Jingda Deng
Impact in
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Advanced Multi-Objective Optimization Algorithms 10
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- Metaheuristic Optimization Algorithms Research 7
- Evolutionary Algorithms and Applications 4
- Neural Networks and Applications 1
- Co-authors
- Qingfu Zhang (13 shared papers)Hui Li (7 shared papers)Zongben Xu (2 shared papers)Jianyong Sun (4 shared papers)Hui‐Ling Zhen (1 shared paper)Mingxuan Yuan (1 shared paper)Zhenkun Wang (1 shared paper)Jia Zeng (1 shared paper)
- Journals
- IEEE Transactions on Evolutionary Computation (4 papers)IEEE Transactions on Cybernetics (2 papers)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Swarm and Evolutionary Computation (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Jingda Deng
12 papers receiving 374 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 262
- Computational Mathematics 7
- Artificial Intelligence 256
- Management Science and Operations Research 55
- Industrial and Manufacturing Engineering 32
Countries citing papers authored by Jingda Deng
This map shows the geographic impact of Jingda Deng'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 Jingda Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingda Deng more than expected).
Fields of papers citing papers by Jingda Deng
This network shows the impact of papers produced by Jingda Deng. 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 Jingda Deng. The network helps show where Jingda Deng may publish in the future.
Co-authors
The 14 scholars most cited alongside Jingda Deng, 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 | 2016 | 145 | |
| 2 | 2021 | 48 | |
| 3 | 2017 | 46 | |
| 4 | 2019 | 38 | |
| 5 | 2018 | 30 | |
| 6 | 2015 | 23 | |
| 7 | 2014 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2025 | 0 |
About Jingda Deng
Jingda Deng is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (10 papers), Metaheuristic Optimization Algorithms Research (7 papers), Evolutionary Algorithms and Applications (4 papers), Probabilistic and Robust Engineering Design (2 papers), Optimal Experimental Design Methods (2 papers), Neural Networks and Applications (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper) and Process Optimization and Integration (1 paper). The work is most often cited by research in Computational Theory and Mathematics (262 citations), Computational Mathematics (7 citations), Artificial Intelligence (256 citations), Management Science and Operations Research (55 citations) and Industrial and Manufacturing Engineering (32 citations). Jingda Deng has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Qingfu Zhang, Hui Li, Zongben Xu, Jianyong Sun, Hui‐Ling Zhen, Mingxuan Yuan, Zhenkun Wang, Jia Zeng, Hui Li and Hui Li. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Swarm and Evolutionary Computation and Proceedings of the AAAI Conference on Artificial 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.