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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:

Machine learning autoencoder‐based parameters prediction for solar power generation systems in smart grid
Zafar Ahsan, Yanbo Che, Muhammad Faheem, et al.
IET Smart Grid (2024) Vol. 7, Iss. 3, pp. 328-350
Open Access | Times Cited: 12

Showing 12 citing articles:

Multilayer cyberattacks identification and classification using machine learning in internet of blockchain (IoBC)-based energy networks
Muhammad Faheem, Mahmoud Ahmad Al‐Khasawneh
Data in Brief (2024) Vol. 54, pp. 110461-110461
Open Access | Times Cited: 27
Cyberattack patterns in blockchain-based communication networks for distributed renewable energy systems: A study on big datasets
Muhammad Faheem, Mahmoud Ahmad Al‐Khasawneh, Arfat Ahmad Khan, et al.
Data in Brief (2024) Vol. 53, pp. 110212-110212
Open Access | Times Cited: 25
A blockchain‐based resilient and secure framework for events monitoring and control in distributed renewable energy systems
Muhammad Faheem, Basit Raza, Muhammad Shoaib Bhutta, et al.
IET Blockchain (2024)
Open Access | Times Cited: 17
Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation
Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, et al.
Engineering Reports (2024)
Open Access | Times Cited: 5
Optimization of solar and wind power plants production through a parallel fusion approach with modified hybrid machine and deep learning models
Muhammad Abubakar, Yanbo Che, Zafar Ahsan, et al.
Intelligent Data Analysis (2025)
Closed Access
Optimizing solar power efficiency in smart grids using hybrid machine learning models for accurate energy generation prediction
Muhammad Shoaib Bhutta, Yang Li, Muhammad Abubakar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Design and Development of Grid Connected Renewable Energy System for Electric Vehicle Loads in Taif, Kingdom of Saudi Arabia
Mohd Bilal, Pitshou N. Bokoro, Gulshan Sharma
Energies (2024) Vol. 17, Iss. 16, pp. 4088-4088
Open Access | Times Cited: 4
Open Tool for Automated Development of Renewable Energy Communities: Artificial Intelligence and Machine Learning Techniques for Methodological Approach
Giuseppe Piras, Francesco Muzi, Zahra Ziran
Energies (2024) Vol. 17, Iss. 22, pp. 5726-5726
Open Access | Times Cited: 3
Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques
Mounica Nutakki, Srihari Mandava
EURASIP Journal on Advances in Signal Processing (2024) Vol. 2024, Iss. 1
Open Access
Optimizing solar power generation forecasting in smart grids: a hybrid convolutional neural network -autoencoder long short-term memory approach
Zafar Ahsan, Yanbo Che, Moeed Sehnan, et al.
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 095249-095249
Closed Access
Solar Energy Prediction with Synergistic Adversarial Energy Forecasting System (Solar-SAFS): Harnessing Advanced Hybrid Techniques
S. Gomathi, E. Kannan, M. J. Carmel Mary Belinda, et al.
Case Studies in Thermal Engineering (2024), pp. 105197-105197
Open Access
A Stacked Machine Learning Framework for Predicting Electrical Power Grid Stability
Uma Rani, Karthika RN
Research Square (Research Square) (2024)
Closed Access
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