Chao Ding

940 citations
72 papers · 559 · h-index 14

Impact in

Papers in

Chao Ding

63 papers receiving 534 citations

Peers

Chao Ding
Comparison fields: 5 of 100
  • Numerical Analysis 169
  • Computational Theory and Mathematics 160
  • Computational Mechanics 135
  • Computational Mathematics 2
  • Energy Engineering and Power Technology 9
Replace P. Spitéri with:
P. Spitéri France
Hongliang Liu China
Stefan Körkel Germany
Joel Andersson Sweden
Stephen E. Zitney United States
Guotao Wang China
Wagner F. Sacco Brazil
Jingwei Liang China
Jietae Lee South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Chao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chao 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 Chao Ding Line = papers co-authored together Chao Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200754
2 201245
3 201342
4 202340
5 201726
6 202222
7 201618
8 201717
9 201417
10 202315
11 201715
12 202215
13 202414
14 201614
15 202311
16 202411
17 202011
18 20169
19 20239
20 20239

About Chao Ding

Chao Ding is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics, Numerical Analysis, Computational Mechanics and Control and Systems Engineering, having authored 72 papers that have together received 559 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (13 papers), Advanced Optimization Algorithms Research (13 papers), Optimization and Variational Analysis (10 papers), Microgrid Control and Optimization (7 papers), Microstructure and Mechanical Properties of Steels (5 papers), Advanced SAR Imaging Techniques (4 papers), Matrix Theory and Algorithms (4 papers) and HVDC Systems and Fault Protection (3 papers). The work is most often cited by research in Numerical Analysis (169 citations), Computational Theory and Mathematics (160 citations), Computational Mechanics (135 citations), Computational Mathematics (2 citations) and Energy Engineering and Power Technology (9 citations). Chao Ding has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Defeng Sun, Kim-Chuan Toh, Houduo Qi, Jane J. Ye, Liwei Zhang, Xinyuan Zhao, Jie Sun, Ying Cui, Shuai Mao and Mingzhu Xia. Their work appears in journals such as Computational Optimization and Applications, Mathematical Programming, SIAM Journal on Optimization, Journal of Materials Research and Technology and Frontiers in Energy Research.

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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