Anping Lin
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 15
- Evolutionary Algorithms and Applications 6
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- Advanced Multi-Objective Optimization Algorithms 9
- Co-authors
- Hongwei Tang (11 shared papers)Hongshan Yu (7 shared papers)Guohua Wu (4 shared papers)Min Xue (7 shared papers)Wei Sun (8 shared papers)Huangke Chen (1 shared paper)Xin Shen (1 shared paper)Ponnuthurai Nagaratnam Suganthan (1 shared paper)
- Journals
- IEEE Access (2 papers)Energies (2 papers)Expert Systems with Applications (2 papers)Biochemistry (2 papers)Swarm and Evolutionary Computation (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Anping Lin
40 papers receiving 1.3k citations
Anping Lin's Hit Papers
Peers
Comparison fields: 5 of 109
- Computational Theory and Mathematics 307
- Artificial Intelligence 560
- Ocean Engineering 121
- Signal Processing 87
- Electrical and Electronic Engineering 434
Countries citing papers authored by Anping Lin
This map shows the geographic impact of Anping Lin'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 Anping Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anping Lin more than expected).
Fields of papers citing papers by Anping Lin
This network shows the impact of papers produced by Anping Lin. 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 Anping Lin. The network helps show where Anping Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Anping Lin, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ensemble of differential evolution variants Hit paper breakdown → | 2017 | 332 |
| 2 | 2010 | 205 | |
| 3 | 2018 | 161 | |
| 4 | 2018 | 103 | |
| 5 | 2019 | 53 | |
| 6 | 2019 | 51 | |
| 7 | 2019 | 46 | |
| 8 | 2017 | 46 | |
| 9 | 2019 | 46 | |
| 10 | 2021 | 40 | |
| 11 | 2001 | 23 | |
| 12 | 2021 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2018 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2005 | 10 |
About Anping Lin
Anping Lin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (6 papers), Distributed Control Multi-Agent Systems (5 papers), Robotic Path Planning Algorithms (5 papers), Speech and Audio Processing (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computational Theory and Mathematics (307 citations), Artificial Intelligence (560 citations), Ocean Engineering (121 citations), Signal Processing (87 citations) and Electrical and Electronic Engineering (434 citations). Anping Lin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongwei Tang, Hongshan Yu, Guohua Wu, Min Xue, Wei Sun, Huangke Chen, Xin Shen, Ponnuthurai Nagaratnam Suganthan, Haifeng Li and Wei Sun. Their work appears in journals such as IEEE Access, Energies, Expert Systems with Applications, Biochemistry and Swarm and Evolutionary Computation.
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.