Ming Zhou

5.9k citations
315 papers · 4.2k · h-index 31

Impact in

Papers in

Ming Zhou

291 papers receiving 4.0k citations

Peers

Ming Zhou
Comparison fields: 5 of 121
  • Energy Engineering and Power Technology 394
  • Control and Systems Engineering 1.3k
  • Electrical and Electronic Engineering 3.1k
  • Safety, Risk, Reliability and Quality 320
  • Automotive Engineering 254
Replace Cheng Wang with:
Cheng Wang China
Haiwang Zhong China
Md Shafiullah Saudi Arabia
Khaled Shaban Qatar
Jie Yan China
Adel Gastli Qatar
Shouxiang Wang China
Carl D. Laird United States
Guoqiang Sun China
Ming Zhou relative to Cheng Wang China Cheng Wang's profile →
Citations per field
00.5×2.8×
Cheng Wang · 1×
Citations per year

Countries citing papers authored by Ming Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 315 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017263
2 2007225
3 2018171
4
Sensor Network Optimization Using a Genetic Algorithm
2003143
5 2021125
6 2019108
7 2016105
8 200688
9 202277
10 202076
11 201773
12 201866
13 201465
14 202063
15 202058
16 201855
17 201951
18 202251
19 201951
20 202048

About Ming Zhou

Ming Zhou is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Energy Engineering and Power Technology and Artificial Intelligence, having authored 315 papers that have together received 4.2k indexed citations. Recurring topics across this work include Electric Power System Optimization (77 papers), Smart Grid Energy Management (54 papers), Microgrid Control and Optimization (44 papers), Power System Reliability and Maintenance (43 papers), Power Systems and Renewable Energy (41 papers), Optimal Power Flow Distribution (39 papers), Integrated Energy Systems Optimization (36 papers) and Energy Load and Power Forecasting (33 papers). The work is most often cited by research in Energy Engineering and Power Technology (394 citations), Control and Systems Engineering (1.3k citations), Electrical and Electronic Engineering (3.1k citations), Safety, Risk, Reliability and Quality (320 citations) and Automotive Engineering (254 citations). Ming Zhou has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gengyin Li, Jianxiao Wang, Zhaoyuan Wu, Ming Yin, Chengyong Zhao, Shiyuan Jin, Annie S. Wu, Guodong Li, Qing Xia and Junyi Zhai. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, IEEE Transactions on Power Systems, Energies, IEEE Transactions on Industry Applications and CSEE Journal of Power and Energy 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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