Dejun Yin

703 citations
54 papers · 559 · h-index 12

Impact in

Papers in

Dejun Yin

47 papers receiving 544 citations

Peers

Dejun Yin
Comparison fields: 5 of 42
  • Automotive Engineering 459
  • Control and Systems Engineering 296
  • Mechanical Engineering 173
  • Civil and Structural Engineering 77
  • Electrical and Electronic Engineering 113
Replace Bingtao Ren with:
Bingtao Ren China
Lin He China
Tianmin Sun China
Xiuheng Wu China
Hideo Sado Japan
Enrico Galvagno Italy
Haoling Ren China
Kada Hartani Algeria
Saeid Khosravani Canada
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Citations per field
00.5×4.9×
Bingtao Ren · 1×
Citations per year

Countries citing papers authored by Dejun Yin

Since Specialization
Citations

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

Fields of papers citing papers by Dejun Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 201063
3 201245
4 201934
5 201518
6 201418
7 200817
8 201415
9 202114
10 201714
11 201014
12 201412
13 201711
14 20099
15 20088
16 20178
17 20167
18 20097
19
MTTE-based motion stabilization control for in-wheel motor electric vehicles
20116
20 20096

About Dejun Yin

Dejun Yin is a scholar working on Control and Systems Engineering, Automotive Engineering, Electrical and Electronic Engineering, Mechanical Engineering and Electronic, Optical and Magnetic Materials, having authored 54 papers that have together received 559 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (30 papers), Electric and Hybrid Vehicle Technologies (30 papers), Real-time simulation and control systems (18 papers), Electric Motor Design and Analysis (13 papers), Magnetic Bearings and Levitation Dynamics (11 papers), Sensorless Control of Electric Motors (11 papers), Hydraulic and Pneumatic Systems (7 papers) and Magnetic Properties and Applications (5 papers). The work is most often cited by research in Automotive Engineering (459 citations), Control and Systems Engineering (296 citations), Mechanical Engineering (173 citations), Civil and Structural Engineering (77 citations) and Electrical and Electronic Engineering (113 citations). Dejun Yin has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Y. Hori, Sehoon Oh, Yoichi Hori, Jia‐Sheng Hu, Danfeng Shan, Jia Hu, Hiroshi Shimizu, Kai Zhang, Bo-Chiuan Chen and Jiaqiang Yang. Their work appears in journals such as International Journal of Automotive Technology, Applied Sciences, IEEE Industry Applications Magazine, IEEE Transactions on Industrial Informatics and Control Engineering Practice.

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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