Chunchun Jia

1.4k total citations · 2 hit papers
23 papers, 810 citations indexed

About

Chunchun Jia is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Chunchun Jia has authored 23 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Automotive Engineering, 19 papers in Electrical and Electronic Engineering and 2 papers in Control and Systems Engineering. Recurrent topics in Chunchun Jia's work include Electric and Hybrid Vehicle Technologies (17 papers), Advanced Battery Technologies Research (16 papers) and Electric Vehicles and Infrastructure (13 papers). Chunchun Jia is often cited by papers focused on Electric and Hybrid Vehicle Technologies (17 papers), Advanced Battery Technologies Research (16 papers) and Electric Vehicles and Infrastructure (13 papers). Chunchun Jia collaborates with scholars based in China, Hong Kong and Singapore. Chunchun Jia's co-authors include Hongwen He, Jiaming Zhou, Kunang Li, Jianwei Li, Zhongbao Wei, K. T. Chau, Wei Liu, Hongwen He, Fengyan Yi and Caizhi Zhang and has published in prestigious journals such as Applied Energy, International Journal of Hydrogen Energy and Energy Conversion and Management.

In The Last Decade

Chunchun Jia

22 papers receiving 785 citations

Hit Papers

A performance degradation prediction model for PEMFC base... 2024 2026 2025 2024 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunchun Jia China 15 587 517 110 87 62 23 810
Kunang Li China 8 425 0.7× 364 0.7× 62 0.6× 70 0.8× 46 0.7× 10 558
Renyou Xie China 11 462 0.8× 238 0.5× 138 1.3× 111 1.3× 70 1.1× 29 555
Yibin Qiu China 15 725 1.2× 408 0.8× 235 2.1× 172 2.0× 75 1.2× 19 869
Aditya Shekhar Netherlands 15 727 1.2× 237 0.5× 246 2.2× 50 0.6× 54 0.9× 78 854
Xiang Meng China 10 516 0.9× 430 0.8× 109 1.0× 75 0.9× 37 0.6× 14 611
Qiushi Wang China 12 280 0.5× 411 0.8× 150 1.4× 138 1.6× 28 0.5× 28 620
Raed Kouta France 11 294 0.5× 134 0.3× 53 0.5× 123 1.4× 77 1.2× 26 427
Taiqiang Cao China 6 270 0.5× 171 0.3× 115 1.0× 80 0.9× 38 0.6× 22 374
Yushaizad Yusof Malaysia 7 739 1.3× 603 1.2× 165 1.5× 117 1.3× 18 0.3× 20 895

Countries citing papers authored by Chunchun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Chunchun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunchun Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Chunchun Jia. A scholar is included among the top collaborators of Chunchun Jia 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 Chunchun Jia. Chunchun Jia 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.
Guo, Jinquan, et al.. (2025). The Energy Management Strategies for Fuel Cell Electric Vehicles: An Overview and Future Directions. World Electric Vehicle Journal. 16(9). 542–542. 1 indexed citations
2.
Lu, Dagang, Yu Chen, Song Ji, et al.. (2025). Research Progress in Multi-Domain and Cross-Domain AI Management and Control for Intelligent Electric Vehicles. Energies. 18(17). 4597–4597.
3.
Jia, Chunchun, Wei Liu, Hongwen He, & K. T. Chau. (2025). Superior energy management for fuel cell vehicles guided by improved DDPG algorithm: Integrating driving intention speed prediction and health-aware control. Applied Energy. 394. 126195–126195. 31 indexed citations breakdown →
4.
Jia, Chunchun, Wei Liu, Hongwen He, & K. T. Chau. (2025). Health-conscious energy management for fuel cell vehicles: An integrated thermal management strategy for cabin and energy source systems. Energy. 333. 137330–137330. 21 indexed citations
5.
Jia, Chunchun, et al.. (2025). Passenger-aware reinforcement learning for efficient and robust energy management of fuel cell buses. eTransportation. 27. 100537–100537. 1 indexed citations
6.
Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2024). A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism. International Journal of Hydrogen Energy. 60. 133–146. 92 indexed citations breakdown →
7.
Zhou, Jiaming, Jinming Zhang, Fengyan Yi, et al.. (2024). A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction. International Journal of Hydrogen Energy. 94. 394–405. 37 indexed citations
8.
9.
Jia, Chunchun, Wei Liu, Hongwen He, & K. T. Chau. (2024). Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control. Energy Conversion and Management. 321. 119032–119032. 58 indexed citations
10.
Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2024). A novel deep reinforcement learning-based predictive energy management for fuel cell buses integrating speed and passenger prediction. International Journal of Hydrogen Energy. 100. 456–465. 39 indexed citations
11.
12.
Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2023). A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience. Energy. 282. 128928–128928. 17 indexed citations
13.
Jia, Chunchun, Hongwen He, Jiaming Zhou, et al.. (2023). Learning-based model predictive energy management for fuel cell hybrid electric bus with health-aware control. Applied Energy. 355. 122228–122228. 105 indexed citations
14.
Jia, Chunchun, Kunang Li, Hongwen He, et al.. (2023). Health-aware energy management strategy for fuel cell hybrid bus considering air-conditioning control based on TD3 algorithm. Energy. 283. 128462–128462. 50 indexed citations
15.
Jia, Chunchun, Jiaming Zhou, Hongwen He, et al.. (2023). A novel energy management strategy for hybrid electric bus with fuel cell health and battery thermal- and health-constrained awareness. Energy. 271. 127105–127105. 102 indexed citations
16.
Li, Kunang, Chunchun Jia, Xuefeng Han, & Hongwen He. (2023). A Novel Minimal-Cost Power Allocation Strategy for Fuel Cell Hybrid Buses Based on Deep Reinforcement Learning Algorithms. Sustainability. 15(10). 7967–7967. 5 indexed citations
17.
Jia, Chunchun, Jiaming Zhou, Hongwen He, et al.. (2023). Health-conscious deep reinforcement learning energy management for fuel cell buses integrating environmental and look-ahead road information. Energy. 290. 130146–130146. 76 indexed citations
18.
Li, Kunang, Jiaming Zhou, Chunchun Jia, Fengyan Yi, & Caizhi Zhang. (2023). Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information. International Journal of Hydrogen Energy. 52. 821–833. 72 indexed citations
19.

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