Enlu Zhou

1.2k total citations
88 papers, 610 citations indexed

About

Enlu Zhou is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Enlu Zhou has authored 88 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Management Science and Operations Research, 32 papers in Artificial Intelligence and 19 papers in Computational Theory and Mathematics. Recurrent topics in Enlu Zhou's work include Simulation Techniques and Applications (29 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Risk and Portfolio Optimization (15 papers). Enlu Zhou is often cited by papers focused on Simulation Techniques and Applications (29 papers), Advanced Multi-Objective Optimization Algorithms (19 papers) and Risk and Portfolio Optimization (15 papers). Enlu Zhou collaborates with scholars based in United States, Hong Kong and China. Enlu Zhou's co-authors include Steven I. Marcus, Michael C. Fu, Jiaqiao Hu, Henry Lam, Di Wu, Helin Zhu, Siyang Gao, Wei Xie, Chun‐Hung Chen and Hui Xiao and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Enlu Zhou

78 papers receiving 590 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Enlu Zhou United States	13	318	140	140	87	83	88	610
Jiaqiao Hu United States	12	338 1.1×	369 2.6×	230 1.6×	43 0.5×	105 1.3×	66	745
Arnab Nilim United States	8	177 0.6×	204 1.5×	74 0.5×	40 0.5×	112 1.3×	12	530
Radim Jiroušek Czechia	10	220 0.7×	464 3.3×	110 0.8×	24 0.3×	62 0.7×	37	767
Paul J. Sánchez United States	12	255 0.8×	36 0.3×	87 0.6×	28 0.3×	49 0.6×	29	401
S.P. Sharma India	17	254 0.8×	108 0.8×	73 0.5×	264 3.0×	240 2.9×	41	1.1k
Daniel Berleant United States	14	127 0.4×	500 3.6×	163 1.2×	155 1.8×	101 1.2×	78	982
Felisa J. Vázquez-Abad Canada	14	173 0.5×	58 0.4×	55 0.4×	30 0.3×	46 0.6×	57	449
Альберт Николаевич Ширяев France	8	193 0.6×	82 0.6×	50 0.4×	226 2.6×	91 1.1×	29	845
Hyeong Soo Chang South Korea	14	226 0.7×	402 2.9×	140 1.0×	12 0.1×	112 1.3×	57	770
Khaled Mellouli Tunisia	15	252 0.8×	511 3.6×	168 1.2×	36 0.4×	46 0.6×	41	724

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-authorship network of co-authors of Enlu Zhou

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

All Works

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20 of 20 papers shown

Wang, Yuhao, et al.. (2025). Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. Operations Research. 73(6). 3010–3026. 1 indexed citations

Ryzhov, Ilya O., et al.. (2025). Simulation Optimization and Stochastic Gradients: Theory & Practice. 1–15.

Zhou, Enlu, Yu Yang, Jie Yu, et al.. (2024). Application of high-dimensional multi-objective differential evolutionary algorithm based on global ordering to heat supply pipe network resistance identification. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería. 40(2). 1 indexed citations

Zhou, Enlu, et al.. (2024). Optimal Computing Budget Allocation for Data-Driven Ranking and Selection. RePEc: Research Papers in Economics. 7(1). 1–19. 1 indexed citations

Gao, Siyang, et al.. (2023). Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation. ACM Transactions on Modeling and Computer Simulation. 34(2). 1–24. 2 indexed citations

Wu, Di, et al.. (2022). Data-Driven Ranking and Selection Under Input Uncertainty. Operations Research. 72(2). 781–795. 10 indexed citations

Zhou, Enlu, et al.. (2018). Online quantification of input uncertainty for parametric models. Winter Simulation Conference. 1587–1598. 3 indexed citations

Wu, Di & Enlu Zhou. (2018). Provably improving the optimal computing budget allocation algorithm. Winter Simulation Conference. 1921–1932. 1 indexed citations

Zhou, Enlu, et al.. (2018). Accurately tracking single-cell movement trajectories in microfluidic cell sorting devices. PLoS ONE. 13(2). e0192463–e0192463. 11 indexed citations

10.

Wu, Di & Enlu Zhou. (2017). Ranking and selection under input uncertainty: a budget allocation formulation. Winter Simulation Conference. 2245–2256. 1 indexed citations

11.

Gao, Siyang, Hui Xiao, Enlu Zhou, & Weiwei Chen. (2016). Optimal computing budget allocation with input uncertainty. Winter Simulation Conference. 839–846. 5 indexed citations

12.

Zhou, Enlu & Wei Xie. (2015). Simulation optimization when facing input uncertainty. Winter Simulation Conference. 3714–3724. 13 indexed citations

13.

Lam, Henry & Enlu Zhou. (2015). Quantifying uncertainty in sample average approximation. Winter Simulation Conference. 3846–3857. 10 indexed citations

14.

Zhou, Enlu, et al.. (2015). A model-based approach to multi-objective optimization. Winter Simulation Conference. 3599–3609. 1 indexed citations

15.

Yi, Yuan, Wei Xie, & Enlu Zhou. (2015). A sequential experiment design for input uncertainty quantification in stochastic simulation. Winter Simulation Conference. 447–458. 2 indexed citations

16.

Zhou, Enlu, Shalabh Bhatnagar, & Xi Chen. (2014). Simulation optimization via gradient-based stochastic search. Winter Simulation Conference. 3869–3879. 2 indexed citations

17.

Rhee, Chang-Han, Enlu Zhou, & Peng Qiu. (2014). An iterative algorithm for sampling from manifolds. Winter Simulation Conference. 574–585. 1 indexed citations

18.

Zhu, Helin, et al.. (2013). True martingales for upper bounds on Bermudan option prices under jump-diffusion processes. Winter Simulation Conference. 113–124.

19.

Zhou, Enlu, et al.. (2011). Pricing American options under partial observation of stochastic volatility. Winter Simulation Conference. 3760–3771. 1 indexed citations

20.

Zhou, Enlu, Kun‐Wei Lin, Michael C. Fu, & Steven I. Marcus. (2009). A numerical method for financial decision problems under stochastic volatility. Winter Simulation Conference. 1299–1310. 1 indexed citations

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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