Zhenyu Lu

2.3k total citations
120 papers, 1.7k citations indexed

About

Zhenyu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Zhenyu Lu has authored 120 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Zhenyu Lu's work include Metaheuristic Optimization Algorithms Research (26 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). Zhenyu Lu is often cited by papers focused on Metaheuristic Optimization Algorithms Research (26 papers), Evolutionary Algorithms and Applications (13 papers) and Advanced Multi-Objective Optimization Algorithms (13 papers). Zhenyu Lu collaborates with scholars based in China, South Korea and Taiwan. Zhenyu Lu's co-authors include Qiang Yang, Xudong Gao, Jun Zhang, Gongke Li, Runkun Zhang, Yufei Hu, Sang-Woon Jeon, Dongdong Xu, Mindong Chen and Junhao Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Zhenyu Lu

104 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenyu Lu China 24 549 272 234 234 216 120 1.7k
M. Srinivas India 17 641 1.2× 425 1.6× 270 1.2× 143 0.6× 237 1.1× 76 2.5k
Gang Xie China 25 528 1.0× 329 1.2× 78 0.3× 98 0.4× 223 1.0× 181 2.1k
Lihong Guo China 27 1.2k 2.1× 376 1.4× 524 2.2× 514 2.2× 382 1.8× 83 2.7k
Jiquan Wang China 21 309 0.6× 246 0.9× 109 0.5× 257 1.1× 125 0.6× 84 1.6k
Xiaoting Wang China 26 936 1.7× 260 1.0× 124 0.5× 276 1.2× 111 0.5× 106 2.4k
Jia Zhao China 18 723 1.3× 194 0.7× 319 1.4× 74 0.3× 255 1.2× 120 1.6k
Kewei Cheng United States 16 1.3k 2.4× 234 0.9× 148 0.6× 143 0.6× 451 2.1× 31 2.5k
Zhiqiang Zeng China 24 427 0.8× 312 1.1× 116 0.5× 261 1.1× 484 2.2× 113 1.7k
Xinyu Zhou China 24 806 1.5× 473 1.7× 346 1.5× 176 0.8× 234 1.1× 106 2.0k

Countries citing papers authored by Zhenyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Lu. A scholar is included among the top collaborators of Zhenyu Lu 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 Zhenyu Lu. Zhenyu Lu 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.
Meng, Xiancai, et al.. (2025). Autonomous Unmanned Systems Test Platform for Complex Water Environments. 5(3). 439–443.
2.
Yang, Qiang, Jian-Yu Li, Hong Zhao, et al.. (2025). Tuple leading differential evolution for black-box optimization. Expert Systems with Applications. 287. 128158–128158. 1 indexed citations
3.
Zheng, Zhihong, et al.. (2025). Kalman Filtering and LSTM-Based Fault Diagnosis and Localization Method for Low-Voltage Distribution Substations. Journal of Circuits Systems and Computers. 34(14).
4.
Yang, Qiang, Jian-Yu Li, Peilan Xu, et al.. (2025). A probabilistic tournament learning swarm optimizer for large-scale optimization. Information Sciences. 714. 122189–122189.
5.
Zhao, Zhongyuan, et al.. (2024). Cubature particle filtering fusion with descent gradient and maximum correntropy for non-Gaussian noise. Neurocomputing. 592. 127634–127634. 4 indexed citations
6.
Rong, Huan, et al.. (2024). Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(5). 1–29. 1 indexed citations
7.
Wang, Hui, Qiang Yang, Xudong Gao, & Zhenyu Lu. (2024). Population-Level Hybridization between Roulette Wheel Selection and Tournament Selection for Particle Swarm Optimization. 1–8. 1 indexed citations
8.
Lu, Zhenyu, et al.. (2023). Multi-modal anchor adaptation learning for multi-modal summarization. Neurocomputing. 570. 127144–127144. 2 indexed citations
9.
Jiang, Ying, Xiaoquan Liu, & Zhenyu Lu. (2023). Financial Uncertainty and Stock Market Volatility. SSRN Electronic Journal.
10.
Yang, Qiang, Peilan Xu, Xudong Gao, et al.. (2023). Triple competitive differential evolution for global numerical optimization. Swarm and Evolutionary Computation. 84. 101450–101450. 23 indexed citations
11.
Lu, Zhenyu, Yingying Wang, & Gongke Li. (2023). Covalent Organic Frameworks-Based Electrochemical Sensors for Food Safety Analysis. Biosensors. 13(2). 291–291. 22 indexed citations
12.
Yang, Qiang, et al.. (2023). A random elite ensemble learning swarm optimizer for high-dimensional optimization. Complex & Intelligent Systems. 9(5). 5467–5500. 20 indexed citations
13.
Yang, Qiang, et al.. (2022). A Ranking Weight Based Roulette Wheel Selection Method for Comprehensive Learning Particle Swarm optimization. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 1–7. 5 indexed citations
14.
Ge, Quanbo, et al.. (2021). Health Management of Dry-Type Transformer Based on Broad Learning System. IEEE Transactions on Industrial Electronics. 69(3). 3027–3036. 21 indexed citations
15.
Lim, Cheng‐Chew, et al.. (2020). Asymptotic Consensus of Dynamical Points in a Strict Max-Convex Space and Its Applications. SIAM Journal on Control and Optimization. 58(4). 1984–2005. 1 indexed citations
16.
Chen, Xiao, Jie Ding, & Zhenyu Lu. (2020). A Decentralized Trust Management System for Intelligent Transportation Environments. IEEE Transactions on Intelligent Transportation Systems. 23(1). 558–571. 71 indexed citations
17.
Lu, Zhenyu, Lu Jia, Quanbo Ge, & Tianming Zhan. (2019). Multi-object Detection Method based on YOLO and ResNet Hybrid Networks. 827–832. 16 indexed citations
18.
Lu, Zhenyu, Lin Huang, Jun Liu, et al.. (2019). Carbon dioxide mitigation co-benefit analysis of energy-related measures in the Air Pollution Prevention and Control Action Plan in the Jing-Jin-Ji region of China. SHILAP Revista de lepidopterología. 1. 100006–100006. 73 indexed citations
19.
Lu, Zhenyu, et al.. (2018). Carbon dot-decorated porous organic cage as fluorescent sensor for rapid discrimination of nitrophenol isomers and chiral alcohols. Analytica Chimica Acta. 1050. 146–153. 64 indexed citations
20.
Lu, Zhenyu, et al.. (2018). A new algorithm of improved two-dimensional principal component analysis face recognition. 20. 106–111. 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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