Liangping Tu
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Metaheuristic Optimization Algorithms Research 15
- Evolutionary Algorithms and Applications 9
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- Power System Optimization and Stability 6
- Co-authors
- Hao Liu (6 shared papers)Hao Liu (11 shared papers)Kun Men (6 shared papers)Chao Lü (6 shared papers)Yue Wang (4 shared papers)Yuhan Hu (3 shared papers)Jiming Liu (1 shared paper)Yuan Tang (1 shared paper)
- Journals
- Expert Systems with Applications (3 papers)Soft Computing (2 papers)Monthly Notices of the Royal Astronomical Society (2 papers)The Astrophysical Journal Supplement Series (2 papers)Applied Soft Computing (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liangping Tu
45 papers receiving 821 citations
Peers
Comparison fields: 5 of 98
- Computational Theory and Mathematics 190
- Artificial Intelligence 330
- Instrumentation 31
- Control and Systems Engineering 195
- Computer Vision and Pattern Recognition 138
Countries citing papers authored by Liangping Tu
This map shows the geographic impact of Liangping Tu'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 Liangping Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangping Tu more than expected).
Fields of papers citing papers by Liangping Tu
This network shows the impact of papers produced by Liangping Tu. 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 Liangping Tu. The network helps show where Liangping Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liangping Tu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2020 | 118 | |
| 3 | 1998 | 70 | |
| 4 | 2015 | 65 | |
| 5 | 2020 | 44 | |
| 6 | 2014 | 40 | |
| 7 | 2019 | 34 | |
| 8 | 2019 | 28 | |
| 9 | 2018 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2022 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2015 | 15 | |
| 17 | 2015 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2013 | 11 | |
| 20 | 2020 | 10 |
About Liangping Tu
Liangping Tu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 858 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (15 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Evolutionary Algorithms and Applications (9 papers), Astronomical Observations and Instrumentation (8 papers), Power System Optimization and Stability (6 papers), Remote Sensing and Land Use (6 papers), Power Systems and Renewable Energy (6 papers) and Stellar, planetary, and galactic studies (5 papers). The work is most often cited by research in Computational Theory and Mathematics (190 citations), Artificial Intelligence (330 citations), Instrumentation (31 citations), Control and Systems Engineering (195 citations) and Computer Vision and Pattern Recognition (138 citations). Liangping Tu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao Liu, Hao Liu, Kun Men, Chao Lü, Yue Wang, Yuhan Hu, Jiming Liu, Yuan Tang, Yingduo Han and Yi Zhao. Their work appears in journals such as Expert Systems with Applications, Soft Computing, Monthly Notices of the Royal Astronomical Society, The Astrophysical Journal Supplement Series and Applied Soft Computing.
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.