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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:

State of charge estimation of an electric vehicle's battery using tiny neural network embedded on small microcontroller units
Yahia Mazzi, Hicham Ben Sassi, Ahmed Gaga, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 6, pp. 8102-8119
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review
Aaruththiran Manoharan, Mumtaj Begam, Vimal Rau Aparow, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105384-105384
Closed Access | Times Cited: 193
Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach
Nourallah Ghaeminezhad, Quan Ouyang, Jingwen Wei, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108707-108707
Closed Access | Times Cited: 43
Electric vehicles survey and a multifunctional artificial neural network for predicting energy consumption in all-electric vehicles
Bukola Peter Adedeji
Results in Engineering (2023) Vol. 19, pp. 101283-101283
Open Access | Times Cited: 42
Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
Muhammed Cavus, Dilum Dissanayake, MC Bell
Energies (2025) Vol. 18, Iss. 5, pp. 1041-1041
Open Access | Times Cited: 3
Lithium-ion battery state of health estimation using a hybrid model based on a convolutional neural network and bidirectional gated recurrent unit
Yahia Mazzi, Hicham Ben Sassi, Fatima Errahimi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107199-107199
Closed Access | Times Cited: 34
State of charge estimation of Li-ion batteries based on deep learning methods and particle-swarm-optimized Kalman filter
Menghan Li, Chaoran Li, Qiang Zhang, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107191-107191
Closed Access | Times Cited: 22
Artificial Intelligence Approaches for Advanced Battery Management System in Electric Vehicle Applications: A Statistical Analysis towards Future Research Opportunities
Molla Shahadat Hossain Lipu, Md. Sazal Miah, Taskin Jamal, et al.
Vehicles (2023) Vol. 6, Iss. 1, pp. 22-70
Open Access | Times Cited: 16
A Case Study of a Tiny Machine Learning Application for Battery State-of-Charge Estimation
Spyridon Giazitzis, Maciej Sakwa, Sonia Leva, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1964-1964
Open Access | Times Cited: 5
Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches
Yunhao Wu, Dongxin Bai, Kai Zhang, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 2
Open Access
Battery Management System in Electric Vehicle for Energy Storage System Using Extended Kalman Filter and Coulomb Counting Methods
Bhushan Purshottam Saoji, Sushama D. Wankhade, Jotiram Krishna Deshmukh, et al.
Energy Storage (2025) Vol. 7, Iss. 3
Closed Access
Enhanced state of charge estimation in lithium-ion batteries based on Time-Frequency-Net with time-domain and frequency-domain features
X. Wang, Yingmin Yi, Y.F. Yuan, et al.
Energy (2025) Vol. 318, pp. 134722-134722
Closed Access
A New Lithium Polymer Battery Dataset with Different Discharge Levels: SOC Estimation of Lithium Polymer Batteries with Different Convolutional Neural Network Models
Göksu Taş, Ali Uysal, Cafer Bal
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 5, pp. 6873-6888
Closed Access | Times Cited: 10
EdgeCog: A Real-Time Bearing Fault Diagnosis System Based on Lightweight Edge Computing
Lei Fu, Ke Yan, Y. Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 10
Machine Learning-based Electric Vehicle Battery State of Charge Prediction and Driving Range Estimation for Rural Applications
Magdy Abdullah Eissa, Pingen Chen
IFAC-PapersOnLine (2023) Vol. 56, Iss. 3, pp. 355-360
Open Access | Times Cited: 7
Energy Parameter Modeling in Plug-in Hybrid Electric Vehicles Using Supervised Machine Learning Approaches
Bukola Peter Adedeji
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100584-100584
Open Access | Times Cited: 2
Tiny Machine Learning Battery State-of-Charge Estimation Hardware Accelerated
Danilo Pau, Alberto Aniballi
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6240-6240
Open Access | Times Cited: 2
Machine Learning-based Smart Irrigation Monitoring System for Agriculture Applications Using Free and Low-Cost IoT Platform
Youness Hakam, Ahmed Gaga, Benachir El Haddadi
(2022), pp. 189-192
Closed Access | Times Cited: 11
The State of Charge Estimation of Lithium-Ion Battery Based on Battery Capacity
Junhong Li, Zeyu Jiang, Yizhe Jiang, et al.
Journal of The Electrochemical Society (2022) Vol. 169, Iss. 12, pp. 120539-120539
Closed Access | Times Cited: 8
Tiny Machine Learning for Li-ion Battery State of Health Estimation
Spyridon Giazitzis, Maciej Sakwa, Emanuèle Ogliari, et al.
(2024), pp. 1019-1024
Closed Access | Times Cited: 1
A soft actor-critic reinforcement learning framework for optimal energy management in electric vehicles with hybrid storage
Yahia Mazzi, Hicham Ben Sassi, Fatima Errahimi, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113344-113344
Closed Access | Times Cited: 1
Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells
Jui‐Sheng Chou, Tsung‐Chi Cheng, Chi‐Yun Liu, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 21001-21027
Open Access | Times Cited: 7
Power transfer control using the integral sliding mode and adaptive backstepping control schemes within the framework of the vehicle-to-house technology
Hicham Ben Sassi, Yahia Mazzi, Fatima Errahimi, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 4, pp. 3817-3817
Open Access | Times Cited: 3
Methods for estimating lithium-ion battery state of charge for use in electric vehicles: a review
Ahmed Gaga, Adil Tannouche, Youness Mehdaoui, et al.
Energy Harvesting and Systems (2022) Vol. 9, Iss. 2, pp. 211-225
Closed Access | Times Cited: 5
Study on Early Warning of Karst Collapse Based on the BP Neural Network
Dongqin Chen
Journal of Chemistry (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 3
Detection and analysis of student behavior in college labor education courses based on YOLOv5 network
Ke Zhang
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 2, pp. 1057-1069
Closed Access
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