Yansen Su
Impact in
- Computational Theory and Mathematics top 0.5%
- Advanced Multi-Objective Optimization Algorithms
- Computational Drug Discovery Methods
- Artificial Intelligence top 1%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Bioinformatics and Genomic Networks 20
- Gene expression and cancer classification 18
- Single-cell and spatial transcriptomics 13
- Gene Regulatory Network Analysis 12
- Co-authors
- Xingyi Zhang (23 shared papers)Ye Tian (6 shared papers)Yaochu Jin (2 shared papers)Chun-Hou Zheng (41 shared papers)Xiangxiang Zeng (10 shared papers)Ran Cheng (2 shared papers)Lejun Zhang (9 shared papers)Zilong Jin (7 shared papers)
In The Last Decade
Yansen Su
100 papers receiving 2.7k citations
Yansen Su's Hit Papers
Peers
Comparison fields: 5 of 139
- Computational Theory and Mathematics 955
- Artificial Intelligence 1.1k
- Statistical and Nonlinear Physics 284
- Information Systems 318
- Molecular Biology 752
Countries citing papers authored by Yansen Su
This map shows the geographic impact of Yansen Su'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 Yansen Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yansen Su more than expected).
Fields of papers citing papers by Yansen Su
This network shows the impact of papers produced by Yansen Su. 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 Yansen Su. The network helps show where Yansen Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yansen Su, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Strengthened Dominance Relation Considering Convergence and Diversity for Evolutionary Many-Objective Optimization Hit paper breakdown → | 2018 | 308 |
| 2 | Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization Hit paper breakdown → | 2021 | 264 |
| 3 | 2021 | 157 | |
| 4 | 2021 | 127 | |
| 5 | 2021 | 121 | |
| 6 | 2017 | 104 | |
| 7 | 2021 | 85 | |
| 8 | 2021 | 77 | |
| 9 | 2022 | 72 | |
| 10 | 2017 | 64 | |
| 11 | 2017 | 53 | |
| 12 | 2020 | 50 | |
| 13 | 2020 | 49 | |
| 14 | 2017 | 48 | |
| 15 | 2021 | 48 | |
| 16 | 2019 | 44 | |
| 17 | 2019 | 43 | |
| 18 | 2023 | 42 | |
| 19 | 2019 | 40 | |
| 20 | 2021 | 39 |
About Yansen Su
Yansen Su is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Statistical and Nonlinear Physics, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (20 papers), Gene expression and cancer classification (18 papers), Computational Drug Discovery Methods (15 papers), Single-cell and spatial transcriptomics (13 papers), Gene Regulatory Network Analysis (12 papers), Cancer-related molecular mechanisms research (10 papers), Complex Network Analysis Techniques (10 papers) and Blockchain Technology Applications and Security (9 papers). The work is most often cited by research in Computational Theory and Mathematics (955 citations), Artificial Intelligence (1.1k citations), Statistical and Nonlinear Physics (284 citations), Information Systems (318 citations) and Molecular Biology (752 citations). Yansen Su has collaborated with scholars based in China, Hong Kong and Mongolia. Frequent co-authors include Xingyi Zhang, Ye Tian, Yaochu Jin, Chun-Hou Zheng, Xiangxiang Zeng, Ran Cheng, Lejun Zhang, Zilong Jin, Weizheng Wang and Huiling Chen. Their work appears in journals such as Briefings in Bioinformatics, Methods, Frontiers in Genetics, PLoS Computational Biology and Scientific Reports.
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.