Ruochen Liu
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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- Advanced Multi-Objective Optimization Algorithms 45
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- Metaheuristic Optimization Algorithms Research 59
- Evolutionary Algorithms and Applications 15
- Co-authors
- Licheng Jiao (55 shared papers)Jianxia Li (16 shared papers)Jing Liu (7 shared papers)Jin Liu (3 shared papers)Yangyang Li (14 shared papers)Jing Fan (4 shared papers)Caihong Mu (8 shared papers)Changzheng Qu (3 shared papers)
- Journals
- Applied Soft Computing (8 papers)Soft Computing (6 papers)Information Sciences (6 papers)Knowledge-Based Systems (4 papers)Swarm and Evolutionary Computation (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ruochen Liu
114 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 125
- Computational Theory and Mathematics 666
- Artificial Intelligence 882
- Media Technology 223
- Modeling and Simulation 59
- Statistical and Nonlinear Physics 157
Countries citing papers authored by Ruochen Liu
This map shows the geographic impact of Ruochen Liu'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 Ruochen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruochen Liu more than expected).
Fields of papers citing papers by Ruochen Liu
This network shows the impact of papers produced by Ruochen Liu. 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 Ruochen Liu. The network helps show where Ruochen Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruochen Liu, 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 | 122 | |
| 2 | 2020 | 110 | |
| 3 | 2000 | 104 | |
| 4 | 2020 | 95 | |
| 5 | 2023 | 91 | |
| 6 | 2020 | 85 | |
| 7 | 2014 | 76 | |
| 8 | 2012 | 55 | |
| 9 | 2019 | 47 | |
| 10 | 2013 | 47 | |
| 11 | 2022 | 39 | |
| 12 | 2021 | 35 | |
| 13 | 2022 | 35 | |
| 14 | 2015 | 34 | |
| 15 | 2018 | 34 | |
| 16 | 2012 | 34 | |
| 17 | 2010 | 33 | |
| 18 | 2012 | 31 | |
| 19 | 2004 | 27 | |
| 20 | 2014 | 25 |
About Ruochen Liu
Ruochen Liu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 120 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (59 papers), Advanced Multi-Objective Optimization Algorithms (45 papers), Artificial Immune Systems Applications (23 papers), Evolutionary Algorithms and Applications (15 papers), Remote-Sensing Image Classification (9 papers), Face and Expression Recognition (8 papers), Optimal Experimental Design Methods (7 papers) and Advanced Algorithms and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (666 citations), Artificial Intelligence (882 citations), Media Technology (223 citations), Modeling and Simulation (59 citations) and Statistical and Nonlinear Physics (157 citations). Ruochen Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Licheng Jiao, Jianxia Li, Jing Liu, Jin Liu, Yangyang Li, Jing Fan, Caihong Mu, Changzheng Qu, Langlang Zhang and S Zhang. Their work appears in journals such as Applied Soft Computing, Soft Computing, Information Sciences, Knowledge-Based Systems 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.