Changcheng Wu

480 total citations
19 papers, 311 citations indexed

About

Changcheng Wu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Changcheng Wu has authored 19 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Automotive Engineering, 14 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Changcheng Wu's work include Electric and Hybrid Vehicle Technologies (14 papers), Electric Vehicles and Infrastructure (14 papers) and Advanced Battery Technologies Research (10 papers). Changcheng Wu is often cited by papers focused on Electric and Hybrid Vehicle Technologies (14 papers), Electric Vehicles and Infrastructure (14 papers) and Advanced Battery Technologies Research (10 papers). Changcheng Wu collaborates with scholars based in China, Germany and Australia. Changcheng Wu's co-authors include Jiageng Ruan, Tongyang Li, Jiankun Peng, Weiqi Chen, Weihan Li, Hongwen He, Tongyang Li, Bin Li, Dirk Uwe Sauer and Yuhan Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Changcheng Wu

14 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changcheng Wu China 10 242 225 37 19 11 19 311
Fuguo Xu Japan 10 336 1.4× 265 1.2× 61 1.6× 7 0.4× 20 1.8× 33 390
Xuyang Zhao China 6 240 1.0× 221 1.0× 56 1.5× 4 0.2× 8 0.7× 18 296
Jinlong Wu China 5 303 1.3× 297 1.3× 48 1.3× 7 0.4× 12 1.1× 7 356
Lingxiong Guo China 10 543 2.2× 473 2.1× 79 2.1× 9 0.5× 14 1.3× 13 607
Ningkang Yang China 11 338 1.4× 304 1.4× 76 2.1× 5 0.3× 13 1.2× 27 413
Fangjuan Cheng China 6 257 1.1× 235 1.0× 90 2.4× 4 0.2× 12 1.1× 8 319
Bo Geng Canada 7 334 1.4× 337 1.5× 41 1.1× 7 0.4× 7 0.6× 13 382
Saman Ahmadi Australia 4 382 1.6× 359 1.6× 26 0.7× 8 0.4× 12 1.1× 12 445
Rucong Lai China 5 300 1.2× 267 1.2× 105 2.8× 5 0.3× 8 0.7× 8 341
Yiqiang Xu China 6 308 1.3× 248 1.1× 35 0.9× 4 0.2× 31 2.8× 8 350

Countries citing papers authored by Changcheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Changcheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changcheng Wu

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

All Works

19 of 19 papers shown
1.
Peng, Jiankun, et al.. (2025). Deep reinforcement learning-tuning hierarchical vehicle trajectory tracking framework based on improved kinematic model predictive control. Engineering Applications of Artificial Intelligence. 162. 112551–112551.
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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
4.
Guo, Xin, et al.. (2025). Integrated thermal-energy management for electric vehicles in high-temperature conditions using hierarchical reinforcement learning. Expert Systems with Applications. 276. 127221–127221. 6 indexed citations
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Wu, Changcheng, Jiankun Peng, Dawei Pi, et al.. (2025). Health-Conscious Integrated Thermal Management Strategy Using Hybrid Attention Deep Reinforcement Learning for Battery Electric Vehicles. IEEE Transactions on Power Electronics. 40(10). 15795–15807.
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Guo, Xin, et al.. (2025). Enhanced consensus control architecture for autonomous platoon utilizing multi-agent reinforcement learning. Computer-Aided Civil and Infrastructure Engineering. 40(17). 2561–2577.
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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
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Wu, Changcheng, et al.. (2024). Health-awareness energy management strategy for battery electric vehicles based on self-attention deep reinforcement learning. Journal of Power Sources. 623. 235463–235463. 11 indexed citations
10.
Wu, Changcheng, Jiankun Peng, Jun Chen, et al.. (2024). Battery health-considered energy management strategy for a dual-motor two-speed battery electric vehicle based on a hybrid soft actor-critic algorithm with memory function. Applied Energy. 376. 124306–124306. 10 indexed citations
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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
13.
Ruan, Jiageng, et al.. (2023). Delayed Deep Deterministic Policy Gradient-Based Energy Management Strategy for Overall Energy Consumption Optimization of Dual Motor Electrified Powertrain. IEEE Transactions on Vehicular Technology. 72(9). 11415–11427. 23 indexed citations
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Ruan, Jiageng, et al.. (2023). A review of occluded objects detection in real complex scenarios for autonomous driving. SHILAP Revista de lepidopterología. 2(3). 100092–100092. 32 indexed citations
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Ruan, Jiageng, et al.. (2022). Advanced deep deterministic policy gradient based energy management strategy design for dual-motor four-wheel-drive electric vehicle. Mechanism and Machine Theory. 179. 105119–105119. 35 indexed citations
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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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