Nan Lu
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 16
- Evolutionary Algorithms and Applications 11
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- Advanced Multi-Objective Optimization Algorithms 11
- Matrix Theory and Algorithms 6
- Optimization and Variational Analysis 5
- Co-authors
- Laizhong Cui (28 shared papers)Genghui Li (14 shared papers)Zhong Ming (9 shared papers)Jianyong Chen (6 shared papers)Qiuzhen Lin (6 shared papers)Zhenkun Wen (10 shared papers)Jian Lü (7 shared papers)Shu Yang (2 shared papers)
- Journals
- Information Sciences (4 papers)Soft Computing (3 papers)Applied Soft Computing (3 papers)Journal of Differential Equations (2 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Nan Lu
69 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 473
- Artificial Intelligence 856
- Computer Networks and Communications 436
- Numerical Analysis 78
- Statistical and Nonlinear Physics 158
Countries citing papers authored by Nan Lu
This map shows the geographic impact of Nan 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 Nan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Lu more than expected).
Fields of papers citing papers by Nan Lu
This network shows the impact of papers produced by Nan 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 Nan Lu. The network helps show where Nan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 190 | |
| 2 | 2015 | 182 | |
| 3 | 2018 | 144 | |
| 4 | 2016 | 108 | |
| 5 | 2018 | 107 | |
| 6 | 2017 | 104 | |
| 7 | 2017 | 94 | |
| 8 | 2017 | 87 | |
| 9 | 2016 | 80 | |
| 10 | 2017 | 77 | |
| 11 | 2016 | 62 | |
| 12 | 2016 | 59 | |
| 13 | 2018 | 45 | |
| 14 | 2017 | 38 | |
| 15 | 2017 | 31 | |
| 16 | 2016 | 26 | |
| 17 | 2017 | 26 | |
| 18 | 2018 | 21 | |
| 19 | 2018 | 21 | |
| 20 | 2016 | 19 |
About Nan Lu
Nan Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 76 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (16 papers), Evolutionary Algorithms and Applications (11 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Advanced Optimization Algorithms Research (10 papers), Matrix Theory and Algorithms (6 papers), Optimization and Variational Analysis (5 papers), Data Mining Algorithms and Applications (5 papers) and Nonlinear Photonic Systems (4 papers). The work is most often cited by research in Computational Theory and Mathematics (473 citations), Artificial Intelligence (856 citations), Computer Networks and Communications (436 citations), Numerical Analysis (78 citations) and Statistical and Nonlinear Physics (158 citations). Nan Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Laizhong Cui, Genghui Li, Zhong Ming, Jianyong Chen, Qiuzhen Lin, Zhenkun Wen, Jian Lü, Shu Yang, Fei Chen and Xianghua Fu. Their work appears in journals such as Information Sciences, Soft Computing, Applied Soft Computing, Journal of Differential Equations and Future Generation Computer Systems.
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.