Guofa Li

6.0k total citations · 2 hit papers
181 papers, 4.2k citations indexed

About

Guofa Li is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering. According to data from OpenAlex, Guofa Li has authored 181 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Automotive Engineering, 45 papers in Safety, Risk, Reliability and Quality and 39 papers in Control and Systems Engineering. Recurrent topics in Guofa Li's work include Autonomous Vehicle Technology and Safety (40 papers), Human-Automation Interaction and Safety (31 papers) and Traffic and Road Safety (31 papers). Guofa Li is often cited by papers focused on Autonomous Vehicle Technology and Safety (40 papers), Human-Automation Interaction and Safety (31 papers) and Traffic and Road Safety (31 papers). Guofa Li collaborates with scholars based in China, United States and Canada. Guofa Li's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Guofa Li

165 papers receiving 4.1k citations

Hit Papers

Decision making of autonomous vehicles in lane change sce... 2021 2026 2022 2024 2021 2021 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guofa Li China 35 1.6k 1.0k 898 855 763 181 4.2k
Dongpu Cao China 47 3.3k 2.1× 1.8k 1.7× 1.8k 2.0× 651 0.8× 687 0.9× 168 6.6k
Miguel Ángel Sotelo Spain 39 2.0k 1.3× 2.6k 2.5× 1.5k 1.7× 566 0.7× 435 0.6× 228 6.4k
Yang Xing Singapore 39 2.8k 1.8× 1.1k 1.1× 1.4k 1.6× 620 0.7× 714 0.9× 116 5.1k
Bo Cheng China 31 1.8k 1.1× 479 0.5× 1.1k 1.2× 514 0.6× 459 0.6× 73 3.1k
Kazuya Takeda Japan 37 1.9k 1.2× 1.6k 1.6× 726 0.8× 423 0.5× 476 0.6× 330 6.0k
Luis M. Bergasa Spain 38 1.3k 0.8× 3.1k 3.1× 356 0.4× 371 0.4× 534 0.7× 174 5.6k
Azim Eskandarian United States 27 1.4k 0.9× 390 0.4× 1.2k 1.3× 335 0.4× 325 0.4× 168 4.3k
Jianqiang Wang China 43 4.7k 3.0× 1.1k 1.1× 4.4k 4.9× 1.3k 1.5× 731 1.0× 293 7.9k
Dongpu Cao China 59 8.7k 5.5× 2.2k 2.1× 4.1k 4.6× 741 0.9× 711 0.9× 201 12.7k
José María Armingol Spain 30 833 0.5× 2.1k 2.0× 271 0.3× 233 0.3× 218 0.3× 135 3.4k

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-authorship network of co-authors of Guofa Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guofa Li. A scholar is included among the top collaborators of Guofa Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guofa Li. Guofa Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xu, Sheng, Shuai Wang, Guofa Li, et al.. (2025). pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 26(10). 15915–15931. 4 indexed citations
2.
Zhang, Wei, et al.. (2025). A Novel Compound Fault Diagnosis Method for Rotating Machinery Based on Dynamic Adaptive MWPE and Dual-Graph Regularization Strategy. IEEE Sensors Journal. 25(4). 6850–6868. 1 indexed citations
3.
Shi, Run, et al.. (2024). Structural reliability analysis of high-speed motorized spindle under thermal error based on dynamically adjusted adaptive Kriging model. International Journal of Thermal Sciences. 210. 109650–109650. 2 indexed citations
4.
Chu, Wenbo, et al.. (2024). Large models for intelligent transportation systems and autonomous vehicles: A survey. Advanced Engineering Informatics. 62. 102786–102786. 22 indexed citations
5.
Fang, Yukun, Haigen Min, Xia Wu, et al.. (2024). Resilience-Oriented Oscillation Dampening for Connected Autonomous Vehicle Platoons. IEEE Transactions on Vehicular Technology. 73(11). 16024–16040. 1 indexed citations
6.
Chu, Wenbo, Guofa Li, Bing Lu, et al.. (2024). AFOcc: Multimodal Semantic Occupancy Prediction With Accurate Fusion. IEEE Sensors Journal. 24(20). 33705–33714.
7.
Liu, Yan, et al.. (2023). A new approach to failure mode and effect analysis under linguistic Z-number: A case study of CNC tool holders. Engineering Failure Analysis. 154. 107688–107688. 9 indexed citations
8.
Li, Guofa, et al.. (2023). Depth Estimation Based on Monocular Camera Sensors in Autonomous Vehicles: A Self-supervised Learning Approach. Automotive Innovation. 6(2). 268–280. 14 indexed citations
9.
Yang, Zhaojun, et al.. (2023). A novel maintenance strategy for manufacturing system considering working schedule and imperfect maintenance. Computers & Industrial Engineering. 185. 109656–109656. 12 indexed citations
10.
Liu, Guojun, et al.. (2023). Positioning failure error identification of industrial robots based on particle swarm optimization and Kriging surrogate modeling. Quality and Reliability Engineering International. 39(5). 1965–1979. 7 indexed citations
11.
Li, Guofa, Cong Wang, Caizhi Zhang, et al.. (2023). Key Supplement: Improving 3-D Car Detection With Pseudo Point Cloud. IEEE Sensors Journal. 23(16). 18856–18866. 3 indexed citations
12.
Li, Guofa, et al.. (2023). Driver Vigilance Detection Based on Limited EEG Signals. IEEE Sensors Journal. 23(12). 13387–13398. 10 indexed citations
13.
Li, Qingkun, Wenjun Wang, Zhenyuan Wang, et al.. (2023). Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation. IEEE Transactions on Intelligent Transportation Systems. 24(10). 11278–11292. 7 indexed citations
14.
Li, Guofa, Xin Chen, Wenbo Chu, et al.. (2023). Pedestrian Tracking Based on Receptive Field Improvement: A One-Shot Multiobject Tracking Approach Based on Vision Sensors. IEEE Sensors Journal. 23(16). 18893–18907. 8 indexed citations
15.
Zhang, Tingru, et al.. (2022). Input modality matters: A comparison of touch, speech, and gesture based in-vehicle interaction. Applied Ergonomics. 108. 103958–103958. 25 indexed citations
16.
Li, Guofa, et al.. (2022). Novel learning functions design based on the probability of improvement criterion and normalization techniques. Applied Mathematical Modelling. 108. 376–391. 9 indexed citations
17.
Li, Guofa, et al.. (2021). ML-ANet: A Transfer Learning Approach Using Adaptation Network for Multi-label Image Classification in Autonomous Driving. Chinese Journal of Mechanical Engineering. 34(1). 20 indexed citations
18.
Li, Guofa, et al.. (2021). Improved FMEA based on IVF and fuzzy VIKOR method: A case study of workpiece box system of CNC gear milling machine. Quality and Reliability Engineering International. 37(6). 2478–2498. 17 indexed citations
19.
Yang, Jue, et al.. (2020). Learning-Based Terrain Identification With Proprioceptive Sensors for Mobile Robots. IEEE Transactions on Industrial Electronics. 68(9). 8433–8443. 8 indexed citations
20.
Li, Guofa, et al.. (2020). A sparse representation of transients based on a parametric multiple-impulse dictionary for extracting impact features from an automatic tool-changing system. Measurement Science and Technology. 32(6). 65102–65102. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026