Enlu Zhou

1.2k citations
88 papers · 610 · h-index 13

Impact in

Papers in

Enlu Zhou

78 papers receiving 590 citations

Peers

Enlu Zhou
Comparison fields: 5 of 86
  • Management Science and Operations Research 318
  • Statistics, Probability and Uncertainty 87
  • Computational Theory and Mathematics 140
  • Software 33
  • Statistics and Probability 51
Replace Jiaqiao Hu with:
Jiaqiao Hu United States
Arnab Nilim United States
Felisa J. Vázquez-Abad Canada
Hyeong Soo Chang South Korea
Daniel Berleant United States
Альберт Николаевич Ширяев France
Paul J. Sánchez United States
Dinghua Shi China
Oliver C. Ibe United States
Frederick Wieland United States
Enlu Zhou relative to Jiaqiao Hu United States Jiaqiao Hu's profile →
Citations per field
00.5×1.5×2.1×
Jiaqiao Hu · 1×
Citations per year

Countries citing papers authored by Enlu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Enlu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201053
2 201748
3 201432
4 201227
5 201823
6 201222
7 201721
8 201519
9 200818
10 201513
11 200812
12 201312
13 201712
14 201811
15 201311
16 202210
17 201510
18 201910
19 201210
20 202310

About Enlu Zhou

Enlu Zhou is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Statistics and Probability, having authored 88 papers that have together received 610 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (29 papers), Advanced Multi-Objective Optimization Algorithms (19 papers), Risk and Portfolio Optimization (15 papers), Metaheuristic Optimization Algorithms Research (10 papers), Stochastic processes and financial applications (9 papers), Advanced Bandit Algorithms Research (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Distributed Sensor Networks and Detection Algorithms (7 papers). The work is most often cited by research in Management Science and Operations Research (318 citations), Statistics, Probability and Uncertainty (87 citations), Computational Theory and Mathematics (140 citations), Software (33 citations) and Statistics and Probability (51 citations). Enlu Zhou has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Michael C. Fu, Steven I. Marcus, Jiaqiao Hu, Henry Lam, Di Wu, Helin Zhu, Siyang Gao, Wei Xie, Chun‐Hung Chen and Hui Xiao. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Global Optimization, INFORMS journal on computing, SIAM Journal on Optimization and Operations Research.

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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