OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An interpretable state of health estimation method for lithium-ion batteries based on multi-category and multi-stage features
Guangzheng Lyu, Heng Zhang, Qiang Miao
Energy (2023) Vol. 283, pp. 129067-129067
Closed Access | Times Cited: 14

Showing 14 citing articles:

A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges
Yanxin Xie, Shunli Wang, Gexiang Zhang, et al.
Journal of Energy Chemistry (2024) Vol. 97, pp. 630-649
Closed Access | Times Cited: 29

State of health estimation of lithium-ion battery using dual adaptive unscented Kalman filter and Coulomb counting approach
H.M.A. Fahmy, Hany M. Hasanien, Ibrahim Alsaleh, et al.
Journal of Energy Storage (2024) Vol. 88, pp. 111557-111557
Closed Access | Times Cited: 18

Optimal parameters estimation of lithium-ion battery in smart grid applications based on gazelle optimization algorithm
Hany M. Hasanien, Ibrahim Alsaleh, Marcos Tostado‐Véliz, et al.
Energy (2023) Vol. 285, pp. 129509-129509
Closed Access | Times Cited: 25

Precise modeling of lithium-ion battery in industrial applications using Walrus optimization algorithm
H.M.A. Fahmy, Ayedh H. Alqahtani, Hany M. Hasanien
Energy (2024) Vol. 294, pp. 130859-130859
Closed Access | Times Cited: 15

Parameters estimation and sensitivity analysis of lithium-ion battery model uncertainty based on osprey optimization algorithm
Ayedh H. Alqahtani, H.M.A. Fahmy, Hany M. Hasanien, et al.
Energy (2024) Vol. 304, pp. 132204-132204
Closed Access | Times Cited: 14

Interpretable machine learning prediction for li-ion battery's state of health based on electrochemical impedance spectroscopy and temporal features
Minghan Bao, D Liu, Yuyao Wu, et al.
Electrochimica Acta (2024) Vol. 494, pp. 144449-144449
Closed Access | Times Cited: 6

Lithium battery state of health estimation using real-world vehicle data and an interpretable hybrid framework
Shuang Wen, Ni Lin, Shengxu Huang, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112623-112623
Closed Access | Times Cited: 4

Adaptive diagnosis and prognosis for Lithium-ion batteries via Lebesgue time model with multiple hidden state variables
Heng Zhang, Wei Chen, Qiang Miao
Applied Energy (2025) Vol. 392, pp. 125986-125986
Closed Access

Enhancing interpretability in data-driven battery capacity estimation through degradation mode analysis
Xinhong Feng, Yongzhi Zhang
Journal of Power Sources (2025) Vol. 642, pp. 236938-236938
Closed Access

A Comprehensive Review on Data‐Driven Methods of Lithium‐Ion Batteries State‐of‐Health Forecasting
Thien Pham, Hung Nguyen Bui, Mao Nguyen, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Closed Access

Hybrid extended Kalman filter with Newton Raphson method for lifetime prediction of lithium-ion batteries
H.M.A. Fahmy, Hany M. Hasanien, Mohammed Alharbi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

AM-MFF: A multi-feature fusion framework based on attention mechanism for robust and interpretable lithium-ion battery state of health estimation
Sizhe Chen, Jing Liu, Haoliang Yuan, et al.
Applied Energy (2024) Vol. 381, pp. 125116-125116
Closed Access | Times Cited: 2

Aging trajectory prediction of lithium-ion batteries based on mechanical-electrical features via nonlinear autoregressive and regression neural networks
Lili Gong, Junjie Ding, Kai Sun, et al.
Journal of Energy Storage (2024) Vol. 105, pp. 114696-114696
Closed Access | Times Cited: 1

Prognosis-enabled battery SOC estimation using a closed-loop approach with consideration of SOH degradation
Dongzhen Lyu, Bin Zhang, Enhui Liu, et al.
Journal of Energy Storage (2024), pp. 113713-113713
Closed Access | Times Cited: 1

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