Jiankun Peng

5.3k total citations · 1 hit paper
94 papers, 4.3k citations indexed

About

Jiankun Peng is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Jiankun Peng has authored 94 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Automotive Engineering, 65 papers in Electrical and Electronic Engineering and 23 papers in Control and Systems Engineering. Recurrent topics in Jiankun Peng's work include Electric and Hybrid Vehicle Technologies (66 papers), Electric Vehicles and Infrastructure (61 papers) and Advanced Battery Technologies Research (39 papers). Jiankun Peng is often cited by papers focused on Electric and Hybrid Vehicle Technologies (66 papers), Electric Vehicles and Infrastructure (61 papers) and Advanced Battery Technologies Research (39 papers). Jiankun Peng collaborates with scholars based in China, United States and Canada. Jiankun Peng's co-authors include Hongwen He, Rui Xiong, Huachun Tan, Yuecheng Li, Yuankai Wu, Hailong Zhang, Jingda Wu, Renzong Lian, Zhanjiang Li and Shanshan Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Jiankun Peng

88 papers receiving 4.2k citations

Hit Papers

align trajectories

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.

Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming

2016 590 citations Jiankun Peng, Hongwen He et al. Applied Energy profile →

Peers

Jiankun Peng

EEE

CSE

Yuanjian Zhang China

Huei Peng United States

Nikolce Murgovski Sweden

Weida Wang China

Quan Zhou United Kingdom

Chao Sun China

Alexandre Ravey France

Zhaosheng Zhang China

Nasser L. Azad Canada

Alain Bouscayrol France

Yuanjian Zhang China

Jiankun Peng

2.7k ×0.7

2.2k ×0.7

EEE

739 ×1.1

CSE

101 ×0.7

113 ×0.8

Citations per year, relative to Jiankun Peng Jiankun Peng (= 1×) peers Yuanjian Zhang

Countries citing papers authored by Jiankun Peng

Since Specialization

Citations

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

Fields of papers citing papers by Jiankun Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiankun Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiankun Peng. A scholar is included among the top collaborators of Jiankun 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 Jiankun Peng. Jiankun Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Weiqi, et al.. (2025). Eco-driving framework for hybrid electric vehicles in multi-lane scenarios by using deep reinforcement learning methods. Green Energy and Intelligent Transportation. 5(2). 100309–100309. 5 indexed citations

Fan, Yi, et al.. (2025). Eco-Driving Strategy for Series Hybrid Electric Vehicle Based on Multi-Objective Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification. 11(5). 12381–12392. 1 indexed citations

Wu, Changcheng, et al.. (2025). Thermal Management Methodology Based on a Hybrid Deep Deterministic Policy Gradient With Memory Function for Battery Electric Vehicles in Hot Weather Conditions. IEEE Transactions on Transportation Electrification. 11(3). 7232–7242. 4 indexed citations

Peng, Jiankun, et al.. (2024). Efficient training for energy management in fuel cell hybrid electric vehicles: An imitation learning-embedded deep reinforcement learning framework. Journal of Cleaner Production. 447. 141360–141360. 23 indexed citations

Li, Yan, et al.. (2024). Modeling lane changes using parallel learning. Transportation Research Part C Emerging Technologies. 167. 104841–104841.

Zhang, Hailong, et al.. (2023). Hierarchical reinforcement learning based energy management strategy of plug-in hybrid electric vehicle for ecological car-following process. Applied Energy. 333. 120599–120599. 49 indexed citations

He, Hongwen, et al.. (2023). A comparative study of deep reinforcement learning based energy management strategy for hybrid electric vehicle. Energy Conversion and Management. 293. 117442–117442. 40 indexed citations

Peng, Jiankun, et al.. (2023). Multiple Electric Components Health-Aware Eco-Driving Strategy for Fuel Cell Hybrid Electric Vehicle Based on Soft Actor-Critic Algorithm. IEEE Transactions on Transportation Electrification. 10(3). 6242–6257. 18 indexed citations

Peng, Jiankun, et al.. (2023). Ecological Driving Framework of Hybrid Electric Vehicle Based on Heterogeneous Multi-Agent Deep Reinforcement Learning. IEEE Transactions on Transportation Electrification. 10(1). 392–406. 26 indexed citations

10.

Peng, Jiankun, et al.. (2023). Integrated Velocity Optimization and Energy Management Strategy for Hybrid Electric Vehicle Platoon: A Multiagent Reinforcement Learning Approach. IEEE Transactions on Transportation Electrification. 10(2). 2547–2561. 20 indexed citations

11.

Li, Bingbing, et al.. (2022). Energy-oriented Routing Strategy of Electric Vehicle: An End-to-End Reinforcement Learning Approach. 1–7. 3 indexed citations

12.

Ding, Fan, et al.. (2021). Battery-Aware Cooperative Merging Strategy of Connected Electric Vehicles Based on Reinforcement Learning With Hindsight Experience Replay. IEEE Transactions on Transportation Electrification. 8(3). 3725–3741. 3 indexed citations

13.

Zhang, Yishi, et al.. (2021). Energy management strategy of intelligent plug-in split hybrid electric vehicle based on deep reinforcement learning with optimized path planning algorithm. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 235(14). 3287–3298. 12 indexed citations

14.

Peng, Jiankun, et al.. (2020). A Deep Reinforcement Learning-Based Energy Management Framework With Lagrangian Relaxation for Plug-In Hybrid Electric Vehicle. IEEE Transactions on Transportation Electrification. 7(3). 1146–1160. 66 indexed citations

15.

Lian, Renzong, Huachun Tan, Jiankun Peng, Qin Li, & Yuankai Wu. (2020). Cross-Type Transfer for Deep Reinforcement Learning Based Hybrid Electric Vehicle Energy Management. IEEE Transactions on Vehicular Technology. 69(8). 8367–8380. 123 indexed citations

16.

Li, Yuecheng, Hongwen He, Jiankun Peng, & Hong Wang. (2019). Deep Reinforcement Learning-Based Energy Management for a Series Hybrid Electric Vehicle Enabled by History Cumulative Trip Information. IEEE Transactions on Vehicular Technology. 68(8). 7416–7430. 163 indexed citations

17.

He, Hongwen, et al.. (2017). Predictive air-conditioner control for electric buses with passenger amount variation forecast☆. Applied Energy. 227. 249–261. 53 indexed citations

18.

Wu, Jingda, et al.. (2016). Comparative Analysis on the Rule-based Control Strategy of Two Typical Hybrid Electric Vehicle Powertrain. Energy Procedia. 104. 384–389. 20 indexed citations

19.

Peng, Jiankun, Hongwen He, Wei Liu, & Hongqiang Guo. (2015). Hierarchical Control Strategy for the Cooperative Braking System of Electric Vehicle. The Scientific World JOURNAL. 2015(1). 584075–584075. 4 indexed citations

20.

He, Hongwen, Rui Xiong, & Jiankun Peng. (2015). Real-time estimation of battery state-of-charge with unscented Kalman filter and RTOS μCOS-II platform. Applied Energy. 162. 1410–1418. 109 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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