Bo Cheng

4.3k total citations · 1 hit paper
73 papers, 3.1k citations indexed

About

Bo Cheng is a scholar working on Automotive Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Bo Cheng has authored 73 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Automotive Engineering, 25 papers in Control and Systems Engineering and 18 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Bo Cheng's work include Autonomous Vehicle Technology and Safety (21 papers), Traffic control and management (19 papers) and Traffic and Road Safety (17 papers). Bo Cheng is often cited by papers focused on Autonomous Vehicle Technology and Safety (21 papers), Traffic control and management (19 papers) and Traffic and Road Safety (17 papers). Bo Cheng collaborates with scholars based in China, United States and United Kingdom. Bo Cheng's co-authors include Shengbo Eben Li, Guofa Li, Keqiang Li, Jianqiang Wang, Hongbo Gao, Jingliang Duan, Wenjun Wang, Shaobing Xu, Qi Sun and Jianhui Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Industrial Electronics.

In The Last Decade

Bo Cheng

68 papers receiving 3.1k citations

Hit Papers

Object Classification Using CNN-Based Fusion of Vision an... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment
    2018 397 citations Hongbo Gao, Bo Cheng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Cheng China 31 1.8k 1.1k 514 479 459 73 3.1k
Azim Eskandarian United States 27 1.4k 0.8× 1.2k 1.0× 335 0.7× 390 0.8× 325 0.7× 168 4.3k
Guofa Li China 35 1.6k 0.9× 898 0.8× 855 1.7× 1.0k 2.1× 763 1.7× 181 4.2k
Yang Xing Singapore 39 2.8k 1.6× 1.4k 1.3× 620 1.2× 1.1k 2.3× 714 1.6× 116 5.1k
Ching‐Yao Chan United States 32 1.7k 1.0× 1.3k 1.2× 745 1.4× 510 1.1× 394 0.9× 168 3.4k
Zhongxu Hu Singapore 26 1.1k 0.6× 1.0k 0.9× 242 0.5× 523 1.1× 284 0.6× 58 2.4k
Yi Lu Murphey United States 28 1.4k 0.8× 745 0.7× 220 0.4× 422 0.9× 151 0.3× 152 3.0k
Hermann Winner Germany 24 1.7k 1.0× 724 0.7× 508 1.0× 388 0.8× 606 1.3× 160 2.8k
Markus Maurer Germany 22 1.7k 0.9× 778 0.7× 463 0.9× 608 1.3× 493 1.1× 115 2.7k
Xiaoxiang Na United Kingdom 25 1.3k 0.8× 979 0.9× 140 0.3× 350 0.7× 327 0.7× 68 2.6k
Dongpu Cao China 47 3.3k 1.9× 1.8k 1.6× 651 1.3× 1.8k 3.7× 687 1.5× 168 6.6k

Countries citing papers authored by Bo Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Bo Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Cheng. A scholar is included among the top collaborators of Bo Cheng 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 Bo Cheng. Bo Cheng 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.
Duan, Jingliang, Shengbo Eben Li, Chang Liu, et al.. (2025). Distributional Soft Actor-Critic With Three Refinements. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3935–3946. 7 indexed citations
2.
Gao, Hongbo, Ming Zhao, Xiao Zheng, et al.. (2024). An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change. Neurocomputing. 609. 128482–128482. 5 indexed citations
3.
Duan, Jingliang, et al.. (2024). Smooth Filtering Neural Network for Reinforcement Learning. IEEE Transactions on Intelligent Vehicles. 10(5). 3103–3112.
4.
5.
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Liu, Zhizhong, Qingsong Liu, Wenjing Zhang, et al.. (2024). Tailoring of Circularly Polarized Beams Employing Bound States in the Continuum in a Designed Photonic Crystal Metasurface Nanostructure. Nanomaterials. 14(17). 1405–1405. 1 indexed citations
7.
Song, Jing, Bo Cheng, Yujun Wang, Jian Deng, & Guangsheng Luo. (2023). A microfluidic chip structure with ultra-high liquid-liquid mass transfer performance. Separation and Purification Technology. 324. 124440–124440. 7 indexed citations
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Li, Qingkun, Zhenyuan Wang, Weimin Liu, et al.. (2022). Understanding Human Drivers' Trust in Highly Automated Vehicles via Structural Equation Modeling. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–7. 1 indexed citations
10.
Li, Guofa, Yifan Yang, Tingru Zhang, et al.. (2020). Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios. Transportation Research Part C Emerging Technologies. 122. 102820–102820. 168 indexed citations
11.
Duan, Jingliang, et al.. (2019). Drivers’ Braking Behaviors in Different Motion Patterns of Vehicle-Bicycle Conflicts. Journal of Advanced Transportation. 2019. 1–17. 21 indexed citations
12.
Duan, Jingliang, Renjie Li, Wenjun Wang, et al.. (2017). Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts. Accident Analysis & Prevention. 108. 74–82. 47 indexed citations
13.
Li, Shengbo Eben, Guofa Li, Chang Liu, et al.. (2017). Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles. Mechanical Systems and Signal Processing. 98. 173–189. 113 indexed citations
14.
15.
Li, Guofa, Shengbo Eben Li, & Bo Cheng. (2015). Field operational test of advanced driver assistance systems in typical Chinese road conditions: The influence of driver gender, age and aggression. International Journal of Automotive Technology. 16(5). 739–750. 64 indexed citations
16.
Lu, Guangquan, et al.. (2011). Relationship Between Road Traffic Accidents and Conflicts Recorded by Drive Recorders. Traffic Injury Prevention. 12(4). 320–326. 20 indexed citations
17.
Cheng, Bo. (2010). Detection of driver's drowsiness using facial expression features. 3 indexed citations
18.
Wu, Xiaolan, Bo Cheng, Jianbo Cao, & Binggang Cao. (2008). Particle Swarm Optimization with Normal Cloud Mutation. 6. 2828–2832. 14 indexed citations
19.
Cheng, Bo, Zhifeng Bai, & Junyi Cao. (2008). State of charge estimation based on evolutionary neural network. Energy Conversion and Management. 49(10). 2788–2794. 88 indexed citations
20.
Cheng, Bo & Gary L. Mullen. (2002). Constructions for mutually orthogonal frequency hyperrectangles with a prescribed type. Discrete Mathematics. 242(1-3). 55–64. 1 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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