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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:

A comprehensive review on deep learning approaches in wind forecasting applications
Zhou Wu, Gan Luo, Zhile Yang, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 2, pp. 129-143
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

State-of-the-art review of micro to small-scale wind energy harvesting technologies for building integration
Katrina Calautit, Cameron Johnstone
Energy Conversion and Management X (2023) Vol. 20, pp. 100457-100457
Open Access | Times Cited: 45
Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, et al.
Energy Strategy Reviews (2024) Vol. 53, pp. 101409-101409
Open Access | Times Cited: 17
A hybrid model based on discrete wavelet transform (DWT) and bidirectional recurrent neural networks for wind speed prediction
Arezoo Barjasteh, Seyyed Hamid Ghafouri, Malihe Hashemi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107340-107340
Closed Access | Times Cited: 35
Automatic Vulgar Word Extraction Method with Application to Vulgar Remark Detection in Chittagonian Dialect of Bangla
Tanjim Mahmud, Michał Ptaszyński, Fumito Masui
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11875-11875
Open Access | Times Cited: 28
GGNet: A novel graph structure for power forecasting in renewable power plants considering temporal lead-lag correlations
Nanyang Zhu, Ying Wang, Kun Yuan, et al.
Applied Energy (2024) Vol. 364, pp. 123194-123194
Closed Access | Times Cited: 13
Research on tool wear state identification method driven by multi-source information fusion and multi-dimension attention mechanism
Peining Wei, Rongyi Li, Xianli Liu, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 88, pp. 102741-102741
Closed Access | Times Cited: 10
The Role of Utilizing Artificial Intelligence and Renewable Energy in Reaching Sustainable Development Goals
Fatma M. Talaat, A.E. Kabeel, Warda M. Shaban
Renewable Energy (2024) Vol. 235, pp. 121311-121311
Closed Access | Times Cited: 10
Data-driven wind-induced response prediction for slender civil infrastructure: Progress, challenges and opportunities
Yiming Zhang, Haoqing Li, Hao Wang
Structures (2025) Vol. 74, pp. 108650-108650
Closed Access | Times Cited: 1
Wind Energy Harvesting and Conversion Systems: A Technical Review
Sinhara M. H. D. Perera, Ghanim Putrus, Michael Conlon, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9299-9299
Open Access | Times Cited: 30
Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117707-117707
Open Access | Times Cited: 20
DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images
Manjit Kaur, Ahmad Ali AlZubi, Arpit Jain, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2752-2752
Open Access | Times Cited: 19
Experimental Investigation and Proposal of Artificial Neural Network Models of Lead and Cadmium Heavy Metal Ion Removal from Water Using Porous Nanomaterials
Atef El Jery, Moutaz Aldrdery, Naoufel Ghoudi, et al.
Sustainability (2023) Vol. 15, Iss. 19, pp. 14183-14183
Open Access | Times Cited: 18
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis
Jinfeng Wang, Lu Cheng, Lijie Feng, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102177-102177
Closed Access | Times Cited: 16
A contrastive learning-based framework for wind power forecast
Nanyang Zhu, Zemei Dai, Ying Wang, et al.
Expert Systems with Applications (2023) Vol. 230, pp. 120619-120619
Closed Access | Times Cited: 13
The Potential of Machine Learning for Wind Speed and Direction Short-Term Forecasting: A Systematic Review
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, et al.
Computers (2023) Vol. 12, Iss. 10, pp. 206-206
Open Access | Times Cited: 13
A novel Bagged-CNN architecture for short-term wind power forecasting
Sachin Mulewa, Azan M Parmar, Ashoke De
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2712-2723
Closed Access | Times Cited: 5
Implementing and tuning machine learning-based models for description of solubility variations of nanomedicine in supercritical solvent for development of green processing
Ahmad J. Obaidullah
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103200-103200
Open Access | Times Cited: 12
A review of deep learning-based approaches for defect detection in smart manufacturing
Zhitao Jia, Meng Wang, Shiming Zhao
Journal of Optics (2023) Vol. 53, Iss. 2, pp. 1345-1351
Closed Access | Times Cited: 12
Artificial Intelligent Power Forecasting for Wind Farm Based on Multi-Source Data Fusion
Qingtian Wang, Yunjing Wang, Kegong Zhang, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1429-1429
Open Access | Times Cited: 11
An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids
Azhar Mahmood, Abid Khan, Adeel Anjum, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103414-103414
Closed Access | Times Cited: 11
A networked station system for high-resolution wind nowcasting in air traffic operations: A data-augmented deep learning approach
Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316548-e0316548
Open Access
Developing a dual-modal surrogate model training framework for building performance prediction in early design stage
Zhen Han, Gang Liu, Lihua Zhang, et al.
Energy and Buildings (2025), pp. 115307-115307
Closed Access
Short-term extreme wind speed forecasting using dual-output LSTM-based regression and classification model
Paraskevi Modé, Cristoforo Demartino, Christos Τ. Georgakis, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2025) Vol. 259, pp. 106035-106035
Open Access
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