Xiaolin Song

63 papers receiving 1.1k citations

Peers

Xiaolin Song
Comparison fields: 5 of 82
  • Automotive Engineering 601
  • Safety, Risk, Reliability and Quality 175
  • Control and Systems Engineering 442
  • Social Psychology 209
  • Fuel Technology 8
Replace Haotian Cao with:
Haotian Cao China
Arno Eichberger Austria
Fabio Tango Italy
Katherine Driggs-Campbell United States
Lisheng Jin China
Clara Marina Martínez United Kingdom
Frank Diermeyer Germany
Ashwin Carvalho United States
Jian Zhao China
Barys Shyrokau Netherlands
Xiaolin Song relative to Haotian Cao China Haotian Cao's profile →
Citations per field
00.5×1.6×
Haotian Cao · 1×
Citations per year

Countries citing papers authored by Xiaolin Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018112
2 2019106
3 201885
4 202168
5 201766
6 202045
7 201843
8 201539
9 201736
10 202130
11 201325
12 202222
13 202222
14 202221
15 201820
16 201520
17 202318
18 202218
19 201818
20 202017

About Xiaolin Song

Xiaolin Song is a scholar working on Automotive Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Social Psychology and Safety, Risk, Reliability and Quality, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (23 papers), Vehicle Dynamics and Control Systems (15 papers), Traffic control and management (14 papers), Human-Automation Interaction and Safety (13 papers), Robotic Path Planning Algorithms (12 papers), Traffic and Road Safety (11 papers), Transportation and Mobility Innovations (3 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Automotive Engineering (601 citations), Safety, Risk, Reliability and Quality (175 citations), Control and Systems Engineering (442 citations), Social Psychology (209 citations) and Fuel Technology (8 citations). Xiaolin Song has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Haotian Cao, Mingjun Li, Song Zhao, Zhi Huang, Jianqiang Wang, Chuan Hu, Yanjun Huang, Shan Bao, Hong Wang and Jiang Huang. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Vehicle System Dynamics, Transportation Research Part F Traffic Psychology and Behaviour, IEEE Transactions on Vehicular Technology and Accident Analysis & Prevention.

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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