Rui Ding

683 citations
31 papers · 468 · h-index 11

Impact in

Papers in

Rui Ding

27 papers receiving 459 citations

Peers

Rui Ding
Comparison fields: 5 of 96
  • Computational Theory and Mathematics 140
  • Management Science and Operations Research 80
  • Artificial Intelligence 177
  • Statistics, Probability and Uncertainty 38
  • Software 16
Replace Gilberto Rivera with:
Gilberto Rivera Mexico
Zubair Ashraf India
Bruce Abramson United States
Boya Wei China
Andrzej Janusz Poland
Pepa Ramírez‐Cobo Spain
Carlos J. Mantas Spain
Hamidreza Seiti Iran
Wen Shi China
Yang Yan China
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Citations per field
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Citations per year

Countries citing papers authored by Rui Ding

Since Specialization
Citations

This map shows the geographic impact of Rui 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 Rui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Ding more than expected).

Fields of papers citing papers by Rui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui 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 Rui Ding. The network helps show where Rui Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Rui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rui Ding Line = papers co-authored together Rui Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018146
2 200477
3 202047
4 202432
5 202228
6 202026
7 201920
8 201817
9 201216
10 202215
11 202114
12 20214
13 20213
14 20243
15
Nonlinear Error Dynamics and Predictability Study
20073
16 20222
17 20232
18 20122
19 20192
20 20051

About Rui Ding

Rui Ding is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Information Systems and Hardware and Architecture, having authored 31 papers that have together received 468 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Software Testing and Debugging Techniques (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (3 papers), Optimal Experimental Design Methods (2 papers), Advanced Data Storage Technologies (2 papers) and Interconnection Networks and Systems (2 papers). The work is most often cited by research in Computational Theory and Mathematics (140 citations), Management Science and Operations Research (80 citations), Artificial Intelligence (177 citations), Statistics, Probability and Uncertainty (38 citations) and Software (16 citations). Rui Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hongbin Dong, Dennis K. J. Lin, Jichuan Sheng, Xiaohang Sun, Xiao Han, Jun He, Tao Li, Tao Li, Hongbin Zhai and Junjun Yao. Their work appears in journals such as Applied Soft Computing, Applied Intelligence, Quality Engineering, Clinical Reviews in Allergy & Immunology and Environmental Science & Policy.

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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