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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:

Electricity theft detection using big data and genetic algorithm in electric power systems
Faisal Shehzad, Nadeem Javaid, Sheraz Aslam, et al.
Electric Power Systems Research (2022) Vol. 209, pp. 107975-107975
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Using machine learning ensemble method for detection of energy theft in smart meters
Asif Iqbal Kawoosa, Deepak Prashar, Muhammad Faheem, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 21, pp. 4794-4809
Open Access | Times Cited: 27
A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid
Saad Hammood Mohammed, Abdulmajeed Al-Jumaily, Mandeep Singh Jit Singh, et al.
IEEE Access (2024) Vol. 12, pp. 44023-44042
Open Access | Times Cited: 9
VolcAshDB: a Volcanic Ash DataBase of classified particle images and features
Damià Benet, Fidel Costa, Christina Widiwijayanti, et al.
Bulletin of Volcanology (2024) Vol. 86, Iss. 1
Open Access | Times Cited: 8
An attention-based wide and deep CNN with dilated convolutions for detecting electricity theft considering imbalanced data
Rui Xia, Yunpeng Gao, Yanqing Zhu, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108886-108886
Closed Access | Times Cited: 20
Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities
Arshid Ali, Laiq Khan, Nadeem Javaid, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 3, pp. 413-445
Open Access | Times Cited: 4
Power Data Security Defense Technology Based on Behavior Profiling and Its Application in Cloud Environment
Qingqing Ren, H Li, Haitao Tian, et al.
Lecture notes in electrical engineering (2025), pp. 14-23
Closed Access
A critical review of technical case studies for electricity theft detection in smart grids: A new paradigm based transformative approach
Muhammad Sajid Iqbal, Shoaib Munawar, Muhammad Gufran Khan, et al.
Energy Conversion and Management X (2025), pp. 100965-100965
Open Access
Anomaly detection in smart grid using optimized extreme gradient boosting with SCADA system
Akash Sharma, Rajive Tiwari
Electric Power Systems Research (2024) Vol. 235, pp. 110876-110876
Closed Access | Times Cited: 3
Detecting Nontechnical Losses in Smart Meters Using a MLP-GRU Deep Model and Augmenting Data via Theft Attacks
Benish Kabir, U. Qasim, Nadeem Javaid, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 15001-15001
Open Access | Times Cited: 10
Deep learning-based meta-learner strategy for electricity theft detection
Faisal Shehzad, Zahid Ullah, Musaed Alhussein, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6
Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
Andrey Pazderin, Firuz Kamalov, Pavel Y. Gubin, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7460-7460
Open Access | Times Cited: 4
Deep semi-supervised electricity theft detection in AMI for sustainable and secure smart grids
Ruobin Qi, Qingqing Li, Zhirui Luo, et al.
Sustainable Energy Grids and Networks (2023) Vol. 36, pp. 101219-101219
Open Access | Times Cited: 4
Unleashing the Power of Big Data: A Comprehensive Analysis and Future Directions
Annu Sharma, Kumar Gaurav, Mansoor Farooq, et al.
(2023)
Closed Access | Times Cited: 4
A self-decision ant colony clustering algorithm for electricity theft detection
Zhengqiang Yang, Linyue Liu, Ning Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108442-108442
Closed Access | Times Cited: 1
AI Techniques in Detection of NTLs: A Comprehensive Review
Rakhi Yadav, Mainejar Yadav, Ranvijay Singh, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 1
A deep learning technique Alexnet to detect electricity theft in smart grids
Nitasha Khan, Muhammad Amir Raza, Darakhshan Ara, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 2
Energy Theft Detection in Smart Grids with Genetic Algorithm-Based Feature燬election
Muhammad Umair, Zafar Saeed, Faisal Saeed, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 3, pp. 5431-5446
Open Access | Times Cited: 4
Identification of electricity theft based on the k-means clustering method
Qian Lin, Mingming Li, Shuhui Feng, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 3
Detection and confirmation of electricity thefts in Advanced Metering Infrastructure by Long Short-Term Memory and fuzzy inference system models
Abdulrahaman Okino Otuoze, Mohd Wazir Mustafa, U. Sultana, et al.
Nigerian Journal of Technological Development (2024) Vol. 21, Iss. 1, pp. 112-130
Open Access
Research on FCM-LR cross electricity theft detection based on big data user profile
Ronghui Hu, Zhen Tong
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 7, pp. 3251-3265
Closed Access
Quantitative Analysis and Simulation of Electricity Bill Recovery Risk Project Performance Based on Machine Learning Algorithm
Wei-Ting Liao, Xiaoyan Yang, Hongyu Su, et al.
Advances in transdisciplinary engineering (2024)
Open Access
Artificial Intelligence-based Real-Time Electricity Metering Data Analysis and its Application to Anti-Theft Actions
Kai Liu, Anlei Liu, Xun Ma, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
Active tracking algorithm for personnel in power aerial work scene based on illumination weight distribution and attention
Zhiyu Mao, Manliang Cai, Siming He, et al.
(2024), pp. 164-164
Closed Access
A fast detection method for metering anomalies of three-phase energy meters based on sliding filter and decision tree
Zicheng Yang, Xiaofang Chen, Daifeng Gao, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111056-111056
Closed Access
Detection of electricity theft in Chinese power utility state grid corporation using hybrid deep learning model
Manjunatha Basavannappa Challageri, Gunapriya Balan, Balasubramanian Prabhu Kavin, et al.
Elsevier eBooks (2024), pp. 113-131
Closed Access
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