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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:

Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset
Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, Ajalmar R. Rocha Neto, et al.
Journal of Solar Energy Engineering (2022) Vol. 145, Iss. 4
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Nine novel ensemble models for solar radiation forecasting in Indian cities based on VMD and DWT integration with the machine and deep learning algorithms
Mahima Sivakumar, Jeba Priya S, S. Thomas George, et al.
Computers & Electrical Engineering (2023) Vol. 108, pp. 108691-108691
Closed Access | Times Cited: 21
A New Graph-Based Deep Learning Model to Predict Flooding with Validation on a Case Study on the Humber River
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Water (2023) Vol. 15, Iss. 10, pp. 1827-1827
Open Access | Times Cited: 21
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 4, pp. 684-734
Open Access | Times Cited: 5
Hybrid deep learning-based cyberthreat detection and IoMT data authentication model in smart healthcare
Manish Kumar, Sushil Kumar Singh, Sunggon Kim
Future Generation Computer Systems (2025), pp. 107711-107711
Closed 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
Half-hourly electricity price prediction model with explainable-decomposition hybrid deep learning approach
Sujan Ghimire, Ravinesh C. Deo, Konstantin Hopf, et al.
Energy and AI (2025), pp. 100492-100492
Open Access
Evaluation of Solar Radiation Prediction Models Using AI: A Performance Comparison in the High-Potential Region of Konya, Türkiye
Vahdettin Demir
Atmosphere (2025) Vol. 16, Iss. 4, pp. 398-398
Open Access
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: 3
Solar Radiation Prediction in Adrar, Algeria: A Case Study of Hybrid Extreme Machine-Based Techniques
Mohammed Benatallah, Nadjem Bailek, Kada Bouchouicha, et al.
International journal of engineering research in Africa (2024) Vol. 68, pp. 151-164
Closed Access | Times Cited: 3
A Deep Learning-Based Solar Power Generation Forecasting Method Applicable to Multiple Sites
Seon Young Jang, Byung Tae Oh, Eunsung Oh
Sustainability (2024) Vol. 16, Iss. 12, pp. 5240-5240
Open Access | Times Cited: 3
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2024)
Open Access | Times Cited: 3
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3580-3580
Open Access | Times Cited: 3
Graph-Based Deep Learning Model for Forecasting Chloride Concentration in Urban Streams to Protect Salt-Vulnerable Areas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Bahram Gharabaghi, et al.
(2023)
Open Access | Times Cited: 7
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2023)
Open Access | Times Cited: 7
Graph-Based Deep Learning Model for Forecasting Chloride Concentration in Urban Streams to Protect Salt-Vulnerable Areas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, et al.
Environments (2023) Vol. 10, Iss. 9, pp. 157-157
Open Access | Times Cited: 7
A new lightweight framework based on knowledge distillation for reducing the complexity of multi-modal solar irradiance prediction model
Yunfei Zhang, Jun Shen, Jian Li, et al.
Journal of Cleaner Production (2024) Vol. 475, pp. 143663-143663
Closed Access | Times Cited: 2
Machine Learning Dynamic Ensemble Methods for Solar Irradiance and Wind Speed Predictions
Francisco Diego Vidal Bezerra, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Atmosphere (2023) Vol. 14, Iss. 11, pp. 1635-1635
Open Access | Times Cited: 6
New Graph-Based and Transformer Deep Learning Models for River Dissolved Oxygen Forecasting
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Van Griensven Thé, et al.
Environments (2023) Vol. 10, Iss. 12, pp. 217-217
Open Access | Times Cited: 6
Enhancing microgrid energy management through solar power uncertainty mitigation using supervised machine learning
Rasha Elazab, Ahmed Abo Dahab, Maged Abo Adma, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
Modern deep neural networks for Direct Normal Irradiance forecasting: A classification approach
M.A. Hassan, Kashif Liaqat, Laura Schaefer, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 10, pp. 100853-100853
Open Access | Times Cited: 1
Ultra-Short-Term Forecasting of Wind Speed Using Lightweight Features and Machine Learning Models
Rami Al-Hajj, Mohamad M. Fouad, Ali Assi, et al.
(2023), pp. 93-97
Closed Access | Times Cited: 3
Next-Month Prediction of Hourly Solar Irradiance based on Long Short-Term Memory Network
İnayet Özge Aksu
Çukurova Üniversitesi Mühendislik Fakültesi Dergisi (2023) Vol. 38, Iss. 1, pp. 225-232
Open Access | Times Cited: 2
Prediction of the total solar irradiance based on the CEEMDAN-BiGRU-Attention model
Xuchu Jiang, Nisang Chen, Jinghong Huang, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 6638-6654
Closed Access | Times Cited: 2
New Graph-Based and Transformers Deep Learning Models for River Dissolved Oxygen Forecasting
Paulo Alexandre Costa Rocha, Victor Oliveira Santos, Jesse Van Griensven Thé, et al.
(2023)
Open Access | Times Cited: 2
Using Meta-LSTM to Predict Personality Traits from Blog User Behaviors
Xiao ShiXiao, Mustafa Muwafak Alobaedy, S. B. Goyal, et al.
Lecture notes in electrical engineering (2024), pp. 497-510
Closed Access
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