Yirui Wang
Impact in
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Computational Mathematics top 10%
Papers in
-
- Metaheuristic Optimization Algorithms Research 29
- Neural Networks and Applications 4
-
- Advanced Multi-Objective Optimization Algorithms 6
- Co-authors
- Shangce Gao (53 shared papers)Yang Yu (19 shared papers)Jiujun Cheng (10 shared papers)MengChu Zhou (4 shared papers)Jiahai Wang (5 shared papers)Jinxi Song (7 shared papers)Yuki Todo (11 shared papers)Zhenyu Lei (11 shared papers)
- Journals
- IEEE Access (5 papers)Swarm and Evolutionary Computation (5 papers)Information Sciences (5 papers)Computational Intelligence and Neuroscience (4 papers)Applied Soft Computing (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yirui Wang
120 papers receiving 4.0k citations
Yirui Wang's Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 1.5k
- Computational Mathematics 7
- Industrial and Manufacturing Engineering 100
- Computational Theory and Mathematics 112
- Genetics 192
Countries citing papers authored by Yirui Wang
This map shows the geographic impact of Yirui Wang'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 Yirui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yirui Wang more than expected).
Fields of papers citing papers by Yirui Wang
This network shows the impact of papers produced by Yirui Wang. 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 Yirui Wang. The network helps show where Yirui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yirui Wang, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction Hit paper breakdown → | 2018 | 611 |
| 2 | 2019 | 307 | |
| 3 | 2016 | 185 | |
| 4 | 2015 | 171 | |
| 5 | 2021 | 149 | |
| 6 | 2017 | 135 | |
| 7 | 2019 | 120 | |
| 8 | 2019 | 109 | |
| 9 | 2017 | 99 | |
| 10 | 2019 | 94 | |
| 11 | 2022 | 86 | |
| 12 | 2018 | 81 | |
| 13 | 2021 | 73 | |
| 14 | 2021 | 72 | |
| 15 | 2020 | 62 | |
| 16 | 2022 | 60 | |
| 17 | 2022 | 57 | |
| 18 | 2017 | 53 | |
| 19 | 2017 | 49 | |
| 20 | 2022 | 49 |
About Yirui Wang
Yirui Wang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Water Science and Technology, Surgery and Computer Vision and Pattern Recognition, having authored 131 papers that have together received 4.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (29 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Neural Networks and Applications (4 papers), Water-Energy-Food Nexus Studies (4 papers), Cleft Lip and Palate Research (3 papers), Remote-Sensing Image Classification (2 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Computational Mathematics (7 citations), Industrial and Manufacturing Engineering (100 citations), Computational Theory and Mathematics (112 citations) and Genetics (192 citations). Yirui Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shangce Gao, Yang Yu, Jiujun Cheng, MengChu Zhou, Jiahai Wang, Jinxi Song, Yuki Todo, Zhenyu Lei, Haotian Sun and Zheng Tang. Their work appears in journals such as IEEE Access, Swarm and Evolutionary Computation, Information Sciences, Computational Intelligence and Neuroscience 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.