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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:

Convolutional neural networks for intra-hour solar forecasting based on sky image sequences
Cong Feng, Jie Zhang, Wenqi Zhang, et al.
Applied Energy (2022) Vol. 310, pp. 118438-118438
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Applied Energy (2023) Vol. 342, pp. 121160-121160
Closed Access | Times Cited: 65
A CNN-BiGRU-AM neural network for AI applications in shale oil production prediction
Guangzhao Zhou, Zanquan Guo, Simin Sun, et al.
Applied Energy (2023) Vol. 344, pp. 121249-121249
Closed Access | Times Cited: 48
Advances in solar forecasting: Computer vision with deep learning
Quentin Paletta, Guillermo Terrén-Serrano, Yuhao Nie, et al.
Advances in Applied Energy (2023) Vol. 11, pp. 100150-100150
Open Access | Times Cited: 42
Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
Haixiang Zang, Dianhao Chen, Jingxuan Liu, et al.
Energy (2024) Vol. 293, pp. 130538-130538
Closed Access | Times Cited: 21
An interpretable framework for modeling global solar radiation using tree-based ensemble machine learning and Shapley additive explanations methods
Zhe Song, Sunliang Cao, Hongxing Yang
Applied Energy (2024) Vol. 364, pp. 123238-123238
Closed Access | Times Cited: 21
A hybrid photovoltaic/wind power prediction model based on Time2Vec, WDCNN and BiLSTM
Donghan Geng, Bo Wang, Qi Gao
Energy Conversion and Management (2023) Vol. 291, pp. 117342-117342
Closed Access | Times Cited: 39
Global horizontal and direct normal solar irradiance modeling by the machine learning methods XGBoost and deep neural networks with CNN-LSTM layers: a case study using the GOES-16 satellite imagery
Paulo Alexandre Costa Rocha, Victor Oliveira Santos
International journal of energy and environmental engineering (2022) Vol. 13, Iss. 4, pp. 1271-1286
Closed Access | Times Cited: 38
Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Quentin Paletta, Guillaume Arbod, Joan Lasenby
Applied Energy (2023) Vol. 336, pp. 120818-120818
Open Access | Times Cited: 32
A 3D ConvLSTM-CNN network based on multi-channel color extraction for ultra-short-term solar irradiance forecasting
Xiaoqiao Huang, Jun Liu, Shaozhen Xu, et al.
Energy (2023) Vol. 272, pp. 127140-127140
Closed Access | Times Cited: 29
SKIPP’D: A SKy Images and Photovoltaic Power Generation Dataset for short-term solar forecasting
Yuhao Nie, Xiatong Li, Andea Scott, et al.
Solar Energy (2023) Vol. 255, pp. 171-179
Open Access | Times Cited: 29
Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey
Yuhao Nie, Xiatong Li, Quentin Paletta, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 113977-113977
Closed Access | Times Cited: 23
An Overview of Emerging and Sustainable Technologies for Increased Energy Efficiency and Carbon Emission Mitigation in Buildings
Zhenjun Ma, Muhammad Bilal Awan, Menglong Lu, et al.
Buildings (2023) Vol. 13, Iss. 10, pp. 2658-2658
Open Access | Times Cited: 22
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: 14
Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning
Yuhao Nie, Quentin Paletta, Andea Scott, et al.
Applied Energy (2024) Vol. 369, pp. 123467-123467
Open Access | Times Cited: 12
Application of an Optimized PSO-BP Neural Network to the Assessment and Prediction of Underground Coal Mine Safety Risk Factors
Dorcas Muadi Mulumba, Jiankang Liu, Jian Jun Hao, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5317-5317
Open Access | Times Cited: 21
Forecasting solar irradiation using convolutional long short-term memory and feature selection of data from neighboring locations
Ying‐Yi Hong, John Joel F. Martinez
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101271-101271
Closed Access | Times Cited: 7
Advancing solar energy forecasting with modified ANN and light GBM learning algorithms
Muhammad Farhan Hanif, Muhammad Sabir Naveed, Mohamed Metwaly, et al.
AIMS energy (2024) Vol. 12, Iss. 2, pp. 350-386
Open Access | Times Cited: 7
SkyGPT: Probabilistic ultra-short-term solar forecasting using synthetic sky images from physics-constrained VideoGPT
Yuhao Nie, Eric Zelikman, Andea Scott, et al.
Advances in Applied Energy (2024) Vol. 14, pp. 100172-100172
Open Access | Times Cited: 7
A radiant shift: Attention-embedded CNNs for accurate solar irradiance forecasting and prediction from sky images
Anto Leoba Jonathan, Dongsheng Cai, Chiagoziem C. Ukwuoma, et al.
Renewable Energy (2024) Vol. 234, pp. 121133-121133
Closed Access | Times Cited: 6
ECLIPSE: Envisioning CLoud Induced Perturbations in Solar Energy
Quentin Paletta, Anthony Hu, Guillaume Arbod, et al.
Applied Energy (2022) Vol. 326, pp. 119924-119924
Open Access | Times Cited: 27
Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting
Jingxuan Liu, Haixiang Zang, Tao Ding, et al.
Renewable Energy (2023) Vol. 209, pp. 619-631
Closed Access | Times Cited: 15
Artificial intelligence and digital twins in power systems: Trends, synergies and opportunities
Zhiwei Shen, Felipe Arraño-Vargas, Georgios Konstantinou
Digital Twin (2023) Vol. 2, pp. 11-11
Open Access | Times Cited: 13
An improved SSA-BiLSTM-based short-term irradiance prediction model via sky images feature extraction
Qiyue Xie, Lin Ma, Yao Liu, et al.
Renewable Energy (2023) Vol. 219, pp. 119507-119507
Closed Access | Times Cited: 13
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: 5
Combined ultra-short-term prediction method of PV power considering ground-based cloud images and chaotic characteristics
Yufei Wang, Xianzhe Wang, Deyang Hao, et al.
Solar Energy (2024) Vol. 274, pp. 112597-112597
Closed Access | Times Cited: 5
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