Hongfa Ding

980 citations
91 papers · 728 · h-index 15

Impact in

Papers in

Hongfa Ding

81 papers receiving 707 citations

Peers

Hongfa Ding
Comparison fields: 5 of 56
  • Control and Systems Engineering 234
  • Electrical and Electronic Engineering 484
  • Energy Engineering and Power Technology 26
  • Aerospace Engineering 114
  • Nuclear and High Energy Physics 55
Replace Chang Chen with:
Chang Chen United States
Arthur F. Witulski United States
Bin Li China
Xinda Song China
A. Savini Italy
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Hongfa Ding relative to Chang Chen United States Chang Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hongfa Ding

Since Specialization
Citations

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

Fields of papers citing papers by Hongfa Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 201380
3 200235
4 201027
5 201822
6 202122
7 202019
8 202218
9 201618
10 201317
11 201617
12 201716
13 202015
14 201415
15 201615
16 201514
17 201714
18 201613
19 202213
20 201811

About Hongfa Ding

Hongfa Ding is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Aerospace Engineering, Control and Systems Engineering and Nuclear and High Energy Physics, having authored 91 papers that have together received 728 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (28 papers), Advanced DC-DC Converters (15 papers), Particle accelerators and beam dynamics (15 papers), Magnetic confinement fusion research (14 papers), Electromagnetic Launch and Propulsion Technology (12 papers), Transcranial Magnetic Stimulation Studies (9 papers), Microgrid Control and Optimization (9 papers) and Multilevel Inverters and Converters (9 papers). The work is most often cited by research in Control and Systems Engineering (234 citations), Electrical and Electronic Engineering (484 citations), Energy Engineering and Power Technology (26 citations), Aerospace Engineering (114 citations) and Nuclear and High Energy Physics (55 citations). Hongfa Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xianzhong Duan, Yun Xu, Yingmeng Xiang, Liang Li, Rui Yang, Tao Peng, Dongyuan Shi, Jinfu Chen, Yinhong Li and Houxiu Xiao. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Journal of Low Temperature Physics, IEEE Transactions on Power Electronics, AIP Advances and The International Journal of Advanced Manufacturing Technology.

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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