Guofa Li

168 papers receiving 4.4k citations

Guofa Li's Hit Papers

An infrared and visible image fusion method based on multi-scale transformation and norm optimization 2021 · 193 citations
1930+1+3Years since publication50100150200

Peers

Guofa Li
Comparison fields: 5 of 137
  • Automotive Engineering 1.6k
  • Safety, Risk, Reliability and Quality 857
  • Computer Vision and Pattern Recognition 1.1k
  • Control and Systems Engineering 940
  • Social Psychology 785
Replace Dongpu Cao with:
Dongpu Cao China
Miguel Ángel Sotelo Spain
Yang Xing Singapore
Kazuya Takeda Japan
Bo Cheng China
Luis M. Bergasa Spain
Dominique Gruyer France
Dongpu Cao China
Zhigang Xu China
Jianqiang Wang China
Guofa Li relative to Dongpu Cao China Dongpu Cao's profile →
Citations per field
00.5×10×20×27.8×
Dongpu Cao · 1×
Citations per year

Countries citing papers authored by Guofa Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Guofa Li Line = papers co-authored together Guofa Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 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 →
2021204
2
An infrared and visible image fusion method based on multi-scale transformation and norm optimization
Hit paper breakdown →
2021193
3 2016183
4 2020172
5 2020170
6 2020156
7 2019148
8 2019116
9 2017115
10 2022107
11 201691
12 202188
13 202382
14 202181
15 202180
16 202079
17 202278
18 202172
19 202171
20 201565

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 182 papers that have together received 4.4k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (41 papers), Traffic and Road Safety (31 papers), Human-Automation Interaction and Safety (30 papers), EEG and Brain-Computer Interfaces (19 papers), Traffic control and management (15 papers), Advanced Neural Network Applications (14 papers), Sleep and Work-Related Fatigue (12 papers) and Traffic Prediction and Management Techniques (11 papers). The work is most often cited by research in Automotive Engineering (1.6k citations), Safety, Risk, Reliability and Quality (857 citations), Computer Vision and Pattern Recognition (1.1k citations), Control and Systems Engineering (940 citations) and Social Psychology (785 citations). Guofa Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xingda Qu, Shengbo Eben Li, Bo Cheng, Dongpu Cao, Shen Li, Paul Green, Keqiang Li, Yongjie Lin, Tingru Zhang and Yifan Yang. 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.

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