Mingqiang Wang

937 citations
74 papers · 650 · h-index 14

Impact in

Papers in

Mingqiang Wang

59 papers receiving 639 citations

Peers

Mingqiang Wang
Comparison fields: 5 of 56
  • Energy Engineering and Power Technology 74
  • Control and Systems Engineering 279
  • Electrical and Electronic Engineering 481
  • Safety, Risk, Reliability and Quality 46
  • Automotive Engineering 37
Replace Wu Jiekang with:
Wu Jiekang China
Junpeng Zhan China
Ali Jahanbani Ardakani United States
Dongdong Li China
Moein Manbachi Canada
Junhui Huang China
Jako Kilter Estonia
Yaowu Wu China
Yazhou Jiang United States
Xiaoli Meng China
Mingqiang Wang relative to Wu Jiekang China Wu Jiekang's profile →
Citations per field
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Wu Jiekang · 1×
Citations per year

Countries citing papers authored by Mingqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 202092
3 202251
4 202044
5 201834
6 202130
7 201830
8 202229
9 201724
10 202417
11 201616
12 202216
13 201215
14 201515
15 201510
16 20189
17 20219
18 20189
19 20188
20 20167

About Mingqiang Wang

Mingqiang Wang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Energy Engineering and Power Technology and Information Systems, having authored 74 papers that have together received 650 indexed citations. Recurring topics across this work include Electric Power System Optimization (34 papers), Optimal Power Flow Distribution (34 papers), Microgrid Control and Optimization (20 papers), Power System Reliability and Maintenance (17 papers), Smart Grid Energy Management (16 papers), Energy Load and Power Forecasting (12 papers), Power Systems and Renewable Energy (7 papers) and Power Systems and Technologies (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (74 citations), Control and Systems Engineering (279 citations), Electrical and Electronic Engineering (481 citations), Safety, Risk, Reliability and Quality (46 citations) and Automotive Engineering (37 citations). Mingqiang Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ming Yang, Anping Zhou, Xueshan Han, Mengxia Wang, Ke‐Jun Li, Ke Li, Wei‐Jen Lee, Yumin Zhang, Chenghui Zhang and Jun Zhang. Their work appears in journals such as IEEE Transactions on Industry Applications, International Journal of Electrical Power & Energy Systems, Journal of Modern Power Systems and Clean Energy, Energies and IEEE Transactions on Power Systems.

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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