Pengliang Qin

837 total citations · 1 hit paper
14 papers, 652 citations indexed

About

Pengliang Qin is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Pengliang Qin has authored 14 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Automotive Engineering, 9 papers in Electrical and Electronic Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Pengliang Qin's work include Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (6 papers) and Electric Vehicles and Infrastructure (5 papers). Pengliang Qin is often cited by papers focused on Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (6 papers) and Electric Vehicles and Infrastructure (5 papers). Pengliang Qin collaborates with scholars based in China, Germany and United States. Pengliang Qin's co-authors include Kun Li, Zhen Zhao, Linhui Zhao, Zhiyuan Liu, Huixin Tian, Zhiyuan Liu, Vladimir V. Vantsevich and Kai Jia and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and Energy.

In The Last Decade

Pengliang Qin

11 papers receiving 635 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.

A review of the state of health for lithium-ion batteries: Research status and suggestions

2020 488 citations Pengliang Qin, Kun Li et al. Journal of Cleaner Production profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pengliang Qin China	7	600	517	161	126	32	14	652
Wenkai Gao China	8	890 1.5×	760 1.5×	248 1.5×	108 0.9×	21 0.7×	9	931
Jiangtao He China	9	558 0.9×	498 1.0×	144 0.9×	87 0.7×	23 0.7×	18	606
Mohammad Charkhgard Iran	6	793 1.3×	718 1.4×	238 1.5×	41 0.3×	16 0.5×	7	837
Xianghui Qiu China	8	520 0.9×	465 0.9×	109 0.7×	69 0.5×	27 0.8×	12	586
Mina Naguib Canada	8	416 0.7×	388 0.8×	111 0.7×	30 0.2×	17 0.5×	18	473
Weiping Diao United States	13	699 1.2×	656 1.3×	118 0.7×	119 0.9×	32 1.0×	18	763
Calum Strange United Kingdom	6	379 0.6×	337 0.7×	62 0.4×	77 0.6×	18 0.6×	7	403
Yishan Cai China	11	655 1.1×	613 1.2×	114 0.7×	50 0.4×	16 0.5×	12	698
Sumana Chowdhuri India	7	195 0.3×	226 0.4×	122 0.8×	27 0.2×	28 0.9×	33	313
Verena Klass Sweden	7	548 0.9×	483 0.9×	122 0.8×	80 0.6×	14 0.4×	12	574

Countries citing papers authored by Pengliang Qin

Since Specialization

Citations

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

Fields of papers citing papers by Pengliang Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengliang Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Pengliang Qin. A scholar is included among the top collaborators of Pengliang Qin 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 Pengliang Qin. Pengliang Qin 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:

14 of 14 papers shown

Qin, Pengliang & Linhui Zhao. (2025). A Novel Data-Driven Framework Under Limited Sensors for In-Pack Cell Temperature Estimation. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.

Qin, Pengliang & Linhui Zhao. (2025). A novel composite fractional order battery model with online parameter identification and truncation approximation calculation. Energy. 322. 135561–135561. 3 indexed citations

Qin, Pengliang & Linhui Zhao. (2025). Vehicle-cloud collaboration method enables accurate battery state of health estimation under real-world driving conditions. Energy. 334. 137829–137829. 1 indexed citations

Jia, Kai, Linhui Zhao, & Pengliang Qin. (2025). An Energy-Based Method for Predicting Battery Aging using Newly Constructed Features in Fractal Gradient-Enhanced LSTM Networks. IEEE Transactions on Transportation Electrification. 1–1.

Qin, Pengliang & Linhui Zhao. (2025). State-of-Health Estimation Under Multistage Constant Current Charging Pattern Considering Future Charging Current Prediction. IEEE Transactions on Transportation Electrification. 11(4). 8847–8862.

Qin, Pengliang & Linhui Zhao. (2024). Enhancing data-driven-based state of health estimation for diverse battery applications through effective feature construction. Energy. 309. 133156–133156. 3 indexed citations

Qin, Pengliang & Linhui Zhao. (2023). A Novel Battery Model Considering the Battery Actual Reaction Mechanism for Model Parameters and SOC Joint Estimation. IEEE Transactions on Industrial Electronics. 71(6). 5496–5507. 19 indexed citations

Qin, Pengliang & Linhui Zhao. (2023). An Online Transfer Learning Framework for Cell SOC Online Estimation of Battery Pack in Complex Application Conditions. IEEE Transactions on Transportation Electrification. 10(3). 5974–5986. 8 indexed citations

Zhao, Linhui, et al.. (2023). A Linear Variable Parameter Observer-Based Road Profile Height Estimation for Suspension Nonlinear Dynamics Improvements. IEEE Transactions on Vehicular Technology. 72(7). 8433–8448. 6 indexed citations

10.

Qin, Pengliang & Linhui Zhao. (2023). A Novel Transfer Learning-Based Cell SOC Online Estimation Method for a Battery Pack in Complex Application Conditions. IEEE Transactions on Industrial Electronics. 71(2). 1606–1615. 22 indexed citations

11.

Zhao, Linhui & Pengliang Qin. (2022). Accurate SOC Prediction and Monitoring of Each Cell in a Battery Pack Considering Various Influencing Factors. IEEE Transactions on Industrial Electronics. 70(1). 1025–1035. 19 indexed citations

12.

Qin, Pengliang, Linhui Zhao, & Zhiyuan Liu. (2021). State of health prediction for lithium-ion battery using a gradient boosting-based data-driven method. Journal of Energy Storage. 47. 103644–103644. 56 indexed citations

13.

Qin, Pengliang, et al.. (2020). A review of the state of health for lithium-ion batteries: Research status and suggestions. Journal of Cleaner Production. 261. 120813–120813. 488 indexed citations breakdown →

14.

Tian, Huixin & Pengliang Qin. (2020). State of health prediction for lithium‐ion batteries with a novel online sequential extreme learning machine method. International Journal of Energy Research. 45(2). 2383–2397. 27 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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