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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 26-50 of 96 citing articles:

CMLLM: A novel cross-modal large language model for wind power forecasting
Guopeng Zhu, Weiqing Jia, Zhitai Xing, et al.
Energy Conversion and Management (2025) Vol. 330, pp. 119673-119673
Closed Access
Numerical modelling and experimental assessment of cap magnet motion in a small windbelt generator
Le Thi Tuyet Nhung, Dinh Quy Vu, Cong-Τruong Dinh, et al.
International Journal of Renewable Energy Development (2025) Vol. 14, Iss. 3, pp. 463-472
Open Access
A Review of Wind Power Prediction Methods Based on Multi-Time Scales
Fan Li, Hongzhen Wang, Dan Wang, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1713-1713
Open Access
Sustainable AI-driven wind energy forecasting: advancing zero-carbon cities and environmental computation
Haytham H. Elmousalami, Aljawharah A. Alnaser, Felix Kin Peng Hui
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Wind speed forecasting using a combined deep learning model with slime mould optimization
K. Natarajan, Jai Govind Singh
International Journal of Green Energy (2025), pp. 1-22
Closed Access
Enhancing randomness of the ciphertext generated by DNA-based cryptosystem and finite state machine
Pramod Pavithran, Sheena Mathew, Suyel Namasudra, et al.
Cluster Computing (2022) Vol. 26, Iss. 2, pp. 1035-1051
Closed Access | Times Cited: 18
Assessment of solid-dosage drug nanonization by theoretical advanced models: Modeling of solubility variations using hybrid machine learning models
Amr S. Abouzied, Saad M. Alshahrani, Umme Hani, et al.
Case Studies in Thermal Engineering (2023) Vol. 47, pp. 103101-103101
Open Access | Times Cited: 10
Advanced modeling and intelligence-based evaluation of pharmaceutical nanoparticle preparation using green supercritical processing: Theoretical assessment of solubility
Amr S. Abouzied, Saad M. Alshahrani, Ahmad J. Obaidullah, et al.
Case Studies in Thermal Engineering (2023) Vol. 48, pp. 103150-103150
Open Access | Times Cited: 10
Advanced AI modeling and optimization for determination of pharmaceutical solubility in supercritical processing for production of nanosized drug particles
Ahmad J. Obaidullah
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103199-103199
Open Access | Times Cited: 10
A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran
Mohammad Ebrahimi Sirizi, Esmaeil Taghavi Zirvani, Abdulsalam Esmailzadeh, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 15054-15054
Open Access | Times Cited: 9
A Survey of Artificial Intelligence Applications in Wind Energy Forecasting
Poonam Dhaka, Mini Sreejeth, M. M. Tripathi
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
Targeted adversarial attacks on wind power forecasts
René Heinrich, Christoph Scholz, S. Vogt, et al.
Machine Learning (2023) Vol. 113, Iss. 2, pp. 863-889
Open Access | Times Cited: 9
Combination of CFD and machine learning for improving simulation accuracy in water purification process via porous membranes
Abdulaziz Ibrahim Almohana, Zainab Ali Bu sinnah, Tariq J‏. Al‏-‏Musawi
Journal of Molecular Liquids (2023) Vol. 386, pp. 122456-122456
Closed Access | Times Cited: 7
Introduction to artificial intelligence and current trends
Law Kumar Singh, Munish Khanna
Elsevier eBooks (2023), pp. 31-66
Closed Access | Times Cited: 7
An interval-valued carbon price forecasting method based on web search data and social media sentiment
Jinpei Liu, Xue Li, Piao Wang, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 42, pp. 95840-95859
Closed Access | Times Cited: 7
Design and optimization of MED-TVC desalination plant using mathematical modeling coupled with response surface methodology
Mahdi Abdi-Khanghah, Bahamin Bazooyar, Maryam Gonbadi, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 153, pp. 105187-105187
Closed Access | Times Cited: 7
Long-term wind power and global warming prediction using MARS, ANN, CART, LR, and RF
Yavuz Yılmaz, Gamze Nalçacı, Marta Kańczurzewska, et al.
Journal of Industrial and Management Optimization (2023) Vol. 20, Iss. 6, pp. 2193-2216
Open Access | Times Cited: 7
Day-ahead energy-mix proportion for the secure operation of renewable energy-dominated power system
Ashish Shrestha, Yaju Rajbhandari, Francisco Gonzalez‐Longatt
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109560-109560
Open Access | Times Cited: 6
Toward an Enhanced Stock Market Forecasting with Machine Learning and Deep Learning Models
Rihab Najem, Ayoub Bahnasse, Mohamed Talea
Procedia Computer Science (2024) Vol. 241, pp. 97-103
Open Access | Times Cited: 2
Deep learning approaches for MIMO time-series analysis
Fachrul Kurniawan, Sarina Sulaiman, Siaka Konate, et al.
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 2, pp. 286-286
Open Access | Times Cited: 6
Mathematical optimization and prediction of Febuxostat xanthine oxidase inhibitor solubility through supercritical CO2 system using machine-learning approach
Umme Hani, Zainab Ali Bu Sinnah, Ahmad J. Obaidullah, et al.
Journal of Molecular Liquids (2023) Vol. 387, pp. 122486-122486
Closed Access | Times Cited: 5
Development of a novel machine learning approach to optimize important parameters for improving the solubility of an anti-cancer drug within green chemistry solvent
Muteb Alanazi, Bader Huwaimel, Jowaher Alanazi, et al.
Case Studies in Thermal Engineering (2023) Vol. 49, pp. 103273-103273
Open Access | Times Cited: 5
Wind Speed Forecasting using Hybrid Model of CNN and LSTM with Wavelets
Kaung Myat San, Jai Govind Singh, K. Natarajan
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023), pp. 297-301
Closed Access | Times Cited: 5
Seismic Fragility Analysis of Steel Pipe Pile Wharves with Random Pitting Corrosion
Xuanming Zhao, Xu Liao, Zhaohui Hu, et al.
Buildings (2023) Vol. 13, Iss. 10, pp. 2619-2619
Open Access | Times Cited: 5
Machine learning aided drug development: Assessing improvement of drug efficiency by correlation of solubility in supercritical solvent for nanomedicine preparation
Mohammed Ghazwani, M. Yasmin Begum
Journal of Molecular Liquids (2023) Vol. 387, pp. 122511-122511
Closed Access | Times Cited: 4

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