Zhenyu Lu

2.3k citations
126 papers · 1.8k · h-index 25

Impact in

Papers in

Zhenyu Lu

112 papers receiving 1.8k citations

Peers

Zhenyu Lu
Comparison fields: 5 of 136
  • Process Chemistry and Technology 70
  • Catalysis 140
  • Artificial Intelligence 585
  • Computational Theory and Mathematics 252
  • Computer Vision and Pattern Recognition 234
Replace Giorgio Valentini with:
Giorgio Valentini Italy
M. Srinivas India
Lihong Guo China
Gang Xie China
Sebastian Mosbach United Kingdom
Qin‐Yu Zhu China
Yannan Li China
Jinlong Li China
Yanming Shen China
Zhenyu Lu relative to Giorgio Valentini Italy Giorgio Valentini's profile →
Citations per field
00.5×1.5×2.5×
Giorgio Valentini · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017123
2 202097
3 201991
4 202091
5 202075
6 201973
7 201867
8 202060
9 202253
10 202247
11 202346
12 201842
13 201935
14 201535
15 202034
16 201831
17 202030
18 201829
19 202329
20 202228

About Zhenyu Lu

Zhenyu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 126 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (16 papers), Evolutionary Algorithms and Applications (13 papers), Vehicle Routing Optimization Methods (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), Remote-Sensing Image Classification (7 papers), Advanced Algorithms and Applications (6 papers) and Molecular Sensors and Ion Detection (6 papers). The work is most often cited by research in Process Chemistry and Technology (70 citations), Catalysis (140 citations), Artificial Intelligence (585 citations), Computational Theory and Mathematics (252 citations) and Computer Vision and Pattern Recognition (234 citations). Zhenyu Lu has collaborated with scholars based in China, South Korea and Taiwan. Frequent co-authors include Qiang Yang, Xudong Gao, Jun Zhang, Gongke Li, Runkun Zhang, Sang-Woon Jeon, Yufei Hu, Dongdong Xu, Tianming Zhan and Jie Ding. Their work appears in journals such as Remote Sensing, IEEE Transactions on Cybernetics, Expert Systems with Applications, Talanta and Neurocomputing.

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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