Quanqing Yu

6.8k total citations · 6 hit papers
83 papers, 5.3k citations indexed

About

Quanqing Yu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Quanqing Yu has authored 83 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Automotive Engineering, 70 papers in Electrical and Electronic Engineering and 26 papers in Control and Systems Engineering. Recurrent topics in Quanqing Yu's work include Advanced Battery Technologies Research (78 papers), Advancements in Battery Materials (41 papers) and Electric Vehicles and Infrastructure (27 papers). Quanqing Yu is often cited by papers focused on Advanced Battery Technologies Research (78 papers), Advancements in Battery Materials (41 papers) and Electric Vehicles and Infrastructure (27 papers). Quanqing Yu collaborates with scholars based in China, Australia and United States. Quanqing Yu's co-authors include Rui Xiong, Jiayi Cao, Fengchun Sun, Cheng Lin, Weixiang Shen, Hongwen He, Le Yi Wang, Aihua Tang, Michael Pecht and Wanzhou Sun and has published in prestigious journals such as Journal of Power Sources, Journal of Cleaner Production and IEEE Transactions on Industrial Electronics.

In The Last Decade

Quanqing Yu

80 papers receiving 5.1k citations

Hit Papers

5 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.

Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

2017 720 citations Rui Xiong, Quanqing Yu et al. profile →
Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle

2017 476 citations Rui Xiong, Quanqing Yu et al. Applied Energy profile →
Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles

2020 357 citations Rui Xiong, Quanqing Yu et al. Applied Energy profile →
Challenges and outlook for lithium-ion battery fault diagnosis methods from the laboratory to real world applications

2023 140 citations Quanqing Yu, Rui Xiong et al. eTransportation profile →
OCV-SOC-Temperature Relationship Construction and State of Charge Estimation for a Series– Parallel Lithium-Ion Battery Pack

2023 124 citations Quanqing Yu, Yukun Huang et al. profile →
Towards a safer lithium-ion batteries: A critical review on cause, characteristics, warning and disposal strategy for thermal runaway

2023 120 citations Quanqing Yu, Rui Xiong et al. profile →

Peers

Quanqing Yu

EEE

CSE

SRRQ

Jinhao Meng China

Yunlong Shang China

Jinpeng Tian China

Gregory L. Plett United States

Weige Zhang China

Widanalage Dhammika Widanage United Kingdom

Phillip J. Kollmeyer Canada

Ji Wu China

Zhongwei Deng China

Guangzhong Dong China

Jinhao Meng China

Quanqing Yu

4.6k ×1.0

4.0k ×1.0

EEE

1.5k ×0.9

CSE

539 ×1.2

SRRQ

211 ×1.5

Citations per year, relative to Quanqing Yu Quanqing Yu (= 1×) peers Jinhao Meng

Countries citing papers authored by Quanqing Yu

Since Specialization

Citations

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

Fields of papers citing papers by Quanqing Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanqing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Quanqing Yu. A scholar is included among the top collaborators of Quanqing Yu 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 Quanqing Yu. Quanqing Yu 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

Yu, Quanqing, et al.. (2025). Li-ion battery swelling force: Multiphysics coupling modeling and in-situ quantification for safety enhancement. Green Energy and Intelligent Transportation. 5(4). 100384–100384.

Tang, Aihua, et al.. (2025). Adaptive engineering-assisted deep learning for battery module health monitoring across dynamic operations. Energy. 322. 135332–135332. 3 indexed citations

Nie, Yuwei, et al.. (2024). Deep transfer learning enables battery state of charge and state of health estimation. Energy. 294. 130779–130779. 32 indexed citations

Tang, Aihua, et al.. (2024). Battery state of health estimation under dynamic operations with physics-driven deep learning. Applied Energy. 370. 123632–123632. 46 indexed citations

Yu, Quanqing, et al.. (2024). Machine learning enables rapid state of health estimation of each cell within battery pack. Applied Energy. 375. 124165–124165. 31 indexed citations

Tang, Aihua, et al.. (2024). Deep learning driven battery voltage-capacity curve prediction utilizing short-term relaxation voltage. eTransportation. 22. 100378–100378. 11 indexed citations

Wang, Can, R. Wang, Chengming Zhang, & Quanqing Yu. (2024). Coupling effect of state of charge and loading rate on internal short circuit of lithium-ion batteries induced by mechanical abuse. Applied Energy. 375. 124138–124138. 29 indexed citations

Wang, Chun, Qiang Li, Aihua Tang, & Quanqing Yu. (2024). Equivalent state of charge estimation method of hybrid energy storage system for electric vehicles based on multiple operating modes. Journal of Energy Storage. 100. 113627–113627. 4 indexed citations

Tang, Aihua, et al.. (2024). Data-physics-driven estimation of battery state of charge and capacity. Energy. 294. 130776–130776. 30 indexed citations

10.

Liu, Xiaolong, et al.. (2024). State of charge estimation of LiFePO4 battery in AB hybrid battery packs. Journal of Energy Storage. 108. 115070–115070. 5 indexed citations

11.

Nie, Yuwei, et al.. (2023). Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range. eTransportation. 18. 100296–100296. 49 indexed citations

12.

Tang, Aihua, et al.. (2023). State of health estimation based on inconsistent evolution for lithium-ion battery module. Energy. 286. 129575–129575. 16 indexed citations

13.

Tang, Aihua, Yihan Jiang, Quanqing Yu, & Zhigang Zhang. (2023). A hybrid neural network model with attention mechanism for state of health estimation of lithium-ion batteries. Journal of Energy Storage. 68. 107734–107734. 96 indexed citations

14.

Zhang, Yongzhi, Chun Wang, Quanqing Yu, & Ling Zheng. (2023). Battery aging-minimal speed control of autonomous heavy-duty electric trucks in adaptation to highway topography and traffic. Science China Technological Sciences. 66(10). 2942–2957. 9 indexed citations

15.

Zhao, Lijun, et al.. (2023). State of charge estimation for lithium-ion batteries based on cross-domain transfer learning with feedback mechanism. Journal of Energy Storage. 70. 108037–108037. 53 indexed citations

16.

Yu, Quanqing, Yuwei Nie, Simin Peng, et al.. (2023). Evaluation of the safety standards system of power batteries for electric vehicles in China. Applied Energy. 349. 121674–121674. 76 indexed citations

17.

Tang, Aihua, et al.. (2023). Week-level early warning strategy for thermal runaway risk based on real-scenario operating data of electric vehicles. eTransportation. 19. 100308–100308. 21 indexed citations

18.

Liu, Rui, Chun Wang, Aihua Tang, Yongzhi Zhang, & Quanqing Yu. (2023). A twin delayed deep deterministic policy gradient-based energy management strategy for a battery-ultracapacitor electric vehicle considering driving condition recognition with learning vector quantization neural network. Journal of Energy Storage. 71. 108147–108147. 30 indexed citations

19.

Yu, Quanqing, et al.. (2022). A branch current estimation and correction method for a parallel connected battery system based on dual BP neural networks. Green Energy and Intelligent Transportation. 1(2). 100029–100029. 60 indexed citations

20.

Yu, Quanqing, Rui Xiong, Le Yi Wang, & Cheng Lin. (2018). A Comparative Study on Open Circuit Voltage Models for Lithium-ion Batteries. Chinese Journal of Mechanical Engineering. 31(1). 106 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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