Jinglu Li
Impact in
-
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Metaheuristic Optimization Algorithms Research 11
-
- Advanced Multi-Objective Optimization Algorithms 11
- Co-authors
- Huachao Dong (16 shared papers)Peng Wang (15 shared papers)Jiangtao Shen (8 shared papers)Caihua Chen (2 shared papers)Jun Xiao (1 shared paper)Peng Wang (1 shared paper)Baowei Song (1 shared paper)Wenxin Wang (1 shared paper)
In The Last Decade
Jinglu Li
32 papers receiving 310 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 157
- Artificial Intelligence 146
- Management Science and Operations Research 47
- Marketing 32
- Ocean Engineering 40
Countries citing papers authored by Jinglu Li
This map shows the geographic impact of Jinglu Li'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 Jinglu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinglu Li more than expected).
Fields of papers citing papers by Jinglu Li
This network shows the impact of papers produced by Jinglu Li. 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 Jinglu Li. The network helps show where Jinglu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinglu Li, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 44 | |
| 2 | 2022 | 38 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 20 | |
| 6 | 2019 | 19 | |
| 7 | 2023 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2006 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 3 |
About Jinglu Li
Jinglu Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Ocean Engineering, Management Science and Operations Research and Aerospace Engineering, having authored 38 papers that have together received 320 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Underwater Vehicles and Communication Systems (7 papers), Optimal Experimental Design Methods (6 papers), Aerospace Engineering and Energy Systems (4 papers), Power Systems and Technologies (3 papers), Robotic Path Planning Algorithms (3 papers) and Smart Grid and Power Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (157 citations), Artificial Intelligence (146 citations), Management Science and Operations Research (47 citations), Marketing (32 citations) and Ocean Engineering (40 citations). Jinglu Li has collaborated with scholars based in China, Malaysia and Belgium. Frequent co-authors include Huachao Dong, Peng Wang, Jiangtao Shen, Caihua Chen, Jun Xiao, Peng Wang, Baowei Song, Wenxin Wang, Chen Xu and Xinjing Wang. Their work appears in journals such as Expert Systems with Applications, Ships and Offshore Structures, Applied Soft Computing, Knowledge-Based Systems and Ocean Engineering.
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.