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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 Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid
Thamer‎ Alquthami, M. Zulfiqar, Muhammad Kamran, et al.
IEEE Access (2022) Vol. 10, pp. 48419-48433
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 57
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
S. N. V. Bramareswara Rao, Y. V. Pavan Kumar, Kottala Padma, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6124-6124
Open Access | Times Cited: 57
PSO-Stacking improved ensemble model for campus building energy consumption forecasting based on priority feature selection
Yisheng Cao, Gang Liu, Jianping Sun, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106589-106589
Closed Access | Times Cited: 32
A comprehensive review of advancements in green IoT for smart grids: Paving the path to sustainability
P. Pandiyan, S. Saravanan, Raju Kannadasan, et al.
Energy Reports (2024) Vol. 11, pp. 5504-5531
Open Access | Times Cited: 11
Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning
Mashael M. Asiri, Ghadah Aldehim, Faiz Abdullah Alotaibi, et al.
IEEE Access (2024) Vol. 12, pp. 23504-23513
Open Access | Times Cited: 9
Short-Term Load Forecasting Based on Optimized Random Forest and Optimal Feature Selection
Bianca Magalhães, Pedro Bento, José Pombo, et al.
Energies (2024) Vol. 17, Iss. 8, pp. 1926-1926
Open Access | Times Cited: 8
Enhancing smart grid load forecasting: An attention-based deep learning model integrated with federated learning and XAI for security and interpretability
Md Al Amin Sarker, Bharanidharan Shanmugam, Sami Azam, et al.
Intelligent Systems with Applications (2024) Vol. 23, pp. 200422-200422
Open Access | Times Cited: 8
Advancements in Digital Twin Technology and Machine Learning for Energy Systems: A Comprehensive Review of Applications in Smart Grids, Renewable Energy, and Electric Vehicle Optimisation
Opy Das, Muhammad Hamza Zafar, Filippo Sanfilippo, et al.
Energy Conversion and Management X (2024), pp. 100715-100715
Open Access | Times Cited: 8
Review on smart grid load forecasting for smart energy management using machine learning and deep learning techniques
Biswajit Biswal, Subhasish Deb, Subir Datta, et al.
Energy Reports (2024) Vol. 12, pp. 3654-3670
Open Access | Times Cited: 4
Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting
C. Jeevakarunya, V. Manikandan
AIP Advances (2025) Vol. 15, Iss. 1
Open Access
Energy flexibility and management software in building clusters: A comprehensive review
Behnam Mohseni-Gharyehsafa, Adamantios Bampoulas, Donal Finn, et al.
Next Energy (2025) Vol. 8, pp. 100250-100250
Closed Access
Throughput prediction of fifth-generation cellular system using hybrid feature selection and enhanced sequential decision tree machine learning algorithm
Abhilasha Sharma, Shweta Pandit, Salman Raju Talluri
Wireless Networks (2025)
Closed Access
Integration of Artificial Intelligence in the Control, Diagnosis Faults, and Estimation of Parameters of Permanent Magnet Synchronous Machines (PMSMs)
Said Ziani, Hafid Ben Achour
Advances in computational intelligence and robotics book series (2025), pp. 311-326
Closed Access
Machine learning techniques for vector control of permanent magnet synchronous motor drives
Ashly Mary Tom, J. L. Febin Daya
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
A Short-Term Load Forecasting Model Based on Self-Adaptive Momentum Factor and Wavelet Neural Network in Smart Grid
M. Zulfiqar, Muhammad Kamran, Muhammad Babar Rasheed, et al.
IEEE Access (2022) Vol. 10, pp. 77587-77602
Open Access | Times Cited: 14
NeuroQuMan: quantum neural network-based consumer reaction time demand response predictive management
Ashkan Safari, Mohammad Ali Badamchizadeh
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 19121-19138
Closed Access | Times Cited: 2
AI and Machine Learning in V2G Technology: A Review of Bi-Directional Converters, Charging Systems, and Control Strategies for Smart Grid Integration
Nagarajan Munusamy, V. Indragandhi
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024), pp. 100856-100856
Open Access | Times Cited: 2
Review of multiple load forecasting method for integrated energy system
Yujiao Liu, Yan Li, Guoliang Li, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6
Reinforcement Learning-Enabled Electric Vehicle Load Forecasting for Grid Energy Management
M. Zulfiqar, Nahar F. Alshammari, Muhammad Babar Rasheed
Mathematics (2023) Vol. 11, Iss. 7, pp. 1680-1680
Open Access | Times Cited: 5
Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization
Fazeel Abid, Muhammad Alam, Faten S. Alamri, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 9, pp. 19993-20017
Open Access | Times Cited: 5
A decentralized framework for enhancing security in power systems through blockchain technology and trading system
V. Thiruppathy Kesavan, D. Danalakshmi, R. Gopi, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 3454-3475
Closed Access | Times Cited: 1
Demand-side load forecasting in smart grids using machine learning techniques
Muhammad Yasir Masood, Sana Aurangzeb, Muhammad Aleem, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1987-e1987
Open Access | Times Cited: 1
Advanced Machine Learning-Driven Security and Anomaly Identification in Inverter-Based Cyber-Physical Microgrids
K. Gokulraj, C. B. Venkatramanan
Electric Power Components and Systems (2024), pp. 1-18
Closed Access | Times Cited: 1
Agriculture Yield Forecasting via Regression and Deep Learning with Machine Learning Techniques
Aishwarya Kadu, K. T. V. Reddy
Lecture notes in networks and systems (2024), pp. 219-233
Closed Access | Times Cited: 1
Deep Neural Network-Based Smart Grid Stability Analysis: Enhancing Grid Resilience and Performance
Pranobjyoti Lahon, Aditya Bihar Kandali, Utpal Barman, et al.
Energies (2024) Vol. 17, Iss. 11, pp. 2642-2642
Open Access | Times Cited: 1
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