Zhenyu Lu
Impact in
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- Carbon dioxide utilization in catalysis
- Catalysis top 10%
- Catalysts for Methane Reforming
Papers in ⓘ
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- Metaheuristic Optimization Algorithms Research 26
- Evolutionary Algorithms and Applications 13
- Co-authors
- Qiang Yang (26 shared papers)Xudong Gao (26 shared papers)Jun Zhang (17 shared papers)Gongke Li (10 shared papers)Runkun Zhang (6 shared papers)Sang-Woon Jeon (10 shared papers)Yufei Hu (7 shared papers)Dongdong Xu (7 shared papers)
- Journals
- Remote Sensing (5 papers)Expert Systems with Applications (4 papers)IEEE Transactions on Cybernetics (4 papers)Neurocomputing (3 papers)Talanta (3 papers)
- Partner nations
- ChinaSouth KoreaTaiwan
In The Last Decade
Zhenyu Lu
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 139
- Process Chemistry and Technology 69
- Catalysis 138
- Artificial Intelligence 549
- Computational Theory and Mathematics 234
- Computer Vision and Pattern Recognition 216
Countries citing papers authored by Zhenyu Lu
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
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.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2020 | 94 | |
| 3 | 2020 | 88 | |
| 4 | 2019 | 86 | |
| 5 | 2019 | 73 | |
| 6 | 2020 | 71 | |
| 7 | 2018 | 64 | |
| 8 | 2020 | 54 | |
| 9 | 2022 | 50 | |
| 10 | 2022 | 45 | |
| 11 | 2023 | 41 | |
| 12 | 2018 | 41 | |
| 13 | 2015 | 35 | |
| 14 | 2019 | 35 | |
| 15 | 2020 | 34 | |
| 16 | 2018 | 30 | |
| 17 | 2018 | 29 | |
| 18 | 2022 | 27 | |
| 19 | 2022 | 27 | |
| 20 | 2019 | 27 |
About Zhenyu Lu
Zhenyu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Computational Theory and Mathematics, having authored 120 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (26 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Evolutionary Algorithms and Applications (13 papers), Molecular Sensors and Ion Detection (7 papers), Advanced Algorithms and Applications (6 papers), Covalent Organic Framework Applications (6 papers), Vehicle Routing Optimization Methods (6 papers) and Neural Networks Stability and Synchronization (6 papers). The work is most often cited by research in Process Chemistry and Technology (69 citations), Catalysis (138 citations), Artificial Intelligence (549 citations), Computational Theory and Mathematics (234 citations) and Computer Vision and Pattern Recognition (216 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, Mindong Chen and Junhao Hu. Their work appears in journals such as Remote Sensing, Expert Systems with Applications, IEEE Transactions on Cybernetics, Neurocomputing and Talanta.
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.