Hangqi Ding
Impact in
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis
Papers in
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- 3D Shape Modeling and Analysis 8
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- Metaheuristic Optimization Algorithms Research 9
- Evolutionary Algorithms and Applications 1
- Co-authors
- Yue Wu (8 shared papers)Maoguo Gong (9 shared papers)Wenping Ma (7 shared papers)Zhiyong Wu (2 shared papers)Alex Kai Qin (1 shared paper)Kay Chen Tan (1 shared paper)Hao Li (6 shared papers)Qiguang Miao (6 shared papers)
In The Last Decade
Hangqi Ding
13 papers receiving 317 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 125
- Computational Mechanics 67
- Computational Theory and Mathematics 36
- Media Technology 18
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Hangqi Ding
This map shows the geographic impact of Hangqi Ding'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 Hangqi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangqi Ding more than expected).
Fields of papers citing papers by Hangqi Ding
This network shows the impact of papers produced by Hangqi Ding. 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 Hangqi Ding. The network helps show where Hangqi Ding may publish in the future.
Co-authors
The 16 scholars most cited alongside Hangqi Ding, 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 | 2022 | 110 | |
| 2 | 2020 | 60 | |
| 3 | 2023 | 31 | |
| 4 | 2024 | 25 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2024 | 22 | |
| 8 | 2024 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2025 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 1 |
About Hangqi Ding
Hangqi Ding is a scholar working on Computational Mechanics, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Information Systems, having authored 13 papers that have together received 320 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), 3D Shape Modeling and Analysis (8 papers), Evolutionary Algorithms and Applications (1 paper), Advanced Multi-Objective Optimization Algorithms (1 paper), Service-Oriented Architecture and Web Services (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (125 citations), Computational Mechanics (67 citations), Computational Theory and Mathematics (36 citations), Media Technology (18 citations) and Computer Vision and Pattern Recognition (41 citations). Hangqi Ding has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yue Wu, Maoguo Gong, Wenping Ma, Zhiyong Wu, Alex Kai Qin, Kay Chen Tan, Hao Li, Qiguang Miao, Wenping Ma and Zedong Tang. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Journal of Intelligent & Fuzzy Systems, The Computer Journal and IEEE Transactions on Emerging Topics in Computational Intelligence.
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.