Yuren Zhou

5.3k total citations · 3 hit papers
123 papers, 3.9k citations indexed

About

Yuren Zhou is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Yuren Zhou has authored 123 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Artificial Intelligence, 62 papers in Computational Theory and Mathematics and 21 papers in Management Science and Operations Research. Recurrent topics in Yuren Zhou's work include Metaheuristic Optimization Algorithms Research (62 papers), Advanced Multi-Objective Optimization Algorithms (56 papers) and Evolutionary Algorithms and Applications (32 papers). Yuren Zhou is often cited by papers focused on Metaheuristic Optimization Algorithms Research (62 papers), Advanced Multi-Objective Optimization Algorithms (56 papers) and Evolutionary Algorithms and Applications (32 papers). Yuren Zhou collaborates with scholars based in China, United Kingdom and Singapore. Yuren Zhou's co-authors include Zibin Zheng, Yi Xiang, Xiaoyu He, Zefeng Chen, Hong‐Ning Dai, Yatao Yang, Miqing Li, Weili Chen, Zefeng Chen and Jun Zhang and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yuren Zhou

117 papers receiving 3.8k citations

Hit Papers

Wide and Deep Convolution... 2016 2026 2019 2022 2017 2016 2018 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids
    2017 558 citations Yuren Zhou et al. profile →
  2. A Vector Angle-Based Evolutionary Algorithm for Unconstrained Many-Objective Optimization
    2016 333 citations Yi Xiang, Yuren Zhou et al. IEEE Transactions on Evolutionary Computation profile →
  3. Detecting Ponzi Schemes on Ethereum
    2018 232 citations Yuren Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuren Zhou China 31 2.3k 1.5k 648 646 457 123 3.9k
Bilal Alataş Türkiye 30 2.5k 1.1× 946 0.6× 386 0.6× 702 1.1× 391 0.9× 106 4.0k
Ali Wagdy Mohamed Egypt 31 2.8k 1.2× 1.4k 0.9× 689 1.1× 183 0.3× 451 1.0× 193 4.4k
Jiahai Wang China 31 2.6k 1.1× 1.4k 0.9× 405 0.6× 219 0.3× 350 0.8× 138 4.1k
Jiujun Cheng China 32 1.9k 0.8× 594 0.4× 940 1.5× 592 0.9× 380 0.8× 95 3.8k
Xingjuan Cai China 32 2.0k 0.9× 749 0.5× 630 1.0× 1.3k 2.0× 389 0.9× 130 4.8k
Jesús Alcalá‐Fdez Spain 27 4.3k 1.9× 1.1k 0.7× 532 0.8× 1.0k 1.6× 328 0.7× 72 5.4k
Ahamad Tajudin Khader Malaysia 25 1.7k 0.8× 544 0.4× 345 0.5× 334 0.5× 267 0.6× 66 3.0k
Daryl Essam Australia 42 2.3k 1.0× 1.3k 0.9× 256 0.4× 237 0.4× 406 0.9× 197 4.8k
Matej Črepinšek Slovenia 21 1.6k 0.7× 854 0.6× 211 0.3× 294 0.5× 201 0.4× 45 2.5k
Miqing Li United Kingdom 31 3.6k 1.6× 3.8k 2.5× 204 0.3× 771 1.2× 367 0.8× 105 5.5k

Countries citing papers authored by Yuren Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Yuren Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuren Zhou

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

All Works

20 of 20 papers shown
1.
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Yan, Zeyuan, et al.. (2024). A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization. Swarm and Evolutionary Computation. 91. 101729–101729. 3 indexed citations
3.
Yan, Zeyuan, et al.. (2024). High-dimensional expensive optimization by Kriging-assisted multiobjective evolutionary algorithm with dimensionality reduction. Information Sciences. 691. 121620–121620. 1 indexed citations
4.
Yan, Z., et al.. (2024). Multiple surrogates-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization with adaptive diffusion map. Expert Systems with Applications. 266. 126103–126103. 3 indexed citations
5.
Chen, Jiankang, et al.. (2024). Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 19858–19866. 1 indexed citations
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Zhou, Yuren, et al.. (2023). Runtime analysis of some hybrid algorithms. Neural Computing and Applications. 35(19). 14153–14167. 1 indexed citations
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Zhou, Yuren, Yi Xiang, & Xiaoyu He. (2020). Constrained Multiobjective Optimization: Test Problem Construction and Performance Evaluations. IEEE Transactions on Evolutionary Computation. 25(1). 172–186. 55 indexed citations
10.
Huang, Zhengxin, et al.. (2019). Improve Theoretical Upper Bound of Jumpk Function by Evolutionary Multitasking. 31. 44–50. 8 indexed citations
11.
Zhou, Yuren, Xiaoyu He, Yi Xiang, & Shaowei Cai. (2019). A set of new multi- and many-objective test problems for continuous optimization and a comprehensive experimental evaluation. Artificial Intelligence. 276. 105–129. 2 indexed citations
12.
Li, Chris Junchi, et al.. (2018). Policy Optimization via Stochastic Recursive Gradient Algorithm. 2 indexed citations
13.
Xia, Xiaoyun & Yuren Zhou. (2018). Performance Analysis of ACO on the Quadratic Assignment Problem. Chinese Journal of Electronics. 27(1). 26–34. 16 indexed citations
14.
Wilhelm, Erik, Don MacKenzie, Yuren Zhou, Lynette Cheah, & Nils Ole Tippenhauer. (2017). Evaluation of Transport Mode Using Wearable Sensor Data from Thousands of Students. Transportation Research Board 96th Annual MeetingTransportation Research Board. 5 indexed citations
15.
Xia, Xiaoyun & Yuren Zhou. (2017). On the effectiveness of immune inspired mutation operators in some discrete optimization problems. Information Sciences. 426. 87–100. 17 indexed citations
16.
Xiang, Yi & Yuren Zhou. (2015). A dynamic multi-colony artificial bee colony algorithm for multi-objective optimization. Applied Soft Computing. 35. 766–785. 36 indexed citations
17.
Nie, Wenfeng, et al.. (2012). Biopharmaceutical portfolio management optimization under uncertainty. UCL Discovery (University College London). 1 indexed citations
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19.
Zhou, Yuren, Jun He, & Qing Nie. (2008). A comparative runtime analysis of heuristic algorithms for satisfiability problems. Artificial Intelligence. 173(2). 240–257. 22 indexed citations
20.
Zhou, Yuren. (2005). An Optimised Evolutionary Algorithms for Nonparameter Penalty Function. Jisuanji gongcheng. 3 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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