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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:

Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods
Ahmad Almaghrebi, Fares Aljuheshi, Mostafa Rafaie, et al.
Energies (2020) Vol. 13, Iss. 16, pp. 4231-4231
Open Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

A review of electric bus vehicles research topics – Methods and trends
Jônatas Augusto Manzolli, João P. Trovão, Carlos Henggeler Antunes
Renewable and Sustainable Energy Reviews (2022) Vol. 159, pp. 112211-112211
Open Access | Times Cited: 117
Fast-charging station for electric vehicles, challenges and issues: A comprehensive review
Mohammad Shafiei, Ali Ghasemi-Marzbali
Journal of Energy Storage (2022) Vol. 49, pp. 104136-104136
Closed Access | Times Cited: 115
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
Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study
Surajit Bag, Pavitra Dhamija, Rajesh Kumar Singh, et al.
Journal of Business Research (2022) Vol. 154, pp. 113315-113315
Closed Access | Times Cited: 103
Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations
Irfan Ullah, Kai Liu, Toshiyuki Yamamoto, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 11, pp. 15211-15230
Closed Access | Times Cited: 68
Multinodes interval electric vehicle day-ahead charging load forecasting based on joint adversarial generation
Nantian Huang, Qingkui He, Jiajin Qi, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 143, pp. 108404-108404
Closed Access | Times Cited: 68
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4025-4025
Open Access | Times Cited: 51
An ensemble methodology for hierarchical probabilistic electric vehicle load forecasting at regular charging stations
Ľuboš Buzna, Pasquale De Falco, Gabriella Ferruzzi, et al.
Applied Energy (2020) Vol. 283, pp. 116337-116337
Closed Access | Times Cited: 97
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach
Yuanzheng Li, Shangyang He, Yang Li, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 1, pp. 344-357
Open Access | Times Cited: 65
Electric vehicle demand estimation and charging station allocation using urban informatics
Zhiyan Yi, Xiaoyue Cathy Liu, Ran Wei
Transportation Research Part D Transport and Environment (2022) Vol. 106, pp. 103264-103264
Open Access | Times Cited: 61
Examining spatial disparities in electric vehicle charging station placements using machine learning
Avipsa Roy, Mankin Law
Sustainable Cities and Society (2022) Vol. 83, pp. 103978-103978
Open Access | Times Cited: 57
A systematic review of machine learning techniques related to local energy communities
Alejandro Hernandez-Matheus, Markus Löschenbrand, Kjersti Berg, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 170, pp. 112651-112651
Open Access | Times Cited: 56
Sizing battery energy storage and PV system in an extreme fast charging station considering uncertainties and battery degradation
Waqas ur Rehman, Rui Bo, Hossein Mehdipourpicha, et al.
Applied Energy (2022) Vol. 313, pp. 118745-118745
Open Access | Times Cited: 53
The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods
Şule Öztürk Birim, İpek Kazançoğlu, Sachin Kumar Mangla, et al.
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 131-161
Open Access | Times Cited: 39
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
Applications of artificial intelligence in power system operation, control and planning: a review
Utkarsh Pandey, Anshumaan Pathak, Adesh Kumar, et al.
Clean Energy (2023) Vol. 7, Iss. 6, pp. 1199-1218
Open Access | Times Cited: 21
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
Energy Modeling for Electric Vehicles Based on Real Driving Cycles: An Artificial Intelligence Approach for Microscale Analyses
Maksymilian Mądziel
Energies (2024) Vol. 17, Iss. 5, pp. 1148-1148
Open Access | Times Cited: 8
Power consumption prediction for electric vehicle charging stations and forecasting income
K. C. Akshay, G. Hannah Grace, Kanimozhi Gunasekaran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Power System Resilience: The Role of Electric Vehicles and Social Disparities in Mitigating the US Power Outages
Abdolah Loni, Somayeh Asadi
Smart Grids and Sustainable Energy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 7
Data-driven cooling, heating and electrical load prediction for building integrated with electric vehicles considering occupant travel behavior
Xiaofeng Zhang, Xiaoying Kong, Renshi Yan, et al.
Energy (2022) Vol. 264, pp. 126274-126274
Closed Access | Times Cited: 34
A deep learning approach for prediction of electrical vehicle charging stations power demand in regulated electricity markets: The case of Morocco
Mouaad Boulakhbar, Markos Farag, Kawtar Benabdelaziz, et al.
Cleaner Energy Systems (2022) Vol. 3, pp. 100039-100039
Open Access | Times Cited: 30
Analysis of electric vehicle charging station usage and profitability in Germany based on empirical data
Christopher Hecht, Jan Figgener, Dirk Uwe Sauer
iScience (2022) Vol. 25, Iss. 12, pp. 105634-105634
Open Access | Times Cited: 30
The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions
Ramin Raeesi, Navid Sahebjamnia, S. Afshin Mansouri
European Journal of Operational Research (2022) Vol. 310, Iss. 3, pp. 943-973
Open Access | Times Cited: 29
Review of Challenges and Opportunities in the Integration of Electric Vehicles to the Grid
G. Vishnu, K. Deepa, Ramprabhakar Jayaprakash, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 9, pp. 259-259
Open Access | Times Cited: 18
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