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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:

Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects
Molla Shahadat Hossain Lipu, Shaheer Ansari, Md. Sazal Miah, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105752-105752
Closed Access | Times Cited: 108

Showing 51-75 of 108 citing articles:

A data-driven approach for diagnosing degradation in lithium-ion batteries using data transformation techniques and a novel deep neural network
Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Güneşer, Alaa Ali Hameed
Computers & Electrical Engineering (2024) Vol. 117, pp. 109313-109313
Closed Access | Times Cited: 2
Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning
Chenyu Sun, Taolin Lu, Qingbo Li, et al.
Batteries (2024) Vol. 10, Iss. 9, pp. 303-303
Open Access | Times Cited: 2
Dual time-scale state-coupled co-estimation of state of charge, state of health and remaining useful life for lithium-ion batteries via Deep Inter and Intra-Cycle Attention Network
Ningbo Cai, Yuwen Qin, Yonghong Cheng, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109797-109797
Closed Access | Times Cited: 6
An Overview of Data-Driven Methods for the State of Health Estimation
Panagiotis Eleftheriadis, Spyridon Giazitzis, Cemay Ozmalatyalilar, et al.
2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) (2023), pp. 1-6
Closed Access | Times Cited: 5
VRLA battery fault prediction for data center based on random forest model and feature enhancement method
Xinhan Li, Aiping Pang, Wen Yang, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108666-108666
Closed Access | Times Cited: 5
Support vector regression-based state of charge estimation for batteries: cloud vs non-cloud
Mohamed Ben Youssef, Imen Jarraya, Mohamed Ali Zdiri, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 697-697
Open Access | Times Cited: 1
A Simple Method for State of Health Estimation of Lithium-ion Batteries Based on the Constant Voltage Charging Curves
Qi Zhang, Xin Chen, Yaoze CAI, et al.
Electrochemistry (2024) Vol. 92, Iss. 7, pp. 077008-077008
Open Access | Times Cited: 1
An improved particle swarm optimization-cubature Kalman particle filtering method for state-of-charge estimation of large-scale energy storage lithium-ion batteries
Chao Wang, Shunli Wang, Gexiang Zhang, et al.
Journal of Energy Storage (2024) Vol. 100, pp. 113619-113619
Closed Access | Times Cited: 1
State-of-Health Estimation and Classification of Series-Connected Batteries by Using Deep Learning Based Hybrid Decision Approach
Volkan Yamaçlı
Heliyon (2024) Vol. 10, Iss. 20, pp. e39121-e39121
Open Access | Times Cited: 1
Optimized multi-head self-attention mechanism for SOH prediction in lithium-ion battery energy storage systems within microgrids
Xiaofen Fang, Zijie Chen, JianQing Li
Electric Power Systems Research (2024) Vol. 238, pp. 111182-111182
Closed Access | Times Cited: 1
Battery pack condition monitoring and characteristic state estimation: Challenges, techniques, and future prospectives
Shiyun Liu, Kang Li, James Yu
Journal of Energy Storage (2024) Vol. 105, pp. 114446-114446
Closed Access | Times Cited: 1
Co-estimation of state of health and remaining useful life for lithium-ion batteries using a hybrid optimized framework
Shaheer Ansari, M. A. Hannan, Afida Ayob, et al.
Journal of Energy Storage (2024) Vol. 105, pp. 114711-114711
Closed Access | Times Cited: 1
A Mini Review of the Impacts of Machine Learning on Mobility Electrifications
Kimiya Noor ali, Mohammad Hemmati, Seyed Mahdi Miraftabzadeh, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 6069-6069
Open Access | Times Cited: 1
State of energy estimation of the echelon-use lithium-ion battery based on Takagi–Sugeno fuzzy optimization
Enguang Hou, Zhen Wang, Zhixue Wang, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 4
An improved long short‐term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium‐ion batteries
Fan Wu, Shunli Wang, Wen Cao, et al.
International Journal of Circuit Theory and Applications (2023) Vol. 51, Iss. 8, pp. 3880-3896
Open Access | Times Cited: 4
Novel residual hybrid machine learning for solar activity prediction in smart cities
Rabiu Aliyu Abdulkadir, Mohammad Kamrul Hasan, Shayla Islam, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3931-3945
Open Access | Times Cited: 3
DLPformer: A Hybrid Mathematical Model for State of Charge Prediction in Electric Vehicles Using Machine Learning Approaches
Y. Wang, Niansheng Chen, Guangyu Fan, et al.
Mathematics (2023) Vol. 11, Iss. 22, pp. 4635-4635
Open Access | Times Cited: 3
A Simple Method for State of Health Estimation of Lithium-Ion Batteries Based on the Constant Voltage Charging Curves
Qi Zhang, Qiangqiang Liao, Xin Chen, et al.
(2024)
Closed Access
Remaining Useful Life Prediction of Ev Lithium-Ion Batteries Based on Vmd Decomposition and Bo-Gru
Weijie Tang, Jiayan Chen, Dongjiao Chen
(2024)
Closed Access
Generic Physics-Informed Machine Learning Framework for Battery Remaining Useful Life Prediction Using Small Early-Stage Lifecycle Data
DENG WEIKUN, Hung Lê, Christian Gogu, et al.
(2024)
Closed Access
Advances in performance degradation mechanism and safety assessment of LiFePO4 for energy storage
Zhongliang Xiao, Taotao Chen, Tingting Zhao, et al.
Nanotechnology (2024) Vol. 35, Iss. 29, pp. 292001-292001
Closed Access
Flexible Deep Learning-Based State of Health Estimation of Lithium-Ion Batteries with Features Extracted from Partial Charging Curves
Rucong Lai, Xiaoyu Li, Jie Wang
Batteries (2024) Vol. 10, Iss. 5, pp. 164-164
Open Access
State of Charge Estimation of a Lithium-Ion Battery in an Electric Vehicle Using the XGBoost Method
Elmahdi Fadlaoui, N. Masaif
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2024), pp. 91-97
Closed Access
A Multi-Time-Resolution Attention-Based Interaction Network for Co-Estimation of Multiple Battery States
Ruixue Liu, Benson Jiang
(2024)
Closed Access
Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries
Saad El Fallah, J. Kharbach, Jonas Vanagas, et al.
(2024), pp. 1-5
Closed Access

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