Ning Zhou

3.4k citations
120 papers · 2.3k · h-index 23

Impact in

Papers in

Ning Zhou

107 papers receiving 2.3k citations

Peers

Ning Zhou
Comparison fields: 5 of 116
  • Control and Systems Engineering 1.2k
  • Electrical and Electronic Engineering 1.8k
  • Safety, Risk, Reliability and Quality 263
  • Energy Engineering and Power Technology 50
  • Artificial Intelligence 401
Replace John W. Pierre with:
John W. Pierre United States
Dmitry Kosterev United States
Zhenyu Huang United States
Luigi Vanfretti Sweden
Daniel Trudnowski United States
Junjian Qi United States
Paolo Attilio Pegoraro Italy
Marcos Netto United States
Carlo Muscas Italy
Saikat Chakrabarti India
Ning Zhou relative to John W. Pierre United States John W. Pierre's profile →
Citations per field
00.5×1.5×2.5×
John W. Pierre · 1×
Citations per year

Countries citing papers authored by Ning Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ning Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017248
2 2008202
3 2014175
4 2007148
5 2013127
6 201185
7 200572
8 201266
9 200959
10 201051
11 201449
12 202047
13 201646
14 201444
15 201542
16 200937
17 201535
18 201031
19 201830
20 201530

About Ning Zhou

Ning Zhou is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence and Civil and Structural Engineering, having authored 120 papers that have together received 2.3k indexed citations. Recurring topics across this work include Power System Optimization and Stability (76 papers), Power System Reliability and Maintenance (23 papers), Power Systems Fault Detection (21 papers), Optimal Power Flow Distribution (21 papers), Energy Load and Power Forecasting (21 papers), Vibration and Dynamic Analysis (9 papers), Fault Detection and Control Systems (9 papers) and Structural Health Monitoring Techniques (8 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Electrical and Electronic Engineering (1.8k citations), Safety, Risk, Reliability and Quality (263 citations), Energy Engineering and Power Technology (50 citations) and Artificial Intelligence (401 citations). Ning Zhou has collaborated with scholars based in United States, China and India. Frequent co-authors include John W. Pierre, Daniel Trudnowski, Zhenyu Huang, Shahrokh Akhlaghi, Da Meng, Zhenyu Huang, W.A. Mittelstadt, Shuai Lu, Greg Welch and Ross Guttromson. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IET Generation Transmission & Distribution, IEEE Access and Energies.

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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