Kun Bai

1.2k citations
74 papers · 879 · h-index 17

Impact in

Papers in

Kun Bai

70 papers receiving 861 citations

Peers

Kun Bai
Comparison fields: 5 of 87
  • Control and Systems Engineering 260
  • Aerospace Engineering 207
  • Mechanical Engineering 230
  • Biomedical Engineering 244
  • Electrical and Electronic Engineering 297
Replace Houde Liu with:
Houde Liu China
R. Madhavan India
Chin-Yin Chen China
Tamio Tanikawa Japan
Donghyun Kim United States
Yanding Qin China
Gim Song Soh Singapore
Brahim Tamadazte France
Cédric Clévy France
Kun Bai relative to Houde Liu China Houde Liu's profile →
Citations per field
00.5×3.4×
Houde Liu · 1×
Citations per year

Countries citing papers authored by Kun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Kun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 201361
3 202155
4 200955
5 201848
6 201139
7 201636
8 201636
9 201032
10 201830
11 201327
12 201826
13 202122
14 201220
15 202318
16 202417
17 202017
18 201914
19 202214
20 202113

About Kun Bai

Kun Bai is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 74 papers that have together received 879 indexed citations. Recurring topics across this work include Soft Robotics and Applications (9 papers), Infrared Target Detection Methodologies (7 papers), Inertial Sensor and Navigation (7 papers), Advanced Measurement and Detection Methods (7 papers), Electric Motor Design and Analysis (7 papers), Non-Destructive Testing Techniques (6 papers), Magnetic Properties and Applications (6 papers) and Advanced machining processes and optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (260 citations), Aerospace Engineering (207 citations), Mechanical Engineering (230 citations), Biomedical Engineering (244 citations) and Electrical and Electronic Engineering (297 citations). Kun Bai has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Kok-Meng Lee, Yuehuan Wang, William Singhose, Shaohui Foong, YongAn Huang, Zhenghua Huang, Huayong Yang, Jingjing Ji, Jiajie Guo and Kok-Meng Lee. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, Metallurgical and Materials Transactions B, IEEE Transactions on Industrial Electronics, Mechatronics and IEEE Transactions on Robotics.

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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