Jingda Deng

506 citations
13 papers · 379 indexed · h-index 9
Topics
Advanced Multi-Objective Optimization Algorithms (10 papers)Metaheuristic Optimization Algorithms Research (7 papers)Evolutionary Algorithms and Applications (4 papers)
Partner nations
Hong KongChinaAustria

In The Last Decade

Jingda Deng

12 papers receiving 374 citations

Peers

Jingda Deng
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 262
  • Artificial Intelligence 256
  • Management Science and Operations Research 55
  • Industrial and Manufacturing Engineering 32
  • Control and Systems Engineering 31
Replace Zhenshou Song with:
Zhenshou Song China
Minglei Yin China
Krishnendu Sanyal India
Jie Tian China
Amitay Isaacs Australia
Yuanchao Liu China
Richard A. Gonçalves Brazil
Morteza Alinia Ahandani Iran
Luis Miguel Antonio Mexico
Yintong Li China
Jingda Deng relative to Zhenshou Song China Zhenshou Song's profile →
Citations per field
00.5×1.5×2.4×
Zhenshou Song · 1×
Citations per year

Countries citing papers authored by Jingda Deng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jingda Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingda Deng. A scholar is included among the top collaborators of Jingda Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingda Deng. Jingda Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 2
3 2
4 48
5 14
6 38
7 2
8 30
9 46
10 12
11 145
12 23
13 17

About Jingda Deng

Jingda Deng is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Statistics, Probability and Uncertainty, 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) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Computational Theory and Mathematics (262 citations), Computational Mathematics (7 citations) and Artificial Intelligence (256 citations). Jingda Deng has collaborated with scholars based in Hong Kong, China and Austria. Frequent co-authors include Qingfu Zhang, Hui Li, Zongben Xu, Jianyong Sun, Jia Zeng, Hui‐Ling Zhen, Zhenkun Wang, Mingxuan Yuan, Hui Li and Hui Li. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Neural Networks and Learning Systems.

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.

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