Ming Dong

887 citations
44 papers · 649 · h-index 15

Impact in

Papers in

Ming Dong

40 papers receiving 633 citations

Peers

Ming Dong
Comparison fields: 5 of 82
  • Geochemistry and Petrology 45
  • Control and Systems Engineering 173
  • Safety, Risk, Reliability and Quality 59
  • Electrical and Electronic Engineering 348
  • Building and Construction 56
Replace Shengchun Wang with:
Shengchun Wang China
Yiming Huang China
Haoxiang Lang Canada
Sangwoo Park United Kingdom
Sumaya Ishrat Moyeen Bangladesh
Zhen Huang China
Chao Wei China
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Ming Dong relative to Shengchun Wang China Shengchun Wang's profile →
Citations per field
00.5×5.6×
Shengchun Wang · 1×
Citations per year

Countries citing papers authored by Ming Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012120
2 201290
3 201236
4 202331
5 202029
6 201829
7 200827
8 201627
9 202125
10 202222
11 202122
12 202020
13 202117
14 202216
15 201915
16 202113
17 202412
18 201612
19 202011
20 201910

About Ming Dong

Ming Dong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Materials Chemistry and Civil and Structural Engineering, having authored 44 papers that have together received 649 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Power System Reliability and Maintenance (7 papers), Power Systems Fault Detection (5 papers), Smart Grid Security and Resilience (5 papers), Power Transformer Diagnostics and Insulation (5 papers), High voltage insulation and dielectric phenomena (5 papers), Traffic Prediction and Management Techniques (3 papers) and Smart Grid Energy Management (3 papers). The work is most often cited by research in Geochemistry and Petrology (45 citations), Control and Systems Engineering (173 citations), Safety, Risk, Reliability and Quality (59 citations), Electrical and Electronic Engineering (348 citations) and Building and Construction (56 citations). Ming Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wilsun Xu, Paulo C. M. Meira, Walmir Freitas, Alexandre B. Nassif, Qiang Yao, Richard L. Axelbaum, Shuiqing Li, Gengda Li, Yunwei Li and Hong Qin. Their work appears in journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Power Delivery, IEEE Transactions on Power Systems, Fuel and IEEE Transactions on Plasma Science.

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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