Tiebin Wu
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Solar Radiation and Photovoltaics
- Evolutionary Algorithms and Applications
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
Papers in
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- Metaheuristic Optimization Algorithms Research 10
- Evolutionary Algorithms and Applications 3
- Solar Radiation and Photovoltaics 2
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- Advanced Multi-Objective Optimization Algorithms 8
- Co-authors
- Wen Long (11 shared papers)Ming Xu (10 shared papers)Shaohong Cai (8 shared papers)Jianjun Jiao (8 shared papers)Ximing Liang (4 shared papers)Mingzhu Tang (6 shared papers)Haonan Hu (1 shared paper)Hongqiu Zhu (1 shared paper)
- Journals
- Expert Systems with Applications (3 papers)Engineering Applications of Artificial Intelligence (1 paper)Knowledge-Based Systems (1 paper)Soft Computing (1 paper)Energy (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Tiebin Wu
16 papers receiving 893 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 661
- Renewable Energy, Sustainability and the Environment 323
- Computational Theory and Mathematics 205
- Energy Engineering and Power Technology 29
- Numerical Analysis 29
Countries citing papers authored by Tiebin Wu
This map shows the geographic impact of Tiebin Wu'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 Tiebin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiebin Wu more than expected).
Fields of papers citing papers by Tiebin Wu
This network shows the impact of papers produced by Tiebin Wu. 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 Tiebin Wu. The network helps show where Tiebin Wu may publish in the future.
Co-authors
The 15 scholars most cited alongside Tiebin Wu, 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 | 2019 | 313 | |
| 2 | 2018 | 154 | |
| 3 | 2021 | 120 | |
| 4 | 2020 | 89 | |
| 5 | 2021 | 69 | |
| 6 | 2022 | 45 | |
| 7 | 2019 | 41 | |
| 8 | 2022 | 30 | |
| 9 | 2022 | 14 | |
| 10 | 2023 | 9 | |
| 11 | 2017 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2008 | 5 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2015 | 1 |
About Tiebin Wu
Tiebin Wu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 16 papers that have together received 905 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Evolutionary Algorithms and Applications (3 papers), Advanced Algorithms and Applications (3 papers), Solar Radiation and Photovoltaics (2 papers), Solar Thermal and Photovoltaic Systems (2 papers), Photovoltaic System Optimization Techniques (2 papers) and Agricultural Engineering and Mechanization (1 paper). The work is most often cited by research in Artificial Intelligence (661 citations), Renewable Energy, Sustainability and the Environment (323 citations), Computational Theory and Mathematics (205 citations), Energy Engineering and Power Technology (29 citations) and Numerical Analysis (29 citations). Tiebin Wu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Wen Long, Ming Xu, Shaohong Cai, Jianjun Jiao, Ximing Liang, Mingzhu Tang, Haonan Hu, Hongqiu Zhu, Fei Cheng and Wenyan Tang. Their work appears in journals such as Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Knowledge-Based Systems, Soft Computing and Energy.
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.