Yangxin Lin
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
Papers in
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- Transportation Planning and Optimization 6
- Human Mobility and Location-Based Analysis 2
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- Traffic Prediction and Management Techniques 6
- Co-authors
- Meng Ma (5 shared papers)Ping Wang (3 shared papers)Yang Zhou (3 shared papers)Haotian Shi (1 shared paper)Bin Ran (2 shared papers)Xin Wang (1 shared paper)Ping Wang (6 shared papers)Fan Ding (2 shared papers)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (2 papers)Transportation Research Part D Transport and Environment (1 paper)Transportation Research Part C Emerging Technologies (1 paper)Neurocomputing (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Yangxin Lin
11 papers receiving 378 citations
Peers
Comparison fields: 5 of 58
- Transportation 116
- Automotive Engineering 144
- Building and Construction 161
- Control and Systems Engineering 195
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Yangxin Lin
This map shows the geographic impact of Yangxin Lin'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 Yangxin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangxin Lin more than expected).
Fields of papers citing papers by Yangxin Lin
This network shows the impact of papers produced by Yangxin Lin. 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 Yangxin Lin. The network helps show where Yangxin Lin may publish in the future.
Co-authors
The 24 scholars most cited alongside Yangxin Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 123 | |
| 2 | 2021 | 106 | |
| 3 | 2020 | 50 | |
| 4 | 2020 | 35 | |
| 5 | 2017 | 32 | |
| 6 | 2018 | 13 | |
| 7 | 2013 | 10 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2017 | 3 | |
| 11 | 2015 | 2 |
About Yangxin Lin
Yangxin Lin is a scholar working on Transportation, Building and Construction, Control and Systems Engineering, Automotive Engineering and Artificial Intelligence, having authored 11 papers that have together received 385 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (6 papers), Traffic Prediction and Management Techniques (6 papers), Traffic control and management (5 papers), Human Mobility and Location-Based Analysis (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Semantic Web and Ontologies (1 paper), Time Series Analysis and Forecasting (1 paper) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Transportation (116 citations), Automotive Engineering (144 citations), Building and Construction (161 citations), Control and Systems Engineering (195 citations) and Industrial and Manufacturing Engineering (28 citations). Yangxin Lin has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Meng Ma, Ping Wang, Yang Zhou, Haotian Shi, Bin Ran, Xin Wang, Ping Wang, Fan Ding, Huachun Tan and Lihua Duan. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part D Transport and Environment, Transportation Research Part C Emerging Technologies, Neurocomputing and Lecture notes in computer science.
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.