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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:

Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
Hamad Alharkan, Shabana Habib, Muhammad Islam
Sensors (2023) Vol. 23, Iss. 2, pp. 945-945
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models
Rafiq Asghar, Francesco Riganti Fulginei, Michele Quercio, et al.
IEEE Access (2024) Vol. 12, pp. 90461-90485
Open Access | Times Cited: 9
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
AI-Assisted Hybrid Approach for Energy Management in IoT-Based Smart Microgrid
Noman Khan, Samee U. Khan, Fath U Min Ullah, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 18861-18875
Closed Access | Times Cited: 14
Photovoltaic power forecasting with a long short-term memory autoencoder networks
Mohammed Sabri, Mohammed El Hassouni
Soft Computing (2023) Vol. 27, Iss. 15, pp. 10533-10553
Open Access | Times Cited: 13
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
Enhanced Air Quality Prediction through Spatio-temporal Feature Sxtraction and Fusion: A Self-tuning Hybrid Approach with GCN and GRU
Bao Liu, Zhi Qi, Lei Gao
Water Air & Soil Pollution (2024) Vol. 235, Iss. 8
Open Access | Times Cited: 3
Application of novel hybrid deep learning architectures combining convolutional neural networks (CNN) and recurrent neural networks (RNN): construction duration estimates prediction considering preconstruction uncertainties
Belachew Asteray Demiss, Walied A. Elsaigh
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 032102-032102
Open Access | Times Cited: 3
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: 2
Forecasting a Short-Term Photovoltaic Power Model Based on Improved Snake Optimization, Convolutional Neural Network, and Bidirectional Long Short-Term Memory Network
Yonggang Wang, Yilin Yao, Zou Qiu-ying, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3897-3897
Open Access | Times Cited: 2
Intelligent IoT Platform for Multiple PV Plant Monitoring
Ida Bagus Krishna Yoga Utama, Radityo Fajar Pamungkas, Muhammad Miftah Faridh, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6674-6674
Open Access | Times Cited: 7
Enhancing Short-Term Electrical Load Forecasting for Sustainable Energy Management in Low-Carbon Buildings
Meshari D. Alanazi, Ahmad Saeed, Muhammad Islam, et al.
Sustainability (2023) Vol. 15, Iss. 24, pp. 16885-16885
Open Access | Times Cited: 7
Geographic information system‐based prediction of solar power plant production using deep neural networks
Marzieh Mokarram, Jamshid Aghaei, Mohammad Jafar Mokarram, et al.
IET Renewable Power Generation (2023) Vol. 17, Iss. 10, pp. 2663-2678
Open Access | Times Cited: 6
Carbon-Neutral ESG Method Based on PV Energy Generation Prediction Model in Buildings for EV Charging Platform
Guwon Yoon, Seung‐Hwan Kim, Haneul Shin, et al.
Buildings (2023) Vol. 13, Iss. 8, pp. 2098-2098
Open Access | Times Cited: 5
Addressing Data Scarcity in Solar Energy Prediction with Machine Learning and Augmentation Techniques
Aleksandr Gevorgian, Giovanni Pernigotto, Andrea Gasparella
Energies (2024) Vol. 17, Iss. 14, pp. 3365-3365
Open Access | Times Cited: 1
Short-time photovoltaic output prediction method based on depthwise separable convolution Visual Geometry group- deep gate recurrent neural network
Lei Zhang, Shuang Zhao, Guanchao Zhao, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 21, pp. 3437-3451
Open Access | Times Cited: 1
Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications
Seyed Mohammad Sharifhosseini, Taher Niknam, Mohammad Hossein Taabodi, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5385-5385
Open Access | Times Cited: 1
A Comprehensive Analysis of Recent Advances in Deep Learning based Solar Irradiance Forecasting
Vijay Muniyandi, Saravanan Manimaran, P. Ramu, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023) Vol. 7, pp. 1250-1257
Closed Access | Times Cited: 3
A Multistage Hybrid Deep Learning Model for Enhanced Solar Tracking
Mwenge Mulenga, Musa Phiri, Luckson Simukonda, et al.
IEEE Access (2023) Vol. 11, pp. 129449-129466
Open Access | Times Cited: 2
Integration of RES and AI for Grid Distribution Network Energy Management
Kannan Kaliappan, S. Dinakar raj, R. Bhavani, et al.
Electric Power Components and Systems (2024), pp. 1-22
Closed Access
Photovoltaic Power Generation Related Physical Quantity Mining Method Based On Historical Time Series Data Analysis
Yin Wang, Siyang Liao, Nuoqing Shen
Journal of Physics Conference Series (2024) Vol. 2774, Iss. 1, pp. 012032-012032
Open Access
Utilization of computer vision and machine learning for solar power prediction
Sunil Kumar Choudhary, Arindam Mondal
Elsevier eBooks (2024), pp. 67-84
Closed Access
Traffic Flow Prediction: A Method Using Bagging-Based Ensemble Learning Model
Xinyue Cai, Qinyu Jin, Wenyu Zhang
Science Journal of Applied Mathematics and Statistics (2024) Vol. 12, Iss. 5, pp. 72-79
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
Semi-Autogenous Mill Power Consumption Prediction Based on CACN-LSTM
Dingchao Zhang, Xin Xiong, Chongyang Shao, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 2-2
Open Access
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