Li Quan

4.4k citations
176 papers · 3.4k · h-index 34

Impact in

Papers in

Li Quan

164 papers receiving 3.4k citations

Peers

Li Quan
Comparison fields: 5 of 57
  • Control and Systems Engineering 2.3k
  • Electronic, Optical and Magnetic Materials 1.1k
  • Electrical and Electronic Engineering 3.1k
  • Mechanical Engineering 837
  • Automotive Engineering 207
Replace Byung‐il Kwon with:
Byung‐il Kwon South Korea
Paolo Giangrande United Kingdom
Michele Degano United Kingdom
Rafał Wróbel United Kingdom
Gianmario Pellegrino Italy
Wen L. Soong Australia
Mahesh Krishnamurthy United States
Silvio Vaschetto Italy
Berker Bilgin Canada
Zebin Yang China
Li Quan relative to Byung‐il Kwon South Korea Byung‐il Kwon's profile →
Citations per field
00.5×1.5×2.0×
Byung‐il Kwon · 1×
Citations per year

Countries citing papers authored by Li Quan

Since Specialization
Citations

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

Fields of papers citing papers by Li Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 2016151
3 2018136
4 2018130
5 2016121
6 2017116
7 2018110
8 201897
9 202086
10 201883
11 201976
12 201971
13 201670
14 201570
15 201163
16 201061
17 202159
18 201257
19 202052
20 202252

About Li Quan

Li Quan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Automotive Engineering, having authored 176 papers that have together received 3.4k indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (141 papers), Magnetic Bearings and Levitation Dynamics (117 papers), Magnetic Properties and Applications (50 papers), Sensorless Control of Electric Motors (36 papers), Induction Heating and Inverter Technology (26 papers), Wireless Power Transfer Systems (17 papers), Multilevel Inverters and Converters (10 papers) and Magnetic Field Sensors Techniques (9 papers). The work is most often cited by research in Control and Systems Engineering (2.3k citations), Electronic, Optical and Magnetic Materials (1.1k citations), Electrical and Electronic Engineering (3.1k citations), Mechanical Engineering (837 citations) and Automotive Engineering (207 citations). Li Quan has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Xiaoyong Zhu, Zixuan Xiang, Yi Du, Deyang Fan, Chao Zhang, Wenye Wu, Wei Hua, Lihong Mo, Yunyun Chen and Ming Cheng. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Applied Superconductivity, IEEE Transactions on Transportation Electrification and IEEE Transactions on Energy Conversion.

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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