Guofa Li
Impact in
- Automotive Engineering top 0.2%
- Autonomous Vehicle Technology and Safety
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- Traffic and Road Safety
Papers in
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- Autonomous Vehicle Technology and Safety 42
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- Traffic and Road Safety 31
- Co-authors
- Xingda Qu (32 shared papers)Shengbo Eben Li (18 shared papers)Bo Cheng (17 shared papers)Dongpu Cao (15 shared papers)Shen Li (18 shared papers)Paul Green (16 shared papers)Keqiang Li (9 shared papers)Yongjie Lin (2 shared papers)
- Journals
- IEEE Sensors Journal (18 papers)IEEE Transactions on Intelligent Transportation Systems (13 papers)IEEE Access (8 papers)Automotive Innovation (8 papers)Accident Analysis & Prevention (7 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Guofa Li
172 papers receiving 4.5k citations
Guofa Li's Hit Papers
Peers
Comparison fields: 5 of 137
- Automotive Engineering 1.7k
- Safety, Risk, Reliability and Quality 880
- Computer Vision and Pattern Recognition 1.1k
- Control and Systems Engineering 963
- Social Psychology 809
Countries citing papers authored by Guofa Li
This map shows the geographic impact of Guofa 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 Guofa Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guofa Li more than expected).
Fields of papers citing papers by Guofa Li
This network shows the impact of papers produced by Guofa 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 Guofa Li. The network helps show where Guofa Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Guofa 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
Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness Hit paper breakdown → | 2021 | 209 |
| 2 | An infrared and visible image fusion method based on multi-scale transformation and norm optimization Hit paper breakdown → | 2021 | 195 |
| 3 | 2016 | 188 | |
| 4 | 2020 | 179 | |
| 5 | 2020 | 176 | |
| 6 | 2020 | 161 | |
| 7 | 2019 | 151 | |
| 8 | 2017 | 119 | |
| 9 | 2019 | 116 | |
| 10 | 2022 | 115 | |
| 11 | 2016 | 100 | |
| 12 | 2021 | 91 | |
| 13 | 2023 | 84 | |
| 14 | 2021 | 82 | |
| 15 | 2021 | 80 | |
| 16 | 2020 | 80 | |
| 17 | 2022 | 79 | |
| 18 | 2021 | 74 | |
| 19 | 2021 | 72 | |
| 20 | 2015 | 68 |
About Guofa Li
Guofa Li is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Social Psychology and Computer Vision and Pattern Recognition, having authored 186 papers that have together received 4.6k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (42 papers), Traffic and Road Safety (31 papers), Human-Automation Interaction and Safety (30 papers), EEG and Brain-Computer Interfaces (20 papers), Advanced Neural Network Applications (15 papers), Traffic control and management (15 papers), Sleep and Work-Related Fatigue (12 papers) and Video Surveillance and Tracking Methods (12 papers). The work is most often cited by research in Automotive Engineering (1.7k citations), Safety, Risk, Reliability and Quality (880 citations), Computer Vision and Pattern Recognition (1.1k citations), Control and Systems Engineering (963 citations) and Social Psychology (809 citations). Guofa Li has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xingda Qu, Shengbo Eben Li, Bo Cheng, Dongpu Cao, Shen Li, Paul Green, Keqiang Li, Yongjie Lin, Tingru Zhang and Wenjun Wang. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Automotive Innovation 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.