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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:

Time-Frequency Image Analysis and Transfer Learning for Capacity Prediction of Lithium-Ion Batteries
Ma’d El-Dalahmeh, Maher Al‐Greer, Mo’ath El-Dalahmeh, et al.
Energies (2020) Vol. 13, Iss. 20, pp. 5447-5447
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

State Estimation Models of Lithium-Ion Batteries for Battery Management System: Status, Challenges, and Future Trends
Long Zhou, Xin Lai, Bin Li, et al.
Batteries (2023) Vol. 9, Iss. 2, pp. 131-131
Open Access | Times Cited: 75
Machine learning for battery systems applications: Progress, challenges, and opportunities
Zahra Nozarijouybari, Hosam K. Fathy
Journal of Power Sources (2024) Vol. 601, pp. 234272-234272
Closed Access | Times Cited: 27
A novel approach for health management online-monitoring of lithium-ion batteries based on model-data fusion
Xiaojuan Han, Zuran Wang, Zixuan Wei
Applied Energy (2021) Vol. 302, pp. 117511-117511
Closed Access | Times Cited: 55
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
Chuan Li, Huahua Zhang, Ping Ding, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 184, pp. 113576-113576
Closed Access | Times Cited: 40
Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries
Seyed Saeed Madani, Carlos Ziebert, Parisa Vahdatkhah, et al.
Batteries (2024) Vol. 10, Iss. 6, pp. 204-204
Open Access | Times Cited: 8
Statistical Learning for Accurate and Interpretable Battery Lifetime Prediction
Peter M. Attia, Kristen Severson, Jeremy D. Witmer
Journal of The Electrochemical Society (2021) Vol. 168, Iss. 9, pp. 090547-090547
Open Access | Times Cited: 52
Predicting future capacity of lithium-ion batteries using transfer learning method
Jia‐Hong Chou, Fu‐Kwun Wang, Shih‐Che Lo
Journal of Energy Storage (2023) Vol. 71, pp. 108120-108120
Closed Access | Times Cited: 16
Lithium Battery SOH Monitoring and an SOC Estimation Algorithm Based on the SOH Result
Jong-Hyun Lee, In-Soo Lee
Energies (2021) Vol. 14, Iss. 15, pp. 4506-4506
Open Access | Times Cited: 32
State-of-Health Prediction of Lithium-Ion Batteries Based on CNN-BiLSTM-AM
Yukai Tian, Jie Wen, Yanru Yang, et al.
Batteries (2022) Vol. 8, Iss. 10, pp. 155-155
Open Access | Times Cited: 25
Digital twin for electric vehicle battery management with incremental learning
Naga Durga Krishna Mohan Eaty, Priyanka Bagade
Expert Systems with Applications (2023) Vol. 229, pp. 120444-120444
Closed Access | Times Cited: 14
SOH Estimation of Li-Ion Battery Using Discrete Wavelet Transform and Long Short-Term Memory Neural Network
Min-Sick Park, Jong-kyu Lee, Byeong-Woo Kim
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3996-3996
Open Access | Times Cited: 19
Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses
Dengfeng Zhao, Haiyang Li, Fang Zhou, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 6, pp. 145-145
Open Access | Times Cited: 12
Capacity estimation of lithium-ion batteries based on adaptive empirical wavelet transform and long short-term memory neural network
Ma’d El-Dalahmeh, Maher Al‐Greer, Mo’ath El-Dalahmeh, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108046-108046
Open Access | Times Cited: 11
Transfer Learning Based on Transferability Measures for State of Health Prediction of Lithium-Ion Batteries
Zemenu Endalamaw Amogne, Fu‐Kwun Wang, Jia‐Hong Chou
Batteries (2023) Vol. 9, Iss. 5, pp. 280-280
Open Access | Times Cited: 10
Applying Neural Network to Health Estimation and Lifetime Prediction of Lithium-ion Batteries
Penghua Li, Xiankui Wu, Radu Grosu, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4224-4248
Closed Access | Times Cited: 3
Performance Evaluation of Convolutional Auto Encoders for the Reconstruction of Li-Ion Battery Electrode Microstructure
Mona Faraji Niri, Jimiama Mafeni Mase, James Marco
Energies (2022) Vol. 15, Iss. 12, pp. 4489-4489
Open Access | Times Cited: 14
Estimation of Online State of Charge and State of Health Based on Neural Network Model Banks Using Lithium Batteries
Jong-Hyun Lee, In-Soo Lee
Sensors (2022) Vol. 22, Iss. 15, pp. 5536-5536
Open Access | Times Cited: 13
Current trends on the use of deep learning methods for image analysis in energy applications
Mattia Casini, Paolo De Angelis, Eliodoro Chiavazzo, et al.
Energy and AI (2023) Vol. 15, pp. 100330-100330
Open Access | Times Cited: 7
Overcoming limited battery data challenges: A coupled neural network approach
Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu
International Journal of Energy Research (2021) Vol. 45, Iss. 14, pp. 20474-20482
Open Access | Times Cited: 10
Using Data From Similar Systems for Data-Driven Condition Diagnosis and Prognosis of Engineering Systems: A Review and an Outline of Future Research Challenges
Marcel Braig, Peter Zeiler
IEEE Access (2022) Vol. 11, pp. 1506-1554
Open Access | Times Cited: 7
Online Estimation Algorithm of SOC and SOH Using Neural Network for Lithium Battery
Jong-Hyun Lee, In-Soo Lee
2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) (2021), pp. 568-571
Closed Access | Times Cited: 7
Video prediction based on spatial information transfer and time backtracking
Peng Yuan, Yepeng Guan, Jizhong Huang
Signal Image and Video Processing (2022) Vol. 16, Iss. 3, pp. 825-833
Closed Access | Times Cited: 2
State of Health Estimation of Lithium-ion Batteries Based on Data-Driven Techniques
Ma’d El-Dalahmeh, Joseph Lillystone, Maher Al‐Greer, et al.
2022 57th International Universities Power Engineering Conference (UPEC) (2021), pp. 1-6
Closed Access | Times Cited: 2
Transfer learning LSTM model for battery useful capacity fade prediction
Aniruddha Gupta, Muhammad Aman Sheikh, Yashraj Tripathy, et al.
(2021), pp. 1-6
Closed Access | Times Cited: 2
Lithium-ion Batteries Capacity Degradation Trajectory Prediction Based on Decomposition Techniques and NARX Algorithm
Ma’d El-Dalahmeh, Imran Bashir, Maher Al‐Greer, et al.
2022 57th International Universities Power Engineering Conference (UPEC) (2022), pp. 1-6
Closed Access | Times Cited: 1
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