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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:

The machine learning in lithium-ion batteries: A review
Liyuan Zhang, Zijun Shen, S. Mohammad Sajadi, et al.
Engineering Analysis with Boundary Elements (2022) Vol. 141, pp. 1-16
Closed Access | Times Cited: 25

Showing 25 citing articles:

A Review of Lithium-Ion Battery State of Charge Estimation Methods Based on Machine Learning
Feng Zhao, Yun Guo, Baoming Chen
World Electric Vehicle Journal (2024) Vol. 15, Iss. 4, pp. 131-131
Open Access | Times Cited: 21
LSTM-BP neural network analysis on solid-liquid phase change in a multi-channel thermal storage tank
Tian Xiao, Zhengguang Liu, Liu Lu, et al.
Engineering Analysis with Boundary Elements (2022) Vol. 146, pp. 226-240
Closed Access | Times Cited: 60
A numerical study on heat transfer performance using nanofluids in liquid cooling for cylindrical battery modules
B. Venkateswarlu, Santosh Chavan, Sang Woo Joo, et al.
Journal of Molecular Liquids (2023) Vol. 391, pp. 123257-123257
Closed Access | Times Cited: 31
Evaluating various machine learning algorithms for automated inspection of culverts
Pouria Mohammadi, Abbas Rashidi, Masoud Malekzadeh, et al.
Engineering Analysis with Boundary Elements (2023) Vol. 148, pp. 366-375
Closed Access | Times Cited: 30
Lithium-ion battery digitalization: Combining physics-based models and machine learning
Mahshid Nejati Amiri, Anne Håkansson, Odne Stokke Burheim, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 200, pp. 114577-114577
Open Access | Times Cited: 15
Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications
Hong Wang, Hengyu Cao, Liang Yang
ACS Applied Nano Materials (2024)
Closed Access | Times Cited: 13
Deep machine learning approaches for battery health monitoring
Sanjeev Kumar Singh, P. R. Budarapu
Energy (2024) Vol. 300, pp. 131540-131540
Closed Access | Times Cited: 11
Latest Advancements in Solar Photovoltaic-Thermoelectric Conversion Technologies: Thermal Energy Storage Using Phase Change Materials, Machine Learning, and 4E Analyses
Hisham Alghamdi, Chika Maduabuchi, Kingsley Okoli, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-29
Open Access | Times Cited: 10
Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning
Alireza Valizadeh, Mohammad Hossein Amirhosseini, Yousef Ghorbani
Computers & Chemical Engineering (2024) Vol. 183, pp. 108623-108623
Closed Access | Times Cited: 9
Machine learning for beyond Li-ion batteries: Powering the research
Aysegul Kilic, Burcu Oral, Damla Eroğlu, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109057-109057
Closed Access | Times Cited: 19
Machine Learning in Lithium‐Ion Battery Cell Production: A Comprehensive Mapping Study
Sajedeh Haghi, Marc Francis V. Hidalgo, Mona Faraji Niri, et al.
Batteries & Supercaps (2023) Vol. 6, Iss. 7
Open Access | Times Cited: 18
Battery Reliability Assessment in Electric Vehicles: A State-of-the-Art
Joseph Omakor, Suruz Miah, Hicham Chaoui
IEEE Access (2024) Vol. 12, pp. 77903-77931
Open Access | Times Cited: 7
Free vibration behaviour of bio-inspired helicoidal laminated composite panels of revolution under thermal conditions: Multi-output machine learning approach
Aman Garg, Li Li, Weiguang Zheng, et al.
Engineering Analysis with Boundary Elements (2024) Vol. 169, pp. 106024-106024
Closed Access | Times Cited: 6
Influence of uncertainties in a battery pack with air cooling for electric vehicles on temperature difference and volume of battery module
Anshu Sharma, Neeraj Kumar Shukla, Aman Garg, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115643-115643
Closed Access
Thermal Optimization Strategies for Li-Ion Batteries: Predictive Temperature Algorithm
Metallo Antonio
Journal of Thermal Science and Engineering Applications (2024) Vol. 16, Iss. 8
Closed Access | Times Cited: 3
Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions
Idris Temitope Bello, Hassan Raza, Anbu Malar Michael, et al.
EcoMat (2024)
Closed Access | Times Cited: 3
Recent Advances of Deposition Methods for High‐Performance Lithium–Sulfur Batteries – A Review
Ali Sadeghi, Nima Nikou, Alireza Tayefeh Parchillo, et al.
Energy Technology (2025)
Closed Access
Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization
Dianming Chu, Chenyu Gao, Zongchao Ji, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102616-102616
Closed Access
Machine learning-assisted investigation of the impact of lithium-ion de-embedding on the thermal conductivity of LiFePO4
Shiyi Li, Chengwei Wu, L. Liu, et al.
Applied Physics Letters (2023) Vol. 122, Iss. 26
Closed Access | Times Cited: 4
Enhancing SOC estimation accuracy via incremental learning techniques for second-life batteries
Joelton Deonei Gotz, Paulo Henrique Garcia de Souza, José Rodolfo Galvão, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 65, pp. 103753-103753
Closed Access | Times Cited: 1
Ensuring Safety and Reliability: An Overview of Lithium-Ion Battery Service Assessment
Cezar C. Comanescu
Batteries (2024) Vol. 11, Iss. 1, pp. 6-6
Open Access | Times Cited: 1
Material design modelling for optimisation of lithium battery fast charging
F. Fernandez, E. M. Gavilán-Arriazu, Manuel Otero
Journal of Solid State Electrochemistry (2024)
Closed Access
Mechanism of Laser‐Induced Self‐Deposition of Nanoparticles Identified by In Situ Observation
Liwei Chen, Kazuya Matsuda, Yusuke Ito, et al.
Laser & Photonics Review (2024)
Closed Access
Smart Deep Learning Model to Recognize PCM Optimization Performance on Solar Cooling System
K. Mahesh Prasanna, Sheeja V. Francis, Varuna Kumara, et al.
Electric Power Components and Systems (2023), pp. 1-12
Closed Access | Times Cited: 1
Smart Performance Evolution of a Solar Water Heating System with PCM by Using Deep Learning Approach
Archana Tamizharasan, Ramanath Kini M G, B. Suresh Kumar, et al.
Electric Power Components and Systems (2023) Vol. 51, Iss. 18, pp. 2210-2219
Closed Access
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