Lingxi Li
- Automotive Engineering top 0.5%
- Autonomous Vehicle Technology and Safety 48
- Vehicle Dynamics and Control Systems 18
- Transportation top 2%
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- Traffic control and management 34
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- Traffic Prediction and Management Techniques 25
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- Petri Nets in System Modeling 25
- Formal Methods in Verification 17
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- Traffic and Road Safety 20
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- Business Process Modeling and Analysis 14
- Co-authors
- Fei‐Yue WangXiao WangLong ChenChristoforos N. HadjicostisYaobin ChenDewang ChenLi LiJiateng Yin
- Journals
- IEEE Transactions on Intelligent Vehicles (17 papers)IEEE Transactions on Intelligent Transportation Systems (14 papers)IEEE/CAA Journal of Automatica Sinica (13 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lingxi Li
165 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Automotive Engineering 892
- Industrial and Manufacturing Engineering 385
- Transportation 260
- Control and Systems Engineering 808
- Computer Vision and Pattern Recognition 632
Countries citing papers authored by Lingxi Li
This map shows the geographic impact of Lingxi Li'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 Lingxi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingxi Li more than expected).
Fields of papers citing papers by Lingxi Li
This network shows the impact of papers produced by Lingxi Li. 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 Lingxi Li. The network helps show where Lingxi Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lingxi Li, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 34 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 15 | |
| 12 | 2024 | 38 | |
| 13 | 2023 | 30 | |
| 14 | 2023 | 23 | |
| 15 | 2022 | 33 | |
| 16 | 2020 | 61 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 1 | |
| 19 | 2014 | 36 | |
| 20 | 2012 | 30 |
About Lingxi Li
Lingxi Li is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Building and Construction and Computational Theory and Mathematics, having authored 187 papers that have together received 3.1k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (48 papers), Traffic control and management (34 papers), Traffic Prediction and Management Techniques (25 papers), Petri Nets in System Modeling (25 papers), Traffic and Road Safety (20 papers), Vehicle Dynamics and Control Systems (18 papers), Formal Methods in Verification (17 papers) and Business Process Modeling and Analysis (14 papers). The work is most often cited by research in Automotive Engineering (892 citations), Industrial and Manufacturing Engineering (385 citations), Transportation (260 citations), Control and Systems Engineering (808 citations) and Computer Vision and Pattern Recognition (632 citations). Lingxi Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Fei‐Yue Wang, Xiao Wang, Long Chen, Christoforos N. Hadjicostis, Yaobin Chen, Dewang Chen, Li Li, Jiateng Yin, Yunfeng Ai and Siyu Teng. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, IEEE Transactions on Intelligent Transportation Systems, IEEE/CAA Journal of Automatica Sinica, IEEE Intelligent Transportation Systems Magazine and IEEE Transactions on Automatic Control.
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.