theory and Applications (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (117 citations), Management Information Systems (146 citations), Management Science and Operations Research (178 citations), Computational Theory and Mathematics (151 citations) and Computer Networks and Communications (155 citations). Yuan Zhou has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Michael Garland, Xi Chen, Ryan O’Donnell, Yining Wang, Jiawei Zhang, Shuquan Li, Xiuyu Wu, Venkatesan Guruswami, Yi Wu and Boxiao Chen. Their work appears in journals such as Operations Research, Journal of Nuclear Materials, Management Science, Production and Operations Management and Operations Research Letters.

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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