Xiaofei Pei

1.8k citations
75 papers · 1.3k · h-index 18

Impact in

Papers in

Xiaofei Pei

68 papers receiving 1.2k citations

Peers

Xiaofei Pei
Comparison fields: 5 of 146
  • Automotive Engineering 412
  • General Health Professions 397
  • Radiological and Ultrasound Technology 60
  • Control and Systems Engineering 258
  • Applied Psychology 45
Replace Alan Stevens with:
Alan Stevens United States
Yulan Liang United States
Wen‐Chieh Lin Taiwan
Xin Gu China
Jeff K. Caird Canada
Frank Knoefel Canada
Michael Keall New Zealand
Richard J. Hanowski United States
Joanne Lim Malaysia
Stuart Newstead Australia
Xiaofei Pei relative to Alan Stevens United States Alan Stevens's profile →
Citations per field
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Alan Stevens · 1×
Citations per year

Countries citing papers authored by Xiaofei Pei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009329
2 2012137
3 201064
4 202161
5 201056
6 200854
7 202150
8 201942
9 200939
10 202038
11 202335
12 202231
13 202227
14 202020
15 201920
16 202218
17 201918
18 201217
19 202015
20 202015

About Xiaofei Pei

Xiaofei Pei is a scholar working on Automotive Engineering, Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and General Health Professions, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (30 papers), Autonomous Vehicle Technology and Safety (24 papers), Traffic control and management (15 papers), Electric and Hybrid Vehicle Technologies (15 papers), Hydraulic and Pneumatic Systems (14 papers), Robotic Path Planning Algorithms (11 papers), Workplace Health and Well-being (8 papers) and Reinforcement Learning in Robotics (7 papers). The work is most often cited by research in Automotive Engineering (412 citations), General Health Professions (397 citations), Radiological and Ultrasound Technology (60 citations), Control and Systems Engineering (258 citations) and Applied Psychology (45 citations). Xiaofei Pei has collaborated with scholars based in China, United States and India. Frequent co-authors include Ron Z. Goetzel, Xuexun Guo, Maryam Tabrizi, Meghan E. Short, Mark G. Wilson, Zhenfu Chen, Ronald J. Ozminkowski, Teresa B. Gibson, Chaoxian Wu and Rachel Mosher Henke. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Occupational and Environmental Medicine, International Journal of Vehicle Design, Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering and IET Intelligent Transport Systems.

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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