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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:

Investigating the Power of LSTM-Based Models in Solar Energy Forecasting
Nur Liyana Mohd Jailani, Jeeva Kumaran Dhanasegaran, Gamal Alkawsi, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1382-1382
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Solar and Wind Energy Evaluation Methodology Using Artificial Intelligence Technologies
Владимир Сергеевич Симанков, Pavel Yu. Buchatskiy, Anatoliy Kazak, et al.
Energies (2024) Vol. 17, Iss. 2, pp. 416-416
Open Access | Times Cited: 12
Optimizing deep neural network architectures for renewable energy forecasting
Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 6
A new Takagi–Sugeno–Kang model for time series forecasting
Kaike Sa Teles Rocha Alves, Caian Dutra de Jesus, Eduardo Pestana de Aguiar
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108155-108155
Closed Access | Times Cited: 4
Enhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach
Muhammad Sabir Naveed, Hafiz M.N. Iqbal, Muhammad Fainan Hanif, et al.
International Journal of Green Energy (2025), pp. 1-24
Closed Access
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems
Younjeong Lee, Jongpil Jeong
Energies (2025) Vol. 18, Iss. 4, pp. 765-765
Open Access
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Te Li, Min Zheng, Yan Zhou
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
Accurate solar power prediction with advanced hybrid deep learning approach
Dongran Song, Muhammad Shams Ur Rehman, Xiaofei Deng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110367-110367
Closed Access
Short-Term Solar Irradiance Forecasting Model Based on Hyper-parameter Tuned LSTM via Chaotic Particle Swarm Optimization Algorithm
V.A.G. Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, et al.
Case Studies in Thermal Engineering (2025), pp. 105999-105999
Open Access
Short-Term Forecast of Photovoltaic Solar Energy Production Using LSTM
Filipe D. Campos, Tiago C. Sousa, Ramiro S. Barbosa
Energies (2024) Vol. 17, Iss. 11, pp. 2582-2582
Open Access | Times Cited: 3
Unveiling the backbone of the renewable energy forecasting process: Exploring direct and indirect methods and their applications
Aaron Van Poecke, Hossein Tabari, Peter Hellinckx
Energy Reports (2023) Vol. 11, pp. 544-557
Open Access | Times Cited: 7
Neural Networks Forecast Models Comparison for the Solar Energy Generation in Amazon Basin
andre luis ferreira marques, Márcio José Teixeira, Felipe V. de Almeida, et al.
IEEE Access (2024) Vol. 12, pp. 17915-17925
Open Access | Times Cited: 2
Solar power forecasting model as a renewable generation source on virtual power plants
Suwarno Suwarno, Doni Pinayungan
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 702-712
Open Access | Times Cited: 2
Optimizing biomass energy production in the southern region of Iran: A deterministic MCDM and machine learning approach in GIS
Marzieh Mokarram, Saeed Reza Akbarian Ronizi, Saeed Negahban
Energy Policy (2024) Vol. 195, pp. 114350-114350
Closed Access | Times Cited: 2
Enhancing PV feed-in power forecasting through federated learning with differential privacy using LSTM and GRU
Pascal Riedel, Kaouther Belkilani, Manfred Reichert, et al.
Energy and AI (2024), pp. 100452-100452
Open Access | Times Cited: 2
Solar photovoltaic panel production in Mexico: A novel machine learning approach
Francisco Javier López-Flores, César Ramírez‐Márquez, Eusiel Rubio‐Castro, et al.
Environmental Research (2023) Vol. 246, pp. 118047-118047
Closed Access | Times Cited: 6
Infodemiology of Influenza-like Illness: Utilizing Google Trends’ Big Data for Epidemic Surveillance
Dong‐Her Shih, Yi-Huei Wu, Ting-Wei Wu, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 7, pp. 1946-1946
Open Access | Times Cited: 1
Data-Driven Strategies for Complex System Forecasts: The Role of Textual Big Data and State-Space Transformers in Decision Support
Huairong Huo, Wanxin Guo, Ruining Yang, et al.
Systems (2024) Vol. 12, Iss. 5, pp. 171-171
Open Access | Times Cited: 1
Assessing the Flexibility of Power Systems through Neural Networks: A Study of the Hellenic Transmission System
Christos D. Kaskouras, Konstantinos F. Krommydas, Ioannis Baltas, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 5987-5987
Open Access | Times Cited: 1
Multi-Timeframe Forecasting Using Deep Learning Models for Solar Energy Efficiency in Smart Agriculture
Saravanakumar Venkatesan, Yongyun Cho
Energies (2024) Vol. 17, Iss. 17, pp. 4322-4322
Open Access | Times Cited: 1
Solar energy prediction in IoT system based optimized complex-valued spatio-temporal graph convolutional neural network
Atul B. Kathole, Devyani Jadhav, Kapil Vhatkar, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112400-112400
Closed Access | Times Cited: 1
An Intelligent SARIMAX-Based Machine Learning Framework for Long-Term Solar Irradiance Forecasting at Muscat, Oman
Mazhar Hussain Baloch, Mohamed Shaik Honnurvali, Adnan Kabbani, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 6118-6118
Open Access | Times Cited: 1
Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features
Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
A Mining Algorithm to Improve LSTM for Predicting Customer Churn in Railway Freight Traffic
Fangcan ZHAO, Baotian DONG, Hongqin PAN, et al.
Studies in Informatics and Control (2023) Vol. 32, Iss. 2, pp. 25-38
Open Access | Times Cited: 3
Forecasting electricity consumption by LSTM neural network
V. Ya. Ushakov, Ikromjon U. Rakhmonov, Numon N. Niyozov, et al.
Bulletin of the Tomsk Polytechnic University Geo Assets Engineering (2023) Vol. 334, Iss. 12, pp. 125-133
Open Access | Times Cited: 2
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