Wang Chun

171 papers receiving 1.3k citations

Peers

Wang Chun
Comparison fields: 5 of 142
  • Acoustics and Ultrasonics 21
  • Management Science and Operations Research 146
  • Automotive Engineering 122
  • Industrial and Manufacturing Engineering 73
  • Computer Networks and Communications 158
Replace Xun Wang with:
Xun Wang China
R. Srinivasan United States
Lin Wang China
Yajun Wang China
Yi Hu China
Haijun Li China
Peng Chen China
Da Zhang China
Sung‐Jin Cho South Korea
Wang Chun relative to Xun Wang China Xun Wang's profile →
Citations per field
00.5×6.8×
Xun Wang · 1×
Citations per year

Countries citing papers authored by Wang Chun

Since Specialization
Citations

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

Fields of papers citing papers by Wang Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201255
3 200250
4 201948
5 201945
6 201941
7 201937
8 200734
9 201733
10 201432
11 201329
12 202128
13 201626
14 200825
15 202025
16 202424
17 201524
18 201923
19 202123
20 202021

About Wang Chun

Wang Chun is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Control and Systems Engineering and Automotive Engineering, having authored 195 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (17 papers), Nonlinear Optical Materials Studies (12 papers), Electric Vehicles and Infrastructure (7 papers), Advanced Computational Techniques and Applications (7 papers), Transportation Planning and Optimization (7 papers), Luminescence and Fluorescent Materials (6 papers), Photorefractive and Nonlinear Optics (6 papers) and Antenna Design and Analysis (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (21 citations), Management Science and Operations Research (146 citations), Automotive Engineering (122 citations), Industrial and Manufacturing Engineering (73 citations) and Computer Networks and Communications (158 citations). Wang Chun has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Luyang Hou, Weiming Shen, Jun Yan, Hamada Ghenniwa, Lisheng Chen, Fereshteh Mafakheri, Yangsheng Li, Chuan Tong, Yinan Guo and Terrence Wong. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies, Computers & Industrial Engineering, Journal of Tianjin University Science and Technology 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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