Ming Ding

1.0k citations
45 papers · 719 · h-index 13

Impact in

Papers in

Ming Ding

42 papers receiving 669 citations

Peers

Ming Ding
Comparison fields: 5 of 71
  • Energy Engineering and Power Technology 40
  • Electrical and Electronic Engineering 523
  • Control and Systems Engineering 155
  • Safety, Risk, Reliability and Quality 49
  • Signal Processing 50
Replace Xiangzhen Li with:
Xiangzhen Li China
Jeremy Lin United States
Massoud Amin United States
John D. McDonald Australia
Sakis Meliopoulos United States
Subhonmesh Bose United States
Mikhail A. Bragin United States
FF Wu Hong Kong
Mingguo Hong United States
Ming Ding relative to Xiangzhen Li China Xiangzhen Li's profile →
Citations per field
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Xiangzhen Li · 1×
Citations per year

Countries citing papers authored by Ming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002121
2 2008109
3 200581
4 200156
5 201636
6 201933
7 200326
8 200821
9 201217
10 201016
11 201615
12 202413
13 200913
14 201111
15 202010
16 202510
17 202210
18 201910
19 202210
20 20239

About Ming Ding

Ming Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Control and Systems Engineering, Energy Engineering and Power Technology and Safety, Risk, Reliability and Quality, having authored 45 papers that have together received 719 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (11 papers), HVDC Systems and Fault Protection (9 papers), Optimal Power Flow Distribution (9 papers), Cooperative Communication and Network Coding (8 papers), Advanced Wireless Communication Techniques (7 papers), Power System Reliability and Maintenance (7 papers), Advanced MIMO Systems Optimization (6 papers) and Power Systems and Renewable Energy (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (40 citations), Electrical and Electronic Engineering (523 citations), Control and Systems Engineering (155 citations), Safety, Risk, Reliability and Quality (49 citations) and Signal Processing (50 citations). Ming Ding has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jehoshua Eliashberg, Behrouz Farhang‐Boroujeny, Guangfu Tang, Zhiyuan He, Brian L. Evans, Zhicheng Xu, C.R. Johnson, Richard K. Martin, Shenghu Li and Hongbin Wu. Their work appears in journals such as Journal of Modern Power Systems and Clean Energy, International Journal of Electrical Power & Energy Systems, IET Generation Transmission & Distribution, Energy and IEEE Access.

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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