Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 1-25 of 66 citing articles:

A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
Xin Sui, Shan He, Søren Byg Vilsen, et al.
Applied Energy (2021) Vol. 300, pp. 117346-117346
Open Access | Times Cited: 276
State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives
Xing Shu, Shuhang Shen, Jiangwei Shen, et al.
iScience (2021) Vol. 24, Iss. 11, pp. 103265-103265
Open Access | Times Cited: 124
Dynamic Equivalent Circuit Model to Estimate State-of-Health of Lithium-Ion Batteries
Shehla Amir, Moneeba Gulzar, Muhammad Osama Tarar, et al.
IEEE Access (2022) Vol. 10, pp. 18279-18288
Open Access | Times Cited: 89
Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range
Shizhuo Liu, Yuwei Nie, Aihua Tang, et al.
eTransportation (2023) Vol. 18, pp. 100296-100296
Closed Access | Times Cited: 40
SOH early prediction of lithium-ion batteries based on voltage interval selection and features fusion
Simin Peng, Junchao Zhu, Tiezhou Wu, et al.
Energy (2024) Vol. 308, pp. 132993-132993
Closed Access | Times Cited: 27
Remaining useful life prediction of lithium-ion batteries by considering trend filtering segmentation under fuzzy information granulation
Guangshu Xia, Chenyu Jia, Yuanhao Shi, et al.
Energy (2025), pp. 134810-134810
Closed Access | Times Cited: 1
A data-driven interval forecasting model for building energy prediction using attention-based LSTM and fuzzy information granulation
Yue Li, Zheming Tong, Shuiguang Tong, et al.
Sustainable Cities and Society (2021) Vol. 76, pp. 103481-103481
Closed Access | Times Cited: 99
Data-driven state of health modelling—A review of state of the art and reflections on applications for maritime battery systems
Erik Vanem, Clara Bertinelli Salucci, Azzeddine Bakdi, et al.
Journal of Energy Storage (2021) Vol. 43, pp. 103158-103158
Open Access | Times Cited: 67
State of health estimation for fast-charging lithium-ion battery based on incremental capacity analysis
Ruomei Zhou, Rong Zhu, Cheng‐Geng Huang, et al.
Journal of Energy Storage (2022) Vol. 51, pp. 104560-104560
Closed Access | Times Cited: 65
A health indicator extraction and optimization for capacity estimation of Li-ion battery using incremental capacity curves
Wenjie Pan, Xuesong Luo, Maotao Zhu, et al.
Journal of Energy Storage (2021) Vol. 42, pp. 103072-103072
Closed Access | Times Cited: 58
Data-driven-aided strategies in battery lifecycle management: Prediction, monitoring, and optimization
Liqianyun Xu, Feng Wu, Renjie Chen, et al.
Energy storage materials (2023) Vol. 59, pp. 102785-102785
Closed Access | Times Cited: 39
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Sahar Khaleghi, Md Sazzad Hosen, Joeri Van Mierlo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114224-114224
Closed Access | Times Cited: 34
Critical Review on Improved Electrochemical Impedance Spectroscopy-Cuckoo Search-Elman Neural Network Modeling Methods for Whole-Life-Cycle Health State Estimation of Lithium-Ion Battery Energy Storage Systems
Ran Xiong, Shunli Wang, Paul Takyi‐Aninakwa, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 2, pp. 75-100
Open Access | Times Cited: 8
Online two-dimensional filter for anti-interference aging features extraction to accurately predict the battery health
Fei Xia, Chao Tang, Jiajun Chen
Measurement (2024) Vol. 234, pp. 114758-114758
Closed Access | Times Cited: 8
A hybrid neural network based on variational mode decomposition denoising for predicting state-of-health of lithium-ion batteries
Zifan Yuan, Tian Tian, Fuchong Hao, et al.
Journal of Power Sources (2024) Vol. 609, pp. 234697-234697
Closed Access | Times Cited: 8
State of health estimation of lithium-ion battery by removing model redundancy through aging mechanism
Xufan Zhu, Wei Wang, Guoping Zou, et al.
Journal of Energy Storage (2022) Vol. 52, pp. 105018-105018
Closed Access | Times Cited: 30
Health Diagnosis for Lithium-Ion Battery by Combining Partial Incremental Capacity and Deep Belief Network During Insufficient Discharge Profile
Yujie Wang, Kaiquan Li, Peng Pei, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 11, pp. 11242-11250
Closed Access | Times Cited: 27
Review of Abnormality Detection and Fault Diagnosis Methods for Lithium-Ion Batteries
Xinhua Liu, Mingyue Wang, Rui Cao, et al.
Automotive Innovation (2023) Vol. 6, Iss. 2, pp. 256-267
Closed Access | Times Cited: 17
Multi-objective parameter optimization of the Z-type air-cooling system based on artificial neural network
Leilei Jin, Huan Xi
Journal of Energy Storage (2024) Vol. 86, pp. 111284-111284
Closed Access | Times Cited: 6
Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles
Seyed Mahdi Miraftabzadeh, Michela Longo, Andrea Di Martino, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1973-1973
Open Access | Times Cited: 6
A comprehensive review on fuzzy logic control systems for all, hybrid, and fuel cell electric vehicles
Ahmet Beşkardeş, Yakup Hameş, Kemal Kaya
Soft Computing (2024) Vol. 28, Iss. 13-14, pp. 8183-8221
Closed Access | Times Cited: 6
Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends
Zhiqiang Lyu, Longxing Wu, Mohan Lyu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113827-113827
Closed Access | Times Cited: 5
State-of-Charge Estimation for Lithium-ion Batteries Based on Fuzzy Information Granulation and Asymmetric Gaussian Membership Function
Peihang Xu, Benlong Liu, Xiaoyi Hu, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 7, pp. 6635-6644
Closed Access | Times Cited: 39
Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network
Yuqian Fan, Yi Li, Jifei Zhao, et al.
Batteries (2023) Vol. 9, Iss. 11, pp. 539-539
Open Access | Times Cited: 12
An interval prediction approach based on fuzzy information granulation and linguistic description for remaining useful life of lithium-ion batteries
Xiaoqiong Pang, Zhen Zhao, Jie Wen, et al.
Journal of Power Sources (2022) Vol. 542, pp. 231750-231750
Closed Access | Times Cited: 21
Page 1 - Next Page

Scroll to top