Ruochen Liu
Impact in
-
- Advanced Multi-Objective Optimization Algorithms
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Metaheuristic Optimization Algorithms Research 53
- Evolutionary Algorithms and Applications 14
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- Advanced Multi-Objective Optimization Algorithms 41
- Co-authors
- Licheng Jiao (49 shared papers)Jianxia Li (16 shared papers)Jing Liu (5 shared papers)Yangyang Li (14 shared papers)Jin Liu (3 shared papers)Jing Fan (4 shared papers)Caihong Mu (8 shared papers)Changzheng Qu (3 shared papers)
- Journals
- Applied Soft Computing (8 papers)Information Sciences (6 papers)Soft Computing (6 papers)Swarm and Evolutionary Computation (4 papers)Knowledge-Based Systems (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ruochen Liu
102 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 122
- Computational Theory and Mathematics 584
- Media Technology 216
- Artificial Intelligence 781
- Modeling and Simulation 59
- Statistical and Nonlinear Physics 152
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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 118 | |
| 2 | 2000 | 101 | |
| 3 | 2020 | 99 | |
| 4 | 2020 | 90 | |
| 5 | 2023 | 82 | |
| 6 | 2020 | 76 | |
| 7 | 2014 | 73 | |
| 8 | 2012 | 53 | |
| 9 | 2013 | 44 | |
| 10 | 2019 | 43 | |
| 11 | 2022 | 36 | |
| 12 | 2012 | 35 | |
| 13 | 2022 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2018 | 33 | |
| 16 | 2010 | 31 | |
| 17 | 2015 | 30 | |
| 18 | 2012 | 29 | |
| 19 | 2014 | 24 | |
| 20 | 2014 | 24 |
About Ruochen Liu
Ruochen Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering, having authored 109 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (53 papers), Advanced Multi-Objective Optimization Algorithms (41 papers), Artificial Immune Systems Applications (17 papers), Evolutionary Algorithms and Applications (14 papers), Remote-Sensing Image Classification (9 papers), Optimal Experimental Design Methods (7 papers), Face and Expression Recognition (6 papers) and Vehicle Routing Optimization Methods (6 papers). The work is most often cited by research in Computational Theory and Mathematics (584 citations), Media Technology (216 citations), Artificial Intelligence (781 citations), Modeling and Simulation (59 citations) and Statistical and Nonlinear Physics (152 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, Yangyang Li, Jin Liu, Jing Fan, Caihong Mu, Changzheng Qu, Shunli Zhang and Langlang Zhang. Their work appears in journals such as Applied Soft Computing, Information Sciences, Soft Computing, Swarm and Evolutionary Computation and Knowledge-Based 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.