Xiaolin Song

1.4k citations
70 papers · 1.0k · h-index 17

Impact in

Papers in

Xiaolin Song

63 papers receiving 993 citations

Peers

Xiaolin Song
Comparison fields: 5 of 81
  • Automotive Engineering 578
  • Control and Systems Engineering 423
  • Safety, Risk, Reliability and Quality 164
  • Social Psychology 202
  • Computer Vision and Pattern Recognition 186
Replace Haotian Cao with:
Haotian Cao China
Lie Guo China
Duanfeng Chu China
Katherine Driggs-Campbell United States
Clara Marina Martínez United Kingdom
Ashwin Carvalho United States
Jian Zhao China
Frank Diermeyer Germany
Fabio Tango Italy
Cristina Olaverri-Monreal Austria
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 2018107
2 201997
3 201884
4 202164
5 201764
6 201843
7 201539
8 202038
9 201735
10 202128
11 201324
12 202221
13 201520
14 201820
15 202218
16 202017
17 201817
18 202216
19 202216
20 202316

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 1.0k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (24 papers), Vehicle Dynamics and Control Systems (15 papers), Traffic control and management (13 papers), Human-Automation Interaction and Safety (13 papers), Traffic and Road Safety (12 papers), Robotic Path Planning Algorithms (12 papers), Transportation and Mobility Innovations (3 papers) and Advanced Sensor and Control Systems (3 papers). The work is most often cited by research in Automotive Engineering (578 citations), Control and Systems Engineering (423 citations), Safety, Risk, Reliability and Quality (164 citations), Social Psychology (202 citations) and Computer Vision and Pattern Recognition (186 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 Yechen Qin. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Transportation Research Part F Traffic Psychology and Behaviour, Vehicle System Dynamics, IEEE Transactions on Vehicular Technology 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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