Anyue Chen

1.2k citations
66 papers · 926 · h-index 18

Impact in

Papers in

Anyue Chen

61 papers receiving 897 citations

Peers

Anyue Chen
Comparison fields: 5 of 89
  • Mathematical Physics 344
  • Statistics and Probability 289
  • Management Information Systems 324
  • Management Science and Operations Research 326
  • Cancer Research 120
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Joshua Chover United States
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В. В. Калашников Russia
Mark Brown United States
Hermann Þórisson Iceland
P.-C. G. Vassiliou Greece
F. Thomas Bruss Belgium
Teturo Kamae Japan
G. L. O’Brien Canada
Dmitry Korshunov Russia
Anyue Chen relative to Joshua Chover United States Joshua Chover's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anyue Chen

Since Specialization
Citations

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

Fields of papers citing papers by Anyue Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019152
2 199777
3 201075
4 201043
5 200231
6 199528
7 201027
8 199326
9 200424
10 200622
11 199322
12 202021
13 200221
14 199419
15 200519
16 200219
17 200019
18 199717
19 200116
20 200514

About Anyue Chen

Anyue Chen is a scholar working on Mathematical Physics, Management Information Systems, Statistics and Probability, Management Science and Operations Research and Molecular Biology, having authored 66 papers that have together received 926 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (39 papers), Advanced Queuing Theory Analysis (33 papers), Markov Chains and Monte Carlo Methods (23 papers), Probability and Risk Models (23 papers), Random Matrices and Applications (9 papers), Reliability and Maintenance Optimization (7 papers), Diffusion and Search Dynamics (6 papers) and Stochastic processes and financial applications (5 papers). The work is most often cited by research in Mathematical Physics (344 citations), Statistics and Probability (289 citations), Management Information Systems (324 citations), Management Science and Operations Research (326 citations) and Cancer Research (120 citations). Anyue Chen has collaborated with scholars based in United Kingdom, China and Hong Kong. Frequent co-authors include Eric Renshaw, Yiqing Chen, Kai Wang Ng, Hanjun Zhang, Junping Li, Hongbin Wang, Lin Li, Hong Wei, Jingsong Wang and P. K. Pollett. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, Queueing Systems, Journal of Mathematical Analysis and Applications and Stochastic Processes and their Applications.

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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