Ming Dong

78 total papers · 862 total citations
44 papers, 625 citations indexed

About

Ming Dong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Ming Dong has authored 44 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 11 papers in Control and Systems Engineering and 9 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Ming Dong's work include Energy Load and Power Forecasting (10 papers), Power System Reliability and Maintenance (7 papers) and High voltage insulation and dielectric phenomena (5 papers). Ming Dong is often cited by papers focused on Energy Load and Power Forecasting (10 papers), Power System Reliability and Maintenance (7 papers) and High voltage insulation and dielectric phenomena (5 papers). Ming Dong collaborates with scholars based in China, Canada and United States. Ming Dong's co-authors include Wilsun Xu, Paulo C. M. Meira, Walmir Freitas, Alexandre B. Nassif, Gengda Li, Richard L. Axelbaum, Qiang Yao, Shuiqing Li, Yunwei Li and Wenyuan Li and has published in prestigious journals such as IEEE Transactions on Power Systems, Fuel and Energy.

In The Last Decade

Ming Dong

40 papers receiving 608 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming Dong 342 171 88 79 58 44 625
Ao Liu 221 0.6× 37 0.2× 102 1.2× 231 2.9× 16 0.3× 72 723
Kharudin Ali 221 0.6× 69 0.4× 37 0.4× 46 0.6× 18 0.3× 41 787
Fan Li 193 0.6× 103 0.6× 29 0.3× 162 2.1× 79 1.4× 45 592
James Martin 234 0.7× 122 0.7× 28 0.3× 40 0.5× 25 0.4× 58 729
Shengchun Wang 86 0.3× 35 0.2× 27 0.3× 146 1.8× 16 0.3× 64 608
Chong Tak Yaw 277 0.8× 133 0.8× 72 0.8× 74 0.9× 17 0.3× 58 649
Yanfeng Xing 107 0.3× 41 0.2× 58 0.7× 128 1.6× 14 0.2× 62 662
Xiang Pan 406 1.2× 132 0.8× 97 1.1× 83 1.1× 75 1.3× 47 761
He Ma 58 0.2× 72 0.4× 65 0.7× 41 0.5× 20 0.3× 36 596
Zheng Wang 115 0.3× 124 0.7× 32 0.4× 213 2.7× 7 0.1× 61 739

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-authorship network of co-authors of Ming Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Dong. A scholar is included among the top collaborators of Ming Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Dong. Ming Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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