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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:

A data-driven fuzzy information granulation approach for battery state of health forecasting
Wenjie Pan, Qi Chen, Maotao Zhu, et al.
Journal of Power Sources (2020) Vol. 475, pp. 228716-228716
Closed Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

A multi-model feature fusion model for lithium-ion battery state of health prediction
Xing-Yan Yao, Long Chen, Liyue Hu, et al.
Journal of Energy Storage (2022) Vol. 56, pp. 106051-106051
Open Access | Times Cited: 20
State of health estimation of lithium-ion batteries based on remaining area capacity
Zhicheng Lin, Houpeng Hu, Wei Liu, et al.
Journal of Energy Storage (2023) Vol. 63, pp. 107078-107078
Closed Access | Times Cited: 11
Improving Li-ion battery health: Predicting remaining useful life using IWBOA-ELM algorithm
Yuji Wang, Qing He, Damin Zhang, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108547-108547
Closed Access | Times Cited: 11
A Collaborative Estimation Scheme for Lithium-Ion Battery State of Charge and State of Health Based on Electrochemical Model
Sheyin Wu, Wenjie Pan, Maotao Zhu
Journal of The Electrochemical Society (2022) Vol. 169, Iss. 9, pp. 090516-090516
Open Access | Times Cited: 18
Online state of health estimation for lithium-ion batteries based on a dual self-attention multivariate time series prediction network
Huanyu Wang, Jun Li, Xiaoxi Liu, et al.
Energy Reports (2022) Vol. 8, pp. 8953-8964
Open Access | Times Cited: 17
Progression of battery storage technology considering safe and sustainable stationary application
Mohit Murarka, Pranati Rani Purohit, Dibakar Rakshit, et al.
Journal of Cleaner Production (2022) Vol. 377, pp. 134279-134279
Closed Access | Times Cited: 16
Li-ion battery state-of-health estimation based on the combination of statistical and geometric features of the constant-voltage charging stage
Sizhe Chen, Zikang Liang, Haoliang Yuan, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108647-108647
Closed Access | Times Cited: 10
Novel strategy based on improved Kalman filter algorithm for state of health evaluation of hybrid electric vehicles Li-ion batteries during short- and longer term operating conditions
Pu Ren, Shunli Wang, Mingfang He, et al.
Journal of Power Electronics (2021) Vol. 21, Iss. 8, pp. 1190-1199
Closed Access | Times Cited: 20
A fast convergence strategy based on gray wolf optimization algorithm for co-estimation of battery state of charge and capacity
Mingdong Lei, Bin Wu, Peng Li, et al.
Electrochimica Acta (2023) Vol. 474, pp. 143525-143525
Closed Access | Times Cited: 7
Battery Health Estimation Based on Multidomain Transfer Learning
Hanmin Sheng, Biplob Ray, Shaben Kayamboo, et al.
IEEE Transactions on Power Electronics (2023) Vol. 39, Iss. 4, pp. 4758-4770
Closed Access | Times Cited: 7
Review of Cell Level Battery (Calendar and Cycling) Aging Models: Electric Vehicles
Gulsah Yarimca, Erdal Çetkin
Batteries (2024) Vol. 10, Iss. 11, pp. 374-374
Open Access | Times Cited: 2
An efficient state-of-health estimation method for lithium-ion batteries based on feature-importance ranking strategy and hybrid kernel extreme learning machine algorithm
Songhao Yang, Hongwu Qin, Zhenqi Liu, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114260-114260
Closed Access | Times Cited: 2
An integration and selection scheme for capacity estimation of Li-ion battery based on different state-of-charge intervals
Wenjie Pan, Tong Xu, Qi Chen, et al.
Journal of Energy Storage (2022) Vol. 53, pp. 105073-105073
Closed Access | Times Cited: 11
Research of a combination system based on fuzzy sets and multi-objective marine predator algorithm for point and interval prediction of wind speed
Yuansheng Qian, Jianzhou Wang, Haipeng Zhang, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 13, pp. 35781-35807
Closed Access | Times Cited: 10
Recent progresses in state estimation of lithium-ion battery energy storage systems: A review
Yi Yang, Qi Zhou, Li Zhang, et al.
Transactions of the Institute of Measurement and Control (2022), pp. 014233122211243-014233122211243
Closed Access | Times Cited: 8
Lithium-ion battery health state estimation based on feature reconstruction and optimized least squares support vector machine
Tiezhou Wu, Jian Kang, Junchao Zhu, et al.
Journal of Electrochemical Energy Conversion and Storage (2024) Vol. 22, Iss. 1
Closed Access | Times Cited: 1
A composite progressive approach alternating between electrochemical model and data-driven model for the state of health assessment of lithium-ion batteries
Dongchen Qin, Luyuan Li, Hongxia Wu, et al.
Journal of Energy Storage (2024) Vol. 97, pp. 112921-112921
Closed Access | Times Cited: 1
A Novel Autoregressive Rainflow—Integrated Moving Average Modeling Method for the Accurate State of Health Prediction of Lithium-Ion Batteries
Junhan Huang, Shunli Wang, Wenhua Xu, et al.
Processes (2021) Vol. 9, Iss. 5, pp. 795-795
Open Access | Times Cited: 11
An Adaptive Double Extended Kalman Filter Algorithm Based on Incremental Change Rate for Co-estimation of Battery SOC and Capacity
Mingdong Lei, Bin Wu, Peng Li, et al.
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 6, pp. 060513-060513
Open Access | Times Cited: 4
Considering the self-adaptive segmentation of time series in interval prediction of remaining useful life for lithium-ion battery
Xiaoqiong Pang, Zhen Zhao, Jie Wen, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 107862-107862
Closed Access | Times Cited: 4
A variable multi‐time‐scale based dual estimation framework for state‐of‐energy and maximum available energy of lithium‐ion battery
Shuzhi Zhang, Nian Peng, Xiongwen Zhang
International Journal of Energy Research (2021) Vol. 46, Iss. 3, pp. 2876-2892
Open Access | Times Cited: 10
A Fusion Method Based on EEMD, Pearson Correlation Analysis, Improved LSTM, and Gaussian Function-Trust Region Algorithm for State of Health Prediction of Lithium-Ion Batteries
Xiongbin Peng, Yuwu Li
Journal of Electrochemical Energy Conversion and Storage (2021) Vol. 19, Iss. 3
Closed Access | Times Cited: 8
Cross‐domain state‐of‐health estimation of Li‐ion batteries based on transfer neural network with soft‐dynamic time warping
Wenliang Zhang, Jingwei Hu, Bing Lin, et al.
Energy Science & Engineering (2023) Vol. 11, Iss. 9, pp. 3137-3148
Open Access | Times Cited: 2
Comparison of battery modeling regression methods for application to unmanned aerial vehicles
J Martin, Justin N. Ouwerkerk, Anthony P. Lamping, et al.
Complex Engineering Systems (2022) Vol. 2, pp. 5-5
Open Access | Times Cited: 3
An interval forecast model for infectious diseases using fuzzy information granulation and spatial-temporal graph neural network
Junhua Hu, Yingling Zhou, Huiyu Li, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 47, Iss. 1-2, pp. 83-97
Closed Access

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