Yu-Ling He

2k citations
164 papers · 1.5k · h-index 21

Impact in

Papers in

Yu-Ling He

144 papers receiving 1.4k citations

Peers

Yu-Ling He
Comparison fields: 5 of 63
  • Control and Systems Engineering 702
  • Electrical and Electronic Engineering 608
  • Fuel Technology 12
  • Energy Engineering and Power Technology 11
  • Safety, Risk, Reliability and Quality 38
Replace Zhenyu Huang with:
Zhenyu Huang United States
Enjie Ding China
Hui Lin Ge China
Kyusung Kim South Korea
Ting Hao Tang China
Rui Liang China
Longhua Mu China
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Citations per field
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Zhenyu Huang · 1×
Citations per year

Countries citing papers authored by Yu-Ling He

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ling He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ling He. 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 Yu-Ling He. The network helps show where Yu-Ling He may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012113
2 201678
3 202048
4 202040
5 201536
6 202032
7 202132
8 202129
9 201628
10 201627
11 201627
12 201927
13 201927
14 202424
15 202023
16 202023
17 202023
18 202422
19 201521
20 202221

About Yu-Ling He

Yu-Ling He is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 164 papers that have together received 1.5k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (70 papers), Machine Fault Diagnosis Techniques (56 papers), Electric Power System Optimization (11 papers), Microgrid Control and Optimization (8 papers), Power System Reliability and Maintenance (6 papers), Reliability and Maintenance Optimization (6 papers), Power Line Inspection Robots (5 papers) and Integrated Energy Systems Optimization (3 papers). The work is most often cited by research in Control and Systems Engineering (702 citations), Electrical and Electronic Engineering (608 citations), Fuel Technology (12 citations), Energy Engineering and Power Technology (11 citations) and Safety, Risk, Reliability and Quality (38 citations). Yu-Ling He has collaborated with scholars based in China, United Kingdom and Belgium. Frequent co-authors include Xiaolong Wang, Guiji Tang, Shuting Wan, David Gerada, Xiong Zhang, Ming‐Xing Xu, Chris Gerada, Chunming Xu, Xuewei Wu and Keng H. Chung. Their work appears in journals such as Electronics, Energies, IEEE Transactions on Industrial Electronics, IET Electric Power Applications and IEEE Access.

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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