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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:

Energy generation forecasting: elevating performance with machine and deep learning
Aristeidis Mystakidis, Evangelia Ntozi, Konstantinos Afentoulis, et al.
Computing (2023) Vol. 105, Iss. 8, pp. 1623-1645
Open Access | Times Cited: 22

Showing 22 citing articles:

Forecasting Solar Power Generation Utilizing Machine Learning Models in Lubbock
Afshin Balal, Yaser Pakzad Jafarabadi, Ayda Demir, et al.
Emerging Science Journal (2023) Vol. 7, Iss. 4, pp. 1052-1062
Open Access | Times Cited: 49
Energy Forecasting: A Comprehensive Review of Techniques and Technologies
Aristeidis Mystakidis, Paraskevas Koukaras, Nikolaos Tsalikidis, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1662-1662
Open Access | Times Cited: 27
Integrating Blockchain in Smart Grids for Enhanced Demand Response: Challenges, Strategies, and Future Directions
Paraskevas Koukaras, Konstantinos D. Afentoulis, Paschalis A. Gkaidatzis, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1007-1007
Open Access | Times Cited: 10
Optimizing Building Short-Term Load Forecasting: A Comparative Analysis of Machine Learning Models
Paraskevas Koukaras, Akeem Mustapha, Aristeidis Mystakidis, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1450-1450
Open Access | Times Cited: 7
Forecasting of electricity consumption in Pakistan based on integrating machine learning algorithms and Monte Carlo simulation
Mohammad Nazir, Jinchao Li
Electrical Engineering (2025)
Closed Access
Advances in Traffic Congestion Prediction: An Overview of Emerging Techniques and Methods
Aristeidis Mystakidis, Paraskevas Koukaras, Christos Tjortjis
Smart Cities (2025) Vol. 8, Iss. 1, pp. 25-25
Open Access
A multi-energy meta-model strategy for multi-step ahead energy load forecasting
Aristeidis Mystakidis, Evangelia Ntozi, Paraskevas Koukaras, et al.
Electrical Engineering (2025)
Open Access
Energy load forecasting: one-step ahead hybrid model utilizing ensembling
Nikos Tsalikidis, Aristeidis Mystakidis, Christos Tjortjis, et al.
Computing (2023) Vol. 106, Iss. 1, pp. 241-273
Open Access | Times Cited: 13
Urban Traffic Congestion Prediction: A Multi-Step Approach Utilizing Sensor Data and Weather Information
Nikolaos Tsalikidis, Aristeidis Mystakidis, Paraskevas Koukaras, et al.
Smart Cities (2024) Vol. 7, Iss. 1, pp. 233-253
Open Access | Times Cited: 2
Traffic congestion prediction and missing data: a classification approach using weather information
Aristeidis Mystakidis, Christos Tjortjis
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 2
Traffic Congestion Prediction: A Machine Learning Approach
Olga Geromichalou, Aristeidis Mystakidis, Christos Tjortjis
Lecture notes in networks and systems (2024), pp. 388-411
Closed Access | Times Cited: 1
Advances in the Design of Renewable Energy Power Supply for Rural Health Clinics, Case Studies, and Future Directions
Abubakar Abdulkarim, Nasir Faruk, Emmanuel C. Alozie, et al.
Clean Technologies (2024) Vol. 6, Iss. 3, pp. 921-953
Open Access | Times Cited: 1
From Climate to Consumption: Leveraging Environmental and Usage Data for Energy Forecasting in Low-Energy Houses
Arpita Aggarwal, charu puri, ADITYA ADITYA, et al.
(2024)
Closed Access
Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods
Yonghong Liu, Muhammad S. Saleem, Javed Rashid, et al.
Energy Science & Engineering (2024)
Open Access
Bagging ensemble of artificial neural networks with weighted averaging and grey wolf optimization for solar photovoltaic power generation prediction
Chockalingam Alagappan, Karthikeyan Ramasamy, Durgadevi Velusamy
International Journal of Green Energy (2024), pp. 1-15
Closed Access
Power PV Forecasting using Machine Learning Algorithms Based on Weather Data in Semi-Arid Climate
Mohamed Boujoudar, Ibtissam Bouarfa, Abdelmounaim Dadda, et al.
BIO Web of Conferences (2024) Vol. 109, pp. 01024-01024
Open Access
Recent Advances and Future Challenges of Solar Power Generation Forecasting
Nurul Jannah, Teddy Surya Gunawan, Siti Hajar Yusoff, et al.
IEEE Access (2024) Vol. 12, pp. 168904-168924
Open Access
Development of a ConvLSTM-Based Deep Learning Model for Predicting Typhoon Intensity in Climate Change Scenario
Min-Yeong Kim, Wan Hee Cho
Journal of the Korean Society of Marine Environment and Safety (2024) Vol. 30, Iss. 6, pp. 541-551
Closed Access
Power Load Forecasting: A Time-Series Multi-Step Ahead and Multi-Model Analysis
Aristeidis Mystakidis, Nikolaos Tsalikidis, Paraskevas Koukaras, et al.
2022 57th International Universities Power Engineering Conference (UPEC) (2023), pp. 1-6
Closed Access | Times Cited: 1
Optimizing Power Plant Operations Through Machine Learning Based Electricity Demand Forecasting
C. Silva, Vihan Jayawardana, Pasindu Gunasekara, et al.
(2023), pp. 490-495
Closed Access | Times Cited: 1
Impact of Weather Data Temporal Resolution on Machine Learning Based Solar Energy Generation Predictions with a Focus on Sunrise and Sunset Times
Firat Y. Testik, Daniele Di Marino, Laura Ortega, et al.
(2023)
Closed Access
Data Mining for Smart Cities: Traffic Congestion Prediction
Aristeidis Mystakidis, Olga Geromichalou, Christos Tjortjis
(2023), pp. 1-8
Closed Access
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