Dawei Zhan
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Probabilistic and Robust Engineering Design
Papers in
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- Metaheuristic Optimization Algorithms Research 11
- Evolutionary Algorithms and Applications 3
- Machine Learning and Data Classification 2
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- Advanced Multi-Objective Optimization Algorithms 14
- Co-authors
- Huanlai Xing (9 shared papers)Yuansheng Cheng (3 shared papers)Jun Liu (2 shared papers)Shouxi Luo (4 shared papers)Penglin Dai (4 shared papers)Zhiwen Xiao (2 shared papers)Xin Xu (1 shared paper)Ke Li (1 shared paper)
- Journals
- Journal of Global Optimization (5 papers)IEEE Transactions on Evolutionary Computation (3 papers)Information Sciences (2 papers)Engineering Optimization (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Dawei Zhan
17 papers receiving 841 citations
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 371
- Statistics, Probability and Uncertainty 139
- Management Science and Operations Research 148
- Artificial Intelligence 304
- Signal Processing 60
Countries citing papers authored by Dawei Zhan
This map shows the geographic impact of Dawei Zhan'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 Dawei Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Zhan more than expected).
Fields of papers citing papers by Dawei Zhan
This network shows the impact of papers produced by Dawei Zhan. 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 Dawei Zhan. The network helps show where Dawei Zhan may publish in the future.
Co-authors
The 22 scholars most cited alongside Dawei Zhan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 159 | |
| 2 | 2021 | 148 | |
| 3 | 2020 | 139 | |
| 4 | 2022 | 99 | |
| 5 | 2016 | 76 | |
| 6 | 2021 | 68 | |
| 7 | 2020 | 67 | |
| 8 | 2016 | 32 | |
| 9 | 2020 | 22 | |
| 10 | 2012 | 18 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2026 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2018 | 0 |
About Dawei Zhan
Dawei Zhan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Numerical Analysis and Computer Networks and Communications, having authored 21 papers that have together received 854 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (14 papers), Metaheuristic Optimization Algorithms Research (11 papers), Evolutionary Algorithms and Applications (3 papers), Advanced Optimization Algorithms Research (3 papers), Time Series Analysis and Forecasting (2 papers), Advanced Bandit Algorithms Research (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (371 citations), Statistics, Probability and Uncertainty (139 citations), Management Science and Operations Research (148 citations), Artificial Intelligence (304 citations) and Signal Processing (60 citations). Dawei Zhan has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Huanlai Xing, Yuansheng Cheng, Jun Liu, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Xin Xu, Ke Li, Rong Qu and Fuhong Song. Their work appears in journals such as Journal of Global Optimization, IEEE Transactions on Evolutionary Computation, Information Sciences, Engineering Optimization and IEEE Internet of Things Journal.
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.