Mingjun Li

1.6k citations
68 papers · 1.2k · h-index 17

Impact in

Papers in

Mingjun Li

63 papers receiving 1.2k citations

Peers

Mingjun Li
Comparison fields: 5 of 120
  • Automotive Engineering 312
  • Organizational Behavior and Human Resource Management 202
  • Social Psychology 329
  • Safety, Risk, Reliability and Quality 120
  • Control and Systems Engineering 291
Replace Xu-Hua Yang with:
Xu-Hua Yang China
Steven Henderson United Kingdom
Linda G. Pierce United States
Sheue‐Ling Hwang Taiwan
Andrew May United Kingdom
Daniel Jenkins United States
R. A. Hess United States
Morten Fjeld Sweden
Bridget Kane Ireland
Mingjun Li relative to Xu-Hua Yang China Xu-Hua Yang's profile →
Citations per field
00.5×7.3×
Xu-Hua Yang · 1×
Citations per year

Countries citing papers authored by Mingjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 2016125
3 2018112
4 2019106
5 201886
6 201573
7 202168
8 202045
9 201843
10 201438
11 202130
12 201325
13 202024
14 202222
15 201820
16 202017
17 202116
18 202214
19 202214
20 202013

About Mingjun Li

Mingjun Li is a scholar working on Control and Systems Engineering, Automotive Engineering, Social Psychology, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Vehicle Dynamics and Control Systems (10 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Human-Automation Interaction and Safety (6 papers), Adaptive Control of Nonlinear Systems (6 papers), Traffic control and management (6 papers), Robotic Path Planning Algorithms (5 papers) and Traffic and Road Safety (4 papers). The work is most often cited by research in Automotive Engineering (312 citations), Organizational Behavior and Human Resource Management (202 citations), Social Psychology (329 citations), Safety, Risk, Reliability and Quality (120 citations) and Control and Systems Engineering (291 citations). Mingjun Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhenhong Wang, Xiaolin Song, Haotian Cao, Jie Gao, Xuqun You, Song Zhao, Jianqiang Wang, Ya Liu, Yanjun Huang and Lu Liu. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Phytomedicine, International Journal for Numerical Methods in Fluids, IEEE Transactions on Intelligent Transportation Systems and Vehicle System Dynamics.

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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