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:

Electric load forecasting under False Data Injection Attacks using deep learning
Arash Moradzadeh, Mostafa Mohammadpourfard, Charalambos Konstantinou, et al.
Energy Reports (2022) Vol. 8, pp. 9933-9945
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
Yusha Hu, Yi Man
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113405-113405
Closed Access | Times Cited: 80

A deep model for short-term load forecasting applying a stacked autoencoder based on LSTM supported by a multi-stage attention mechanism
Zahra Fazlipour, Elaheh Mashhour, Mahmood Joorabian
Applied Energy (2022) Vol. 327, pp. 120063-120063
Closed Access | Times Cited: 57

Deep learning for cybersecurity in smart grids: Review and perspectives
Jiaqi Ruan, Gaoqi Liang, Junhua Zhao, et al.
Energy Conversion and Economics (2023) Vol. 4, Iss. 4, pp. 233-251
Open Access | Times Cited: 31

Deep learning methods utilization in electric power systems
Saima Akhtar, Muhammad Adeel, Muhammad Iqbal, et al.
Energy Reports (2023) Vol. 10, pp. 2138-2151
Open Access | Times Cited: 31

A detailed review of power system resilience enhancement pillars
Dillip Kumar Mishra, Mohsen Eskandari, Mohammad Hossein Abbasi, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110223-110223
Closed Access | Times Cited: 12

Distribution System State Estimation and False Data Injection Attack Detection with a Multi-Output Deep Neural Network
Sepideh Radhoush, Trevor Vannoy, Kaveen Liyanage, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2288-2288
Open Access | Times Cited: 17

FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks
Habib Ullah Manzoor, Ahsan Raza Khan, David Flynn, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3570-3570
Open Access | Times Cited: 17

A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi‐Ivatloo, et al.
Renewable Energy (2023) Vol. 211, pp. 697-705
Open Access | Times Cited: 17

Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
Energy and Buildings (2024) Vol. 324, pp. 114871-114871
Open Access | Times Cited: 3

TADNet: Temporal Attention Decomposition Networks for Probabilistic Energy Forecasting
Jiarui Ye, Bo Zhao, Derong Liu, et al.
IEEE Transactions on Power Systems (2024) Vol. 39, Iss. 6, pp. 7190-7202
Closed Access | Times Cited: 2

Metaheuristics based dimensionality reduction with deep learning driven false data injection attack detection for enhanced network security
Thavavel Vaiyapuri, Huda Aldosari, Ghada Alharbi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2

Preserving microgrid sustainability through robust islanding detection scheme ensuring cyber-situational awareness
Mohsen Tajdinian, Mostafa Mohammadpourfard, Yang Weng, et al.
Sustainable Cities and Society (2023) Vol. 96, pp. 104592-104592
Closed Access | Times Cited: 6

Short‐term electrical load forecasting model based on multi‐dimensional meteorological information spatio‐temporal fusion and optimized variational mode decomposition
Ling Yun Wang, Xiang Zhou, Honglei Xu, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 20, pp. 4647-4663
Open Access | Times Cited: 5

Generalized global solar radiation forecasting model via cyber-secure deep federated learning
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi‐Ivatloo, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 12, pp. 18281-18295
Open Access | Times Cited: 4

Sustainable Supply Chain Management of Electric Grid Power Consumption Load for Smart Cities Based on Second-order Exponential Smoothing Algorithm
Theodoros Anagnostopoulos, Faidon Komisopoulos, Andreas Vlachos, et al.
WSEAS TRANSACTIONS ON SYSTEMS (2022) Vol. 21, pp. 247-256
Open Access | Times Cited: 5

A Review and Analysis of Attack and Countermeasure Approaches for Enhancing Smart Grid Cybersecurity
Amir Meydani, Hossein Shahinzadeh, Ali Ramezani, et al.
(2024), pp. 1-19
Closed Access

A Hybrid Model for Short-Term Energy Load Prediction Based on Transfer Learning with LightGBM for Smart Grids in Smart Energy Systems
Surjeet Dalal, Umesh Kumar Lilhore, Bijeta Seth, et al.
Journal of Urban Technology (2024), pp. 1-27
Closed Access

Cyber intrusion detection for line current differential relays in DC distribution system
Kirti Gupta, Rabindra Mohanty, Subham Sahoo, et al.
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 101065-101065
Closed Access | Times Cited: 1

Evaluation of False Data Injection to Meters in Developed Energy Hub System
Daryoush Tavangar Rizi, Mohammad Hassan Nazari, Seyed Hossein Hosseinian, et al.
(2023), pp. 45-49
Closed Access | Times Cited: 1

Broad Transfer Learning Network based Li-ion battery lifetime prediction model
Ping‐Huan Kuo, Yung‐Ruen Tseng, Po‐Chien Luan, et al.
Energy Reports (2023) Vol. 10, pp. 881-893
Open Access | Times Cited: 1

An Intelligent Adversarial Deep Forecasting Model for Load Demand Using Hybrid Modified DA-GAN
Yanfei Ling, Xiaofei Li, Chi Li, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2023), pp. 1340-1345
Closed Access | Times Cited: 1

Black-Box Stealthy Frequency Spectrum Attack on LSTM-based Power Load Forecasting in an Energy Management System with Islanded Microgrid
Amirhossein Nazeri, Roghieh A. Biroon, Pierluigi Pisu
2021 North American Power Symposium (NAPS) (2023), pp. 1-6
Closed Access | Times Cited: 1

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