Li Jin

575 citations
34 papers · 306 · h-index 9

Impact in

    • Transportation Planning and Optimization
    • Autonomous Vehicle Technology and Safety
    • Transportation and Mobility Innovations
    • Vehicle emissions and performance

Papers in

Li Jin

31 papers receiving 295 citations

Peers

Li Jin
Comparison fields: 5 of 60
  • Transportation 86
  • Automotive Engineering 101
  • Control and Systems Engineering 163
  • Building and Construction 66
  • Aerospace Engineering 59
Replace Gang Zhong with:
Gang Zhong China
Shaowu Cheng China
Wim Ectors Belgium
Henry S. L. Fan Singapore
Aleksandar Bauranov United States
Emily Farrar Canada
Bizhao Pang Singapore
David P. Thipphavong United States
Rosa M. Oseguera-Lohr United States
Javier A. Pérez–Castán Spain
Li Jin relative to Gang Zhong China Gang Zhong's profile →
Citations per field
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Gang Zhong · 1×
Citations per year

Countries citing papers authored by Li Jin

Since Specialization
Citations

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

Fields of papers citing papers by Li Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201342
2 202240
3 202038
4 202128
5 201820
6 202019
7 201811
8 20189
9 20248
10 20228
11 20188
12 20188
13 20148
14 20107
15 20226
16 20156
17 20175
18 20235
19 20095
20
Calibration of a Macroscopic Traffic Flow Model with Stochastic Saturation Rates
20174

About Li Jin

Li Jin is a scholar working on Control and Systems Engineering, Transportation, Automotive Engineering, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 34 papers that have together received 306 indexed citations. Recurring topics across this work include Traffic control and management (18 papers), Transportation Planning and Optimization (9 papers), Traffic Prediction and Management Techniques (4 papers), Traffic and Road Safety (4 papers), Advanced Queuing Theory Analysis (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Air Traffic Management and Optimization (3 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Transportation (86 citations), Automotive Engineering (101 citations), Control and Systems Engineering (163 citations), Building and Construction (66 citations) and Aerospace Engineering (59 citations). Li Jin has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Saurabh Amin, Dengfeng Sun, Yi Cao, Karl Henrik Johansson, Yaofeng Desmond Zhong, Biswadip Dey, Joseph Y.J. Chow, Xiao Wang, Hao Yu and Yu Tang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part B Methodological, IEEE Transactions on Control Systems Technology and Chinese Physics C.

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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