Weian Guo
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 30
- Evolutionary Algorithms and Applications 19
- Machine Learning and ELM 3
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- Advanced Multi-Objective Optimization Algorithms 25
- Co-authors
- Qidi Wu (14 shared papers)Qidi Wu (13 shared papers)Lei Wang (12 shared papers)Qi Kang (3 shared papers)Lei Wang (9 shared papers)Yantai Huang (1 shared paper)Lei Wang (1 shared paper)Hongliang Ren (5 shared papers)
In The Last Decade
Weian Guo
48 papers receiving 713 citations
Peers
Comparison fields: 5 of 89
- Computational Theory and Mathematics 213
- Artificial Intelligence 309
- Control and Systems Engineering 148
- Industrial and Manufacturing Engineering 55
- Building and Construction 73
Countries citing papers authored by Weian Guo
This map shows the geographic impact of Weian Guo'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 Weian Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weian Guo more than expected).
Fields of papers citing papers by Weian Guo
This network shows the impact of papers produced by Weian Guo. 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 Weian Guo. The network helps show where Weian Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Weian Guo, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 156 | |
| 2 | 2020 | 71 | |
| 3 | 2016 | 65 | |
| 4 | 2013 | 45 | |
| 5 | 2013 | 44 | |
| 6 | 2014 | 30 | |
| 7 | 2018 | 25 | |
| 8 | 2018 | 25 | |
| 9 | 2020 | 21 | |
| 10 | 2015 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2014 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2017 | 12 | |
| 16 | 2023 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2016 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Weian Guo
Weian Guo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 50 papers that have together received 724 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (30 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Evolutionary Algorithms and Applications (19 papers), Artificial Immune Systems Applications (4 papers), Distributed Control Multi-Agent Systems (3 papers), Machine Learning and ELM (3 papers), Transportation Planning and Optimization (3 papers) and Traffic control and management (3 papers). The work is most often cited by research in Computational Theory and Mathematics (213 citations), Artificial Intelligence (309 citations), Control and Systems Engineering (148 citations), Industrial and Manufacturing Engineering (55 citations) and Building and Construction (73 citations). Weian Guo has collaborated with scholars based in China, Singapore and Denmark. Frequent co-authors include Qidi Wu, Qidi Wu, Lei Wang, Qi Kang, Lei Wang, Yantai Huang, Lei Wang, Hongliang Ren, Dongyang Li and Alexander Lerch. Their work appears in journals such as Applied Soft Computing, Information Sciences, Soft Computing, Neural Computing and Applications and IET Intelligent Transport 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.