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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:

Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
Maneesha Perera, Julian de Hoog, Kasun Bandara, et al.
Applied Energy (2024) Vol. 361, pp. 122971-122971
Open Access | Times Cited: 13

Showing 13 citing articles:

Combined Ultra-Short-Term Photovoltaic Power Prediction Based on CEEMDAN Decomposition and RIME Optimized AM-TCN-BiLSTM
Daixuan Zhou, Yujin Liu, Xu Wang, et al.
Energy (2025), pp. 134847-134847
Closed Access | Times Cited: 1
Optimization of electricity generation and assessment of provincial grid emission factors from 2020 to 2060 in China
Min Jia, Zhe Zhang, Li Zhang, et al.
Applied Energy (2024) Vol. 373, pp. 123838-123838
Closed Access | Times Cited: 8
A Novel Improved Variational Mode Decomposition-Temporal Convolutional Network-Gated Recurrent Unit with Multi-Head Attention Mechanism for Enhanced Photovoltaic Power Forecasting
Hua Fu, Junnan Zhang, Sen Xie
Electronics (2024) Vol. 13, Iss. 10, pp. 1837-1837
Open Access | Times Cited: 7
Deep probabilistic solar power forecasting with Transformer and Gaussian process approximation
Binyu Xiong, Yuntian Chen, Dali Chen, et al.
Applied Energy (2025) Vol. 382, pp. 125294-125294
Closed Access
A multi-modal deep clustering method for day-ahead solar irradiance forecasting using ground-based cloud imagery and time series data
Weijing Dou, Kai Wang, Shuo Shan, et al.
Energy (2025), pp. 135285-135285
Closed Access
Predictive control technique for solar photovoltaic power forecasting
Nsilulu T. Mbungu, Safia Babikir Bashir, Neethu Elizabeth Michael, et al.
Energy Conversion and Management X (2024), pp. 100768-100768
Open Access | Times Cited: 3
A Tiered NARX Model for Forecasting Day-Ahead Energy Production in Distributed Solar PV Systems
Sameer Al‐Dahidi, Mohammad Alrbai, Bilal Rinchi, et al.
Cleaner Engineering and Technology (2024) Vol. 23, pp. 100831-100831
Open Access | Times Cited: 3
Ultra-short-term Single-step Photovoltaic Power Prediction based on VMD-Attention-BiLSTM Combined Model
Haisheng Yu, Shenhui Song
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
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
A Long-term Photovoltaic Power Probabilistic Forecasting Method Based on Seasonal Attention
Bin Wang, Chen Luo, Xuepeng Mou, et al.
(2024), pp. 173-178
Closed Access
ML-Enabled Solar PV Electricity Generation Projection for a Large Academic Campus to Reduce Onsite CO2 Emissions
Sahar Zargarzadeh, Aditya Ramnarayan, Felipe R. de Castro, et al.
Energies (2024) Vol. 17, Iss. 23, pp. 6188-6188
Open Access
A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load
Peter I. Udenze, Jiaqi Gong, S. Soltani, et al.
Applied Energy (2024) Vol. 382, pp. 125212-125212
Closed Access
AI-Driven Tourism Analytics: Understanding Traveler Behavior and Preferences through IoT Sensors
Rajeev Semwal, Nandita Tripathi, Ajay Rana, et al.
(2024), pp. 808-814
Closed Access
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