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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:

Deep learning approach for one-hour ahead forecasting of energy production in a solar-PV plant
Arif Özbek, Alper Yıldırım, Mehmet Bilgili
Energy Sources Part A Recovery Utilization and Environmental Effects (2021) Vol. 44, Iss. 4, pp. 10465-10480
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques
Laith Abualigah, Raed Abu Zitar, Khaled H. Almotairi, et al.
Energies (2022) Vol. 15, Iss. 2, pp. 578-578
Open Access | Times Cited: 120
Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework
Sameer Al‐Dahidi, Manoharan Madhiarasan, Loiy Al‐Ghussain, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4145-4145
Open Access | Times Cited: 19
Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, et al.
Energy Strategy Reviews (2024) Vol. 53, pp. 101409-101409
Open Access | Times Cited: 18
Enhancing PV hosting capacity and mitigating congestion in distribution networks with deep learning based PV forecasting and battery management
Noman Shabbir, Lauri Kütt, Victor Astapov, et al.
Applied Energy (2024) Vol. 372, pp. 123770-123770
Closed Access | Times Cited: 13
Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison
Neha Sehrawat, Sahil Vashisht, Amritpal Singh
International Journal of Intelligent Networks (2023) Vol. 4, pp. 90-102
Open Access | Times Cited: 20
Forecasting electricity production from various energy sources in Türkiye: A predictive analysis of time series, deep learning, and hybrid models
Emrah Gülay, Mustafa Sen, Omer Burak Akgun
Energy (2023) Vol. 286, pp. 129566-129566
Closed Access | Times Cited: 18
Hybrid machine learning model combining of CNN-LSTM-RF for time series forecasting of Solar Power Generation
Mobarak Abumohsen, Amani Yousef Owda, Majdi Owda, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100636-100636
Open Access | Times Cited: 7
Leveraging Deep Learning to Strengthen the Cyber-Resilience of Renewable Energy Supply Chains: A Survey
Malka N. Halgamuge
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 3, pp. 2146-2175
Closed Access | Times Cited: 6
Techno-economic analysis and energy forecasting study of domestic and commercial photovoltaic system installations in Estonia
Noman Shabbir, Lauri Kütt, Hadi Ashraf Raja, et al.
Energy (2022) Vol. 253, pp. 124156-124156
Closed Access | Times Cited: 21
Time-series prediction of hourly atmospheric pressure using ANFIS and LSTM approaches
Mehmet Bilgili, Akın İlhan, Şaban Ünal
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15633-15648
Closed Access | Times Cited: 19
Reduction of the Risk of Inaccurate Prediction of Electricity Generation from PV Farms Using Machine Learning
Maria Krechowicz, Adam Krechowicz, Lech Lichołai, et al.
Energies (2022) Vol. 15, Iss. 11, pp. 4006-4006
Open Access | Times Cited: 18
An in-depth thermo-electrical evaluation of a rooftop PV technology for a residential building using advanced infrared thermography
Ali Sohani, Hoseyn Sayyaadi, Mohammad Hossein Moradi, et al.
Engineering Analysis with Boundary Elements (2023) Vol. 152, pp. 243-258
Closed Access | Times Cited: 11
Scenario Analysis and Practical Approach of Deep Learning and Machine Learning Techniques in the Renewable Energy Sector
Supriya Supriya, Ashutosh Shukla, Priyanka Sharma, et al.
(2025), pp. 279-309
Closed Access
Sustainable energy management in the AI era: a comprehensive analysis of ML and DL approaches
Haseeb Javed, Fatma Eid, Shaker El-Sappagh, et al.
Computing (2025) Vol. 107, Iss. 6
Open Access
A functional autoregressive approach for modeling and forecasting short-term air temperature
Ismail Shah, Pir Mubassir, Sajid Ali, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
Understanding green building practices adoption in the construction industry: an extension of institutional theory
Francis Kamewor Tetteh, Kwame Owusu Kwateng, Hanson Obiri-Yeboah
Property Management (2025)
Closed Access
Accurate photovoltaic power prediction models based on deep convolutional neural networks and gated recurrent units
N. Mohammed Sabri, Mohammed El Hassouni
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 3, pp. 6303-6320
Closed Access | Times Cited: 13
Short-term electricity consumption forecasting with NARX, LSTM, and SVR for a single building: small data set approach
Irati Zapirain, Garazi Etxegarai, Juan Hernández, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 3, pp. 6898-6908
Closed Access | Times Cited: 12
Prediction of daily average seawater temperature using data-driven and deep learning algorithms
Arif Özbek
Neural Computing and Applications (2023) Vol. 36, Iss. 1, pp. 365-383
Closed Access | Times Cited: 6
Deep learning approach for one-hour ahead forecasting of solar radiation in different climate regions
Alper Yıldırım, Mehmet Bilgili, Osman Kara
International Journal of Green Energy (2024) Vol. 21, Iss. 13, pp. 2984-3000
Closed Access | Times Cited: 2
Deep learning-based ensemble model for classification of photovoltaic module visual faults
Naveen Venkatesh Sridharan, V. Sugumaran
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 2, pp. 5287-5302
Closed Access | Times Cited: 10
A street lighting based on solar energy: optimization of a neural network for the productivity evaluation in different climate conditions
Elisa Belloni, Andrea Massaccesi, Cristina Moscatiello, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Residential DC Load Forecasting Using Long Short-term Memory Network (LSTM)
Noman Shabbir, Roya Ahmadiahangar, Argo Rosin, et al.
(2023) Vol. 18, pp. 131-136
Closed Access | Times Cited: 4
Unfixed Seasonal Partition Based on Symbolic Aggregate Approximation for Forecasting Solar Power Generation Using Deep Learning
Min‐Jin Kwak, Tserenpurev Chuluunsaikhan, Azizbek Marakhimov, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3871-3871
Open Access | Times Cited: 1
Modeling of solar photovoltaic power using a two-stage forecasting system with operation and weather parameters
D. V. Siva Krishna Rao K, M. Premalatha
Energy Sources Part A Recovery Utilization and Environmental Effects (2022), pp. 1-19
Closed Access | Times Cited: 6
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