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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:

Prediction of EV Charging Behavior Using Machine Learning
Sakib Shahriar, A. R. Al-Ali, Ahmed Osman, et al.
IEEE Access (2021) Vol. 9, pp. 111576-111586
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Machine learning for spatial analyses in urban areas: a scoping review
Ylenia Casali, Nazli Yonca Aydin, Tina Comes
Sustainable Cities and Society (2022) Vol. 85, pp. 104050-104050
Open Access | Times Cited: 88
A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108789-108789
Closed Access | Times Cited: 51
AI on Wheels: Bibliometric Approach to Mapping of Research on Machine Learning and Deep Learning in Electric Vehicles
Adrian Domenteanu, Liviu‐Adrian Cotfas, Paul Diaconu, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 378-378
Open Access | Times Cited: 2
Deep Learning LSTM Recurrent Neural Network Model for Prediction of Electric Vehicle Charging Demand
Jaikumar Shanmuganathan, T. Aruldoss Albert Victoire, Gobu Balraj, et al.
Sustainability (2022) Vol. 14, Iss. 16, pp. 10207-10207
Open Access | Times Cited: 38
A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle
Sakib Shahriar, Sonal Allana, Seyed Mehdi Hazratifard, et al.
IEEE Access (2023) Vol. 11, pp. 61829-61854
Open Access | Times Cited: 35
Building-centric investigation into electric vehicle behavior: A survey-based simulation method for charging system design
Xiaochen Liu, Zhi Fu, Siyuan Qiu, et al.
Energy (2023) Vol. 271, pp. 127010-127010
Closed Access | Times Cited: 31
A data-driven framework for medium-term electric vehicle charging demand forecasting
Alexander Orzechowski, Loren Lugosch, Hao Shu, et al.
Energy and AI (2023) Vol. 14, pp. 100267-100267
Open Access | Times Cited: 24
Predictive machine learning in optimizing the performance of electric vehicle batteries: Techniques, challenges, and solutions
Vankamamidi S. Naresh, Guduru V. N. S. R. Ratnakara Rao, D. V. N. Prabhakar
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Closed Access | Times Cited: 13
ML-Based Energy Consumption and Distribution Framework Analysis for EVs and Charging Stations in Smart Grid Environment
Fenil Ramoliya, Chinmay Trivedi, Krisha Darji, et al.
IEEE Access (2024) Vol. 12, pp. 23319-23337
Open Access | Times Cited: 9
Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review
Seyed Morteza Moghimi, T. Aaron Gulliver, Ilamparithi Thirumai Chelvan
Energies (2024) Vol. 17, Iss. 3, pp. 555-555
Open Access | Times Cited: 7
Comparative studies of EV fleet smart charging approaches for demand response in solar-powered building communities
Pei Huang, Joakim Munkhammar, Reza Fachrizal, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104094-104094
Closed Access | Times Cited: 29
Electric vehicle hosting capacity analysis: Challenges and solutions
Ashish Kumar Karmaker, K. Prakash, Md. Nazrul Islam Siddique, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 113916-113916
Open Access | Times Cited: 19
Enhancing EV charging predictions: a comprehensive analysis using K-nearest neighbours and ensemble stack generalization
B. Anil Kumar, B. Jyothi, Arvind R. Singh, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4011-4037
Closed Access | Times Cited: 6
Introduction to artificial intelligence-empowered electric vehicles in smart grids
Divyani Jigyasu, Sunil Kumar, Shally Vats
Elsevier eBooks (2024), pp. 3-31
Closed Access | Times Cited: 5
Analysis of Electric Vehicle Charging Behavior Based on Gaussian Mixture Model Clustering
Peng Peng, Zhaosheng Zhang, Jinli Li, et al.
Lecture notes in electrical engineering (2025), pp. 383-390
Closed Access
Big data analytics for photovoltaic and electric vehicle management in sustainable grid integration
Apoorva Choumal, M. Rizwan, Shatakshi Jha
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 1
Closed Access
Enhancing Electric Vehicle Charging Infrastructure: A Framework for Efficient Charging Point Management
C. B. Prajeesh, Krishna Priya R, Anju S. Pillai, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2025), pp. 100926-100926
Open Access
Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques
Raymond O. Kene, Thomas O. Olwal
World Electric Vehicle Journal (2025) Vol. 16, Iss. 2, pp. 107-107
Open Access
Congestion-aware multi-objective scheduling and control for a user-centered EV charging hub
Bart Nijenhuis, Gerwin Hoogsteen, Johann L. Hurink
Sustainable Energy Grids and Networks (2025), pp. 101656-101656
Open Access
Machine learning approaches for the prediction of public EV charge point flexibility
Federica Bellizio, Bauke W. Dijkstra, Angelika Fertig, et al.
Sustainable Energy Grids and Networks (2025), pp. 101657-101657
Open Access
Battery Current Estimation and Prediction During Charging with Ant Colony Optimization Algorithm
Selamat Muslimin, Ekawati Prihatini, Nyayu Latifah Husni, et al.
Digital (2025) Vol. 5, Iss. 1, pp. 6-6
Open Access
Machine Learning Identification of Electric Vehicles from charging session data
Federico Ferretti, Antonio De Paola
Energy and AI (2025), pp. 100502-100502
Open Access
Artificial intelligence and machine learning-based decision support system for forecasting electric vehicles' power requirement
Sunil Kumar Jauhar, Sunil Sethi, Sachin Kamble, et al.
Technological Forecasting and Social Change (2024) Vol. 204, pp. 123396-123396
Open Access | Times Cited: 4
Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Mostafa M. Shibl, Loay Ismail, Ahmed Massoud
Energy Reports (2023) Vol. 10, pp. 494-509
Open Access | Times Cited: 11
Dynamic pricing for fast charging stations with deep reinforcement learning
Li Cui, Qingyuan Wang, Hongquan Qu, et al.
Applied Energy (2023) Vol. 346, pp. 121334-121334
Closed Access | Times Cited: 10
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