Wenbo Chu

1.5k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Wenbo Chu is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Wenbo Chu has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Automotive Engineering, 9 papers in Control and Systems Engineering and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Wenbo Chu's work include Autonomous Vehicle Technology and Safety (8 papers), Vehicle Dynamics and Control Systems (6 papers) and Traffic control and management (5 papers). Wenbo Chu is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Vehicle Dynamics and Control Systems (6 papers) and Traffic control and management (5 papers). Wenbo Chu collaborates with scholars based in China, United States and Canada. Wenbo Chu's co-authors include Dongpu Cao, Long Chen, Daxin Tian, Ying Li, Yaodong Cui, Ren Chen, Shen Li, W.B. Li, Hua Jiang and Ying Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and IEEE Transactions on Information Theory.

In The Last Decade

Wenbo Chu

32 papers receiving 1.0k citations

Hit Papers

Deep Learning for Image and Point Cloud Fusion in Autonom... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenbo Chu China 16 337 235 175 167 141 37 1.1k
Baofeng Ji China 19 198 0.6× 74 0.3× 1.0k 5.9× 97 0.6× 80 0.6× 87 1.6k
Hao Cheng China 17 219 0.6× 410 1.7× 76 0.4× 213 1.3× 46 0.3× 87 1.1k
William Holderbaum United Kingdom 21 189 0.6× 126 0.5× 808 4.6× 651 3.9× 46 0.3× 156 1.6k
Noman Khan South Korea 19 90 0.3× 302 1.3× 443 2.5× 90 0.5× 28 0.2× 45 1.1k
Nan Gao China 16 56 0.2× 63 0.3× 185 1.1× 108 0.6× 85 0.6× 52 822
Jun Han South Korea 19 80 0.2× 274 1.2× 386 2.2× 43 0.3× 99 0.7× 84 1.3k
Taehong Kim South Korea 19 28 0.1× 96 0.4× 359 2.1× 83 0.5× 130 0.9× 109 1.4k
Jingyao Wang China 20 215 0.6× 60 0.3× 208 1.2× 504 3.0× 63 0.4× 89 1.2k
Pengfei Wang China 17 24 0.1× 89 0.4× 199 1.1× 41 0.2× 43 0.3× 83 963
Melih Kuncan Türkiye 17 53 0.2× 203 0.9× 92 0.5× 468 2.8× 64 0.5× 47 1.0k

Countries citing papers authored by Wenbo Chu

Since Specialization
Citations

This map shows the geographic impact of Wenbo Chu'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 Wenbo Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbo Chu more than expected).

Fields of papers citing papers by Wenbo Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenbo Chu. 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 Wenbo Chu. The network helps show where Wenbo Chu may publish in the future.

Co-authorship network of co-authors of Wenbo Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbo Chu. A scholar is included among the top collaborators of Wenbo Chu 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 Wenbo Chu. Wenbo Chu 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.
Chu, Wenbo, Guangxin Sun, Zuhuang Chen, et al.. (2025). Synergistic effects of shell-hollow confinement catalysis in Au@Cu2O nanoreactors toward efficient electrocatalytic CO2 to multi‑carbon products. Chemical Engineering Journal. 519. 165084–165084.
2.
Liu, Wenqing, et al.. (2025). Challenges in harmonizing immunoassays: The use of the Bland-Altman based harmonization algorithm. Clinica Chimica Acta. 572. 120247–120247.
3.
Chen, Zheng, et al.. (2025). Efficient Electroreduction of High-Pressure Gaseous and Supercritical CO2 to CO in a Zero-Gap Electrolyzer. ACS Sustainable Chemistry & Engineering. 13(27). 10495–10503. 1 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.
Sun, Pei, et al.. (2024). Efficient multi-modal high-precision semantic segmentation from MLS point cloud without 3D annotation. International Journal of Applied Earth Observation and Geoinformation. 135. 104243–104243. 1 indexed citations
6.
Chu, Wenbo, Kai Yang, Shen Li, & Xiaolin Tang. (2024). Motion Planning for Autonomous Driving with Real Traffic Data Validation. Chinese Journal of Mechanical Engineering. 37(1). 2 indexed citations
7.
Chu, Wenbo, Guofa Li, Bing Lu, et al.. (2024). AFOcc: Multimodal Semantic Occupancy Prediction With Accurate Fusion. IEEE Sensors Journal. 24(20). 33705–33714.
8.
Li, Guofa, et al.. (2023). Driver Vigilance Detection Based on Limited EEG Signals. IEEE Sensors Journal. 23(12). 13387–13398. 10 indexed citations
9.
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
10.
Xu, Qing, et al.. (2022). The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020). SHILAP Revista de lepidopterología. 5(1). 1–7. 38 indexed citations
11.
Luo, Yugong, Wenbo Chu, & Dongpu Cao. (2021). Key Technologies in Connected Autonomous Electrified Vehicles. Chinese Journal of Mechanical Engineering. 34(1). 2 indexed citations
12.
Chu, Wenbo, et al.. (2021). Cloud Control System Architectures, Technologies and Applications on Intelligent and Connected Vehicles: a Review. Chinese Journal of Mechanical Engineering. 34(1). 45 indexed citations
13.
Cui, Yaodong, Ren Chen, Wenbo Chu, et al.. (2021). Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review. IEEE Transactions on Intelligent Transportation Systems. 23(2). 722–739. 336 indexed citations breakdown →
14.
Liu, Hongzhe, et al.. (2021). Research progress of fisheye image processing based on deep learning. Journal of Image and Graphics. 26(12). 2778–2799. 1 indexed citations
15.
Chu, Wenbo, et al.. (2021). A priority tree based coordination method for intelligent and connected vehicles at unsignalized intersections. IET Intelligent Transport Systems. 15(8). 1053–1063. 2 indexed citations
16.
Fan, Lili, Hongwei Zhao, Ying Li, et al.. (2021). RAO‐UNet: a residual attention and octave UNet for road crack detection via balance loss. IET Intelligent Transport Systems. 16(3). 332–343. 25 indexed citations
17.
Chu, Wenbo, et al.. (2015). Vehicle mass and road slope estimates for electric vehicles. Journal of Tsinghua University(Science and Technology). 54(6). 724–728. 15 indexed citations
18.
Luo, Yugong, et al.. (2014). Stability control of distributed drive electric vehicles based on traction and brake force coordination control. Journal of Tsinghua University(Science and Technology). 54(6). 729–733.
19.
Chu, Wenbo. (2013). Vehicle State Estimation by Unscented Particle Filterin Distributed Electric Vehicle. Journal of Mechanical Engineering. 49(24). 117–117. 4 indexed citations
20.
Chu, Wenbo & H. Windawi. (1996). Control VOCs via catalytic oxidation. Chemical engineering progress. 92(3). 37–43. 10 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.

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