Yu Gong

550 citations
18 papers · 444 · h-index 7

Impact in

Papers in

Yu Gong

17 papers receiving 427 citations

Peers

Yu Gong
Comparison fields: 5 of 17
  • Control and Systems Engineering 377
  • Electronic, Optical and Magnetic Materials 198
  • Electrical and Electronic Engineering 437
  • Mechanical Engineering 61
  • Automotive Engineering 7
Replace Nian Li with:
Nian Li China
Hyung-Il Park South Korea
You-Chiuan Hsu Taiwan
Zi Qiang Zhu United Kingdom
Zhentao S. Du United States
Shushu Zhu China
Ming Cheng China
Zixiang Yu China
W. Fei United Kingdom
N. S. Lobo United States
Yu Gong relative to Nian Li China Nian Li's profile →
Citations per field
00.5×1.5×2.2×
Nian Li · 1×
Citations per year

Countries citing papers authored by Yu Gong

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009151
2 201363
3 200959
4 201154
5 200943
6 201134
7 201915
8 20094
9 20114
10 20093
11 20153
12 20063
13 20092
14 20022
15 20062
16 20061
17 20061
18 20130

About Yu Gong

Yu Gong is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Computational Theory and Mathematics and Mechanical Engineering, having authored 18 papers that have together received 444 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (15 papers), Magnetic Bearings and Levitation Dynamics (10 papers), Magnetic Properties and Applications (10 papers), Sensorless Control of Electric Motors (3 papers), Petri Nets in System Modeling (2 papers), Fault Detection and Control Systems (2 papers), Multilevel Inverters and Converters (1 paper) and Electromagnetic Simulation and Numerical Methods (1 paper). The work is most often cited by research in Control and Systems Engineering (377 citations), Electronic, Optical and Magnetic Materials (198 citations), Electrical and Electronic Engineering (437 citations), Mechanical Engineering (61 citations) and Automotive Engineering (7 citations). Yu Gong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Linni Jian, K. T. Chau, Wenlong Li, Chuang Yu, J. Z. Jiang, C.C. Chan, Yujun Shi, Guoqing Xu, Cheng Liu and J.Z. Jiang. Their work appears in journals such as IEEE Transactions on Magnetics, Mathematics and Computers in Simulation, Electromagnetic waves, IEEE Transactions on Industrial Electronics and Journal of Applied Physics.

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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