Bingshui Da
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
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- Evolutionary Algorithms and Applications 5
- Metaheuristic Optimization Algorithms Research 5
- Domain Adaptation and Few-Shot Learning 1
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- Advanced Multi-Objective Optimization Algorithms 5
- Co-authors
- Yew-Soon Ong (5 shared papers)Abhishek Gupta (5 shared papers)Liang Feng (5 shared papers)Lei Zhou (2 shared papers)Jinghui Zhong (2 shared papers)Siwei Jiang (2 shared papers)Zixin Zhu (1 shared paper)Wei Zhou (1 shared paper)
- Journals
- IEEE Transactions on Cybernetics (1 paper)Knowledge-Based Systems (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference Companion (1 paper)DR-NTU (Nanyang Technological University) (1 paper)Singapore Management University Institutional Knowledge (InK) (Singapore Management University) (1 paper)
In The Last Decade
Bingshui Da
9 papers receiving 406 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 265
- Artificial Intelligence 330
- Industrial and Manufacturing Engineering 32
- Computer Vision and Pattern Recognition 60
- Management Science and Operations Research 19
Countries citing papers authored by Bingshui Da
This map shows the geographic impact of Bingshui Da'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 Bingshui Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingshui Da more than expected).
Fields of papers citing papers by Bingshui Da
This network shows the impact of papers produced by Bingshui Da. 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 Bingshui Da. The network helps show where Bingshui Da may publish in the future.
Co-authors
The 17 scholars most cited alongside Bingshui Da, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2018 | 103 | |
| 3 | 2016 | 43 | |
| 4 | 2016 | 40 | |
| 5 | 2019 | 38 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 24 | |
| 8 | 2016 | 2 | |
| 9 | 2015 | 1 |
About Bingshui Da
Bingshui Da is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Transportation, Automotive Engineering and Control and Systems Engineering, having authored 9 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Transportation Planning and Optimization (2 papers), Optimization and Mathematical Programming (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Traffic control and management (1 paper) and Vehicle Routing Optimization Methods (1 paper). The work is most often cited by research in Computational Theory and Mathematics (265 citations), Artificial Intelligence (330 citations), Industrial and Manufacturing Engineering (32 citations), Computer Vision and Pattern Recognition (60 citations) and Management Science and Operations Research (19 citations). Bingshui Da has collaborated with scholars based in Singapore, China and Canada. Frequent co-authors include Yew-Soon Ong, Abhishek Gupta, Liang Feng, Lei Zhou, Jinghui Zhong, Siwei Jiang, Zixin Zhu, Wei Zhou, Hangwei Qian and Chunyan Miao. Their work appears in journals such as IEEE Transactions on Cybernetics, Knowledge-Based Systems, Proceedings of the Genetic and Evolutionary Computation Conference Companion, DR-NTU (Nanyang Technological University) and Singapore Management University Institutional Knowledge (InK) (Singapore Management University).
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.