Sifa Zheng

855 total citations
61 papers, 481 citations indexed

About

Sifa Zheng is a scholar working on Automotive Engineering, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Sifa Zheng has authored 61 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Automotive Engineering, 24 papers in Control and Systems Engineering and 12 papers in Aerospace Engineering. Recurrent topics in Sifa Zheng's work include Autonomous Vehicle Technology and Safety (17 papers), Traffic control and management (14 papers) and Vehicle Dynamics and Control Systems (12 papers). Sifa Zheng is often cited by papers focused on Autonomous Vehicle Technology and Safety (17 papers), Traffic control and management (14 papers) and Vehicle Dynamics and Control Systems (12 papers). Sifa Zheng collaborates with scholars based in China, Canada and Hong Kong. Sifa Zheng's co-authors include Shengbo Eben Li, Keqiang Li, Qiang Ge, Xiaomin Lian, Qi Sun, Lin Zhou, Ziyu Lin, Zhen Gao, Jianqiang Wang and Xi Chen and has published in prestigious journals such as IEEE Access, Journal of Sound and Vibration and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Sifa Zheng

57 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sifa Zheng China 13 224 178 90 69 60 61 481
Diange Yang China 12 224 1.0× 138 0.8× 101 1.1× 89 1.3× 34 0.6× 79 484
Qi Luo China 13 165 0.7× 158 0.9× 93 1.0× 89 1.3× 60 1.0× 43 483
Jean-Philippe Lauffenburger France 11 161 0.7× 90 0.5× 112 1.2× 82 1.2× 90 1.5× 57 419
Jingyan Song China 10 205 0.9× 172 1.0× 55 0.6× 61 0.9× 35 0.6× 42 442
Zhisong Zhou China 9 206 0.9× 112 0.6× 76 0.8× 60 0.9× 32 0.5× 16 352
Zhenyu Yin China 12 94 0.4× 107 0.6× 80 0.9× 52 0.8× 59 1.0× 97 484
V. Sankaranarayanan India 12 150 0.7× 312 1.8× 60 0.7× 107 1.6× 55 0.9× 42 701
Viktor Tihanyi Hungary 12 223 1.0× 168 0.9× 66 0.7× 112 1.6× 24 0.4× 42 397
Chaoxian Wu China 6 259 1.2× 211 1.2× 70 0.8× 116 1.7× 59 1.0× 9 424
Max Mauro Dias Santos Brazil 14 199 0.9× 142 0.8× 102 1.1× 189 2.7× 42 0.7× 69 613

Countries citing papers authored by Sifa Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Sifa Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sifa Zheng

This figure shows the co-authorship network connecting the top 25 collaborators of Sifa Zheng. A scholar is included among the top collaborators of Sifa Zheng 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 Sifa Zheng. Sifa Zheng 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.
Zhang, Tao, et al.. (2025). Zeroth-Order Actor–Critic: An Evolutionary Framework for Sequential Decision Problems. IEEE Transactions on Evolutionary Computation. 29(2). 555–569. 2 indexed citations
2.
Wang, Yao, Feng Ding, Yong Li, et al.. (2024). Forming limit and failure behavior of fiber metal laminates under low-constraint conditions. Chinese Journal of Aeronautics. 38(1). 103299–103299. 2 indexed citations
3.
Li, Haoran, et al.. (2024). Personalized driving behavior oriented autonomous vehicle control for typical traffic situations. Journal of the Franklin Institute. 361(10). 106924–106924. 3 indexed citations
4.
Lu, Y., et al.. (2024). Optimization of Model Predictive Control for Autonomous Vehicles Through Learning-Based Weight Adjustment. IEEE Transactions on Intelligent Transportation Systems. 26(10). 17223–17234. 2 indexed citations
5.
Jin, Yufeng, Chongben Tao, Xizhao Luo, et al.. (2024). TFIENet: Transformer Fusion Information Enhancement Network for Multimodel 3-D Object Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–13.
6.
Huang, Heye, et al.. (2024). Emergency Index (EI): A two-dimensional surrogate safety measure considering vehicles’ interaction depth. Transportation Research Part C Emerging Technologies. 171. 104981–104981. 3 indexed citations
7.
Tao, Chongben, et al.. (2023). Accelerating Point-Voxel Representation of 3-D Object Detection for Automatic Driving. IEEE Transactions on Artificial Intelligence. 5(1). 254–266. 11 indexed citations
8.
Sun, Chuan, et al.. (2023). Real-Time Center of Gravity Estimation for Intelligent Connected Vehicle Based on HEKF-EKF. Electronics. 12(2). 386–386. 7 indexed citations
9.
Zhou, Feng, et al.. (2023). 3-D Dynamic Multitarget Detection Algorithm Based on Cross-View Feature Fusion. IEEE Transactions on Artificial Intelligence. 5(6). 3146–3159. 3 indexed citations
10.
Cao, Feng, Chongben Tao, Xizhao Luo, et al.. (2023). MCHFormer: A Multi-Cross Hybrid Former of Point-Image for 3D Object Detection. IEEE Transactions on Intelligent Vehicles. 9(1). 383–394. 5 indexed citations
11.
Sun, Guoliang, et al.. (2023). Disparity Estimation for Multi-Scale Multi-Sensor Fusion. Journal of Systems Engineering and Electronics. 35(2). 259–274.
12.
Zheng, Sifa, et al.. (2023). Distributed MPC for Multi-Vehicle Cooperative Control Considering the Surrounding Vehicle Personality. IEEE Transactions on Intelligent Transportation Systems. 25(3). 2814–2826. 12 indexed citations
13.
Tao, Chongben, Chen Wang, Xizhao Luo, et al.. (2022). F-PVNet: Frustum-Level 3-D Object Detection on Point–Voxel Feature Representation for Autonomous Driving. IEEE Internet of Things Journal. 10(9). 8031–8045. 8 indexed citations
14.
Lin, Ziyu, et al.. (2021). Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 4552–4559. 30 indexed citations
15.
Zheng, Sifa, et al.. (2020). An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception. Journal of Intelligent Manufacturing. 32(5). 1249–1269. 20 indexed citations
16.
Ma, Yulin, Zhixiong Li, Reza Malekian, Sifa Zheng, & Miguel Ángel Sotelo. (2020). A Novel Multimode Hybrid Control Method for Cooperative Driving of an Automated Vehicle Platoon. IEEE Internet of Things Journal. 8(7). 5822–5838. 13 indexed citations
17.
Zheng, Sifa, et al.. (2019). Test platform for a torque vectoring control system for in-wheel motor driven vehicles. Journal of Tsinghua University(Science and Technology). 59(2). 162–168. 2 indexed citations
18.
Chen, Hao, et al.. (2018). Adaptive Launching Control Strategy of In-Wheel Motor Driven Vehicle. 2694–2699. 1 indexed citations
19.
Li, Keqiang, et al.. (2012). Active Noise Control for Vehicle Exhaust Noise Reduction. Tsinghua Science & Technology. 8(5). 577–581. 3 indexed citations
20.
Li, Keqiang, Sifa Zheng, Diange Yang, Xiaomin Lian, & Masao NAGAI. (2003). Modeling and control of active susnensions for MDOF vehicle. Tsinghua Science & Technology. 8(2). 224–230. 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.

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