H. Peng

3.2k total citations · 2 hit papers
25 papers, 2.5k citations indexed

About

H. Peng is a scholar working on Automotive Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, H. Peng has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Automotive Engineering, 11 papers in Control and Systems Engineering and 8 papers in Mechanical Engineering. Recurrent topics in H. Peng's work include Vehicle Dynamics and Control Systems (15 papers), Electric and Hybrid Vehicle Technologies (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). H. Peng is often cited by papers focused on Vehicle Dynamics and Control Systems (15 papers), Electric and Hybrid Vehicle Technologies (9 papers) and Autonomous Vehicle Technology and Safety (8 papers). H. Peng collaborates with scholars based in United States, China and Ireland. H. Peng's co-authors include Jing Zhou, Anna G. Stefanopoulou, Ardalan Vahidi, Liang Li, Weida Wang, Changle Xiang, Jean Walrand, D. McMahon, C. Desoer and Steven E Shladover and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

H. Peng

24 papers receiving 2.4k citations

Hit Papers

Automated vehicle control developments in the PATH program 1991 2026 2002 2014 1991 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Peng United States 17 1.8k 1.5k 512 442 263 25 2.5k
Reza Kazemi Iran 26 1.4k 0.7× 1.2k 0.8× 320 0.6× 571 1.3× 178 0.7× 136 2.2k
Levent Güvenç United States 29 1.8k 1.0× 1.6k 1.0× 485 0.9× 613 1.4× 232 0.9× 168 2.6k
Han-Shue Tan United States 24 1.4k 0.8× 1.3k 0.9× 309 0.6× 209 0.5× 201 0.8× 87 1.9k
Yugong Luo China 27 2.0k 1.1× 1.2k 0.8× 782 1.5× 343 0.8× 168 0.6× 106 2.4k
Saïd Mammar France 24 1.4k 0.8× 1.6k 1.0× 195 0.4× 268 0.6× 190 0.7× 152 2.5k
Hongyan Guo China 27 1.8k 1.0× 1.3k 0.9× 460 0.9× 446 1.0× 58 0.2× 125 2.7k
Jorge Villagrá Spain 24 1.1k 0.6× 1.1k 0.7× 321 0.6× 163 0.4× 195 0.7× 83 2.0k
Lu Xiong China 30 1.8k 1.0× 1.1k 0.7× 422 0.8× 643 1.5× 78 0.3× 211 3.1k
José Eugenio Naranjo Spain 24 1.4k 0.8× 980 0.7× 456 0.9× 168 0.4× 166 0.6× 89 2.2k
Bakhtiar Litkouhi United States 25 1.8k 1.0× 1.2k 0.8× 178 0.3× 435 1.0× 67 0.3× 66 2.4k

Countries citing papers authored by H. Peng

Since Specialization
Citations

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

Fields of papers citing papers by H. Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Peng

This figure shows the co-authorship network connecting the top 25 collaborators of H. Peng. A scholar is included among the top collaborators of H. Peng 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 H. Peng. H. Peng 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.
Cheng, Shuo, et al.. (2023). Chassis Global Dynamics-Oriented Trajectory Planning for Automated Vehicles. IEEE Transactions on Systems Man and Cybernetics Systems. 54(2). 950–959. 6 indexed citations
2.
Cheng, Shuo, H. Peng, Chao Yang, Weida Wang, & Liang Li. (2023). Chassis Global Dynamics Optimization for Automated Vehicles: A Multiactuator Integrated Control Method. IEEE Transactions on Systems Man and Cybernetics Systems. 54(1). 578–587. 7 indexed citations
3.
Cheng, Shuo, et al.. (2021). Game Theory-Based Control Strategy For Trajectory Following of Four-Wheel Independently Actuated Autonomous Vehicles. IEEE Transactions on Vehicular Technology. 70(3). 2196–2208. 27 indexed citations
4.
Xiang, Changle, et al.. (2020). Path tracking coordinated control strategy for autonomous four in-wheel-motor independent-drive vehicles with consideration of lateral stability. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 235(4). 1023–1036. 34 indexed citations
5.
Peng, H., et al.. (2020). Path Tracking and Direct Yaw Moment Coordinated Control Based on Robust MPC With the Finite Time Horizon for Autonomous Independent-Drive Vehicles. IEEE Transactions on Vehicular Technology. 69(6). 6053–6066. 201 indexed citations
6.
Zhang, Yuanbo, Weida Wang, Changle Xiang, et al.. (2020). A swarm intelligence-based predictive regenerative braking control strategy for hybrid electric vehicle. Vehicle System Dynamics. 60(3). 973–997. 39 indexed citations
7.
Peng, H., Weida Wang, Changle Xiang, Liang Li, & Xiangyu Wang. (2019). Torque Coordinated Control of Four In-Wheel Motor Independent-Drive Vehicles With Consideration of the Safety and Economy. IEEE Transactions on Vehicular Technology. 68(10). 9604–9618. 94 indexed citations
8.
Zhang, Wei, Danhua Li, Weida Wang, Jian Wang, & H. Peng. (2017). A rollover warning algorithm for vehicles based on dangerous speeds considering the suspension and dynamic characteristics. 411–416. 1 indexed citations
9.
Li, Shengbo Eben & H. Peng. (2011). Strategies to minimize the fuel consumption of passenger cars during car-following scenarios. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 226(3). 419–429. 95 indexed citations
10.
Peng, H., et al.. (2009). Development of an errorable car-following driver model. Vehicle System Dynamics. 48(6). 751–773. 74 indexed citations
11.
Peng, H., et al.. (2008). Development and validation of an errorable car-following driver model. 3927–3932. 6 indexed citations
12.
Sierra, Carlos, Eric Tseng, Ashok Jain, & H. Peng. (2006). Cornering stiffness estimation based on vehicle lateral dynamics. Vehicle System Dynamics. 44(sup1). 24–38. 96 indexed citations
13.
Peng, H., et al.. (2005). An adaptive lateral preview driver model. Vehicle System Dynamics. 43(4). 245–259. 197 indexed citations
14.
Vahidi, Ardalan, Anna G. Stefanopoulou, & H. Peng. (2005). Recursive least squares with forgetting for online estimation of vehicle mass and road grade: theory and experiments. Vehicle System Dynamics. 43(1). 31–55. 386 indexed citations breakdown →
15.
Peng, H., et al.. (2004). EVALUATION OF VEHICLE DYNAMIC CONTROL FOR ROLOVER PREVENTION. International Journal of Automotive Technology. 5(2). 115–122. 35 indexed citations
16.
Filipi, Zoran, et al.. (2004). Modelling and control of a medium-duty hybrid electric truck. International Journal of Heavy Vehicle Systems. 11(3/4). 349–349. 51 indexed citations
17.
18.
Ervin, R D, Gregg A. Johnson, Paul Venhovens, et al.. (1995). THE CREWMAN'S ASSOCIATE FOR PATH CONTROL (CAPC) : AN AUTOMATED DRIVING FUNCTION. Deep Blue (University of Michigan). 5 indexed citations
19.
Shladover, Steven E, C. Desoer, J. Karl Hedrick, et al.. (1991). Automated vehicle control developments in the PATH program. IEEE Transactions on Vehicular Technology. 40(1). 114–130. 610 indexed citations breakdown →
20.
Peng, H., et al.. (1989). Near-minimum-time control of a flexible robot arm via linear programming. 5 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