Penghua Li

3.3k total citations · 4 hit papers
80 papers, 2.4k citations indexed

About

Penghua Li is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Penghua Li has authored 80 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Automotive Engineering, 30 papers in Control and Systems Engineering and 30 papers in Electrical and Electronic Engineering. Recurrent topics in Penghua Li's work include Advanced Battery Technologies Research (29 papers), Fault Detection and Control Systems (18 papers) and Advancements in Battery Materials (18 papers). Penghua Li is often cited by papers focused on Advanced Battery Technologies Research (29 papers), Fault Detection and Control Systems (18 papers) and Advancements in Battery Materials (18 papers). Penghua Li collaborates with scholars based in China, Portugal and Tajikistan. Penghua Li's co-authors include Jie Hou, Zhongwei Deng, Fengwei Chen, Xianke Lin, Xiao Hu, Qingyu Xiong, Liping Chen, António M. Lopes, Xiaolei Bian and Luo De-chao and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Penghua Li

72 papers receiving 2.3k citations

Hit Papers

State-of-health estimation and remaining useful life pred... 2020 2026 2022 2024 2020 2021 2022 2025 100 200 300
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.

  1. State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network
    2020 355 citations Penghua Li, Jie Hou et al. profile →
  2. Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data
    2021 243 citations Zhongwei Deng, Xiao Hu et al. IEEE Transactions on Power Electronics profile →
  3. A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model
    2022 204 citations Xinyu Gu, Khay Wai See et al. Energy profile →
  4. Adaptive Linear Time-Varying Parameter-Varying Modeling of Lithium-Ion Batteries Considering Aging Phenomenon
    2025 17 citations Jie Hou, Penghua Li et al. IEEE Transactions on Power Electronics profile →

Peers

Penghua Li
Jie Hou China
Chetan S. Kulkarni United States
Michael Buchholz Germany
Nasser L. Azad Canada
Zhen Liu China
Marcantonio Catelani Italy
Youren Wang China
Chaolong Zhang China
Hicham Chaoui Canada
Guijun Ma China
Jie Hou China
Penghua Li
Citations per year, relative to Penghua Li Penghua Li (= 1×) peers Jie Hou

Countries citing papers authored by Penghua Li

Since Specialization
Citations

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

Fields of papers citing papers by Penghua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Penghua Li. A scholar is included among the top collaborators of Penghua Li 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 Penghua Li. Penghua Li 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.
Wu, Xiaobo, Liping Chen, António M. Lopes, et al.. (2025). Fractional variable-order observer-based method for state-of-charge estimation of lithium-ion batteries. Applied Energy. 389. 125775–125775. 7 indexed citations
2.
Li, Penghua, et al.. (2025). LDNet-RUL: Lightweight Deformable Neural Network for Remaining Useful Life Prognostics of Lithium-Ion Batteries. IEEE Transactions on Power Electronics. 40(9). 13514–13528. 8 indexed citations
3.
Tang, Xuexi, Zhitao Liu, Penghua Li, & Hongye Su. (2025). Global–Local Feature Fusion for Accurate Long-Term Battery State-of-Health Forecast. IEEE Transactions on Transportation Electrification. 12(1). 974–985. 1 indexed citations
4.
Li, Penghua, et al.. (2025). Channel Independence Bidirectional Gated Mamba With Interactive Recurrent Mechanism for Time Series Forecasting. IEEE Transactions on Industrial Electronics. 72(12). 14593–14602. 3 indexed citations
5.
Li, Penghua, et al.. (2025). Physics-informed mamba neural network with potential knowledge for state-of-charge estimation of lithium-ion batteries. Journal of Energy Storage. 123. 116546–116546. 6 indexed citations
6.
7.
8.
Li, Penghua, et al.. (2024). Applying Neural Network to Health Estimation and Lifetime Prediction of Lithium-Ion Batteries. IEEE Transactions on Transportation Electrification. 11(1). 4224–4248. 33 indexed citations
9.
Xiang, Sheng, et al.. (2024). Dynamic Self-Learning Neural Network and Its Application for Rotating Equipment RUL Prediction. IEEE Internet of Things Journal. 12(9). 12257–12266. 8 indexed citations
10.
Chen, Liping, António M. Lopes, Huafeng Li, et al.. (2023). A new SOH estimation method for Lithium-ion batteries based on model-data-fusion. Energy. 286. 129597–129597. 104 indexed citations
11.
Hou, Jie, Jiawei Liu, Fengwei Chen, et al.. (2023). Robust lithium-ion state-of-charge and battery parameters joint estimation based on an enhanced adaptive unscented Kalman filter. Energy. 271. 126998–126998. 70 indexed citations
12.
Yang, Pingan, Jiufei Luo, Rui Li, et al.. (2023). Preparation and structure optimization of 2D MXene nanocomposites for microwave absorbing application. Materials Today Physics. 40. 101291–101291. 41 indexed citations
13.
Bao, Xinyuan, Liping Chen, António M. Lopes, et al.. (2023). Hybrid deep neural network with dimension attention for state-of-health estimation of Lithium-ion Batteries. Energy. 278. 127734–127734. 70 indexed citations
14.
Gu, Xinyu, et al.. (2022). A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model. Energy. 262. 125501–125501. 204 indexed citations breakdown →
15.
Li, Penghua, et al.. (2022). Adaptive Mask Based Attention Mechanism for Mandarin Speech Recognition. 2022 34th Chinese Control and Decision Conference (CCDC). 2816–2820.
16.
Li, Penghua, Yifeng Yang, Radu Grosu, et al.. (2021). Driver Distraction Detection Using Octave-Like Convolutional Neural Network. IEEE Transactions on Intelligent Transportation Systems. 23(7). 8823–8833. 31 indexed citations
17.
Che, Yunhong, Zhongwei Deng, Penghua Li, et al.. (2021). State of health prognostics for series battery packs: A universal deep learning method. Energy. 238. 121857–121857. 94 indexed citations
18.
Deng, Zhongwei, Xiao Hu, Penghua Li, Xianke Lin, & Xiaolei Bian. (2021). Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data. IEEE Transactions on Power Electronics. 37(5). 5021–5031. 243 indexed citations breakdown →
19.
Li, Penghua, et al.. (2018). The asymptotic normality of internal estimator for nonparametric regression. Journal of Inequalities and Applications. 2018(1). 231–231. 2 indexed citations
20.
Li, Penghua, Xiaoqin Li, & Kehan Wu. (2017). Complete convergence of randomly weighted END sequences and its application. Journal of Inequalities and Applications. 2017(1). 182–182. 14 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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