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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:

Generalizability Improvement of Deep Learning-Based Non-Intrusive Load Monitoring System Using Data Augmentation
Hasan Rafiq, Xiaohan Shi, Hengxu Zhang, et al.
IEEE Transactions on Smart Grid (2021) Vol. 12, Iss. 4, pp. 3265-3277
Closed Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Non-Intrusive Load Monitoring: A Review
Pascal A. Schirmer, Iosif Mporas
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 1, pp. 769-784
Closed Access | Times Cited: 124
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Aya Nabil Sayed, Yassine Himeur, Fayçal Bensaali
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105254-105254
Open Access | Times Cited: 88
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4025-4025
Open Access | Times Cited: 53
A review of current methods and challenges of advanced deep learning-based non-intrusive load monitoring (NILM) in residential context
Hasan Rafiq, Prajowal Manandhar, Edwin Rodríguez-Ubiñas, et al.
Energy and Buildings (2024) Vol. 305, pp. 113890-113890
Closed Access | Times Cited: 17
Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring
Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5872-5872
Open Access | Times Cited: 60
Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review
Suryalok Dash, N. C. Sahoo
Electric Power Systems Research (2022) Vol. 213, pp. 108673-108673
Closed Access | Times Cited: 53
Current status, challenges, and prospects of data-driven urban energy modeling: A review of machine learning methods
Prajowal Manandhar, Hasan Rafiq, Edwin Rodríguez-Ubiñas
Energy Reports (2023) Vol. 9, pp. 2757-2776
Open Access | Times Cited: 30
An online energy management system for AC/DC residential microgrids supported by non-intrusive load monitoring
Halil Çimen, Najmeh Bazmohammadi, Abderezak Lashab, et al.
Applied Energy (2021) Vol. 307, pp. 118136-118136
Open Access | Times Cited: 48
A Time Efficient Factorial Hidden Markov Model-Based Approach for Non-Intrusive Load Monitoring
Partik Kumar, A. R. Abhyankar
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 5, pp. 3627-3639
Closed Access | Times Cited: 17
Non-Intrusive Load Monitoring of Household Devices Using a Hybrid Deep Learning Model through Convex Hull-Based Data Selection
Inoussa Habou Laouali, A.E. Ruano, M.G. Ruano, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 1215-1215
Open Access | Times Cited: 22
A Reference Architecture for Cloud–Edge Meta-Operating Systems Enabling Cross-Domain, Data-Intensive, ML-Assisted Applications: Architectural Overview and Key Concepts
Panagiotis Trakadas, Xavi Masip‐Bruin, Federico Michele Facca, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 9003-9003
Open Access | Times Cited: 22
Non-Intrusive Load Monitoring by Load Trajectory and Multi-Feature Based on DCNN
Hui Yin, Kaile Zhou, Shanlin Yang
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10388-10400
Closed Access | Times Cited: 13
Non-Intrusive Load Monitoring in industrial settings: A systematic review
Giulia Tanoni, Emanuele Principi, Stefano Squartini
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114703-114703
Open Access | Times Cited: 5
Unsupervised learning for efficiently distributing EVs charging loads and traffic flows in coupled power and transportation systems
Tao Qian, Zeyu Liang, Chengcheng Shao, et al.
Applied Energy (2024) Vol. 377, pp. 124476-124476
Closed Access | Times Cited: 5
Electricity terminal multi-label recognition with a “one-versus-all” rejection recognition algorithm based on adaptive distillation increment learning and attention MobileNetV2 network for non-invasive load monitoring
Linfei Yin, Nannan Wang, Jishen Li
Applied Energy (2025) Vol. 382, pp. 125307-125307
Closed Access
Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
Sakib Mahmud, Fayçal Bensaali, Muhammad E. H. Chowdhury, et al.
Building and Environment (2025), pp. 112635-112635
Open Access
A low-frequency residential NILM approach based on adaptive event detection
Zhao Li, Zhao Luo, Gang Wang, et al.
Journal of Building Engineering (2025), pp. 112543-112543
Closed Access
MSRConvNet: Classification of railway track defects using multi-scale residual convolutional neural network
Hakan Açıkgöz, Deniz Korkmaz
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105965-105965
Closed Access | Times Cited: 11
An ensemble-policy non-intrusive load monitoring technique based entirely on deep feature-guided attention mechanism
Zhuojie Nie, Yongbiao Yang, Qingshan Xu
Energy and Buildings (2022) Vol. 273, pp. 112356-112356
Closed Access | Times Cited: 18
A multi-head Convolutional Neural Network based non-intrusive load monitoring algorithm under dynamic grid voltage conditions
Himanshu Grover, Lokesh Kumar Panwar, Ashu Verma, et al.
Sustainable Energy Grids and Networks (2022) Vol. 32, pp. 100938-100938
Open Access | Times Cited: 16
A Novel Diagnosis Method Based on the Feature Selection Algorithm and Convolutional Neural Network for SF6 Gas-Insulated Equipment
Haoyue Zhang, Fuping Zeng, Zhicheng Lei, et al.
IEEE Transactions on Dielectrics and Electrical Insulation (2023) Vol. 30, Iss. 3, pp. 1274-1282
Closed Access | Times Cited: 10
Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring
Gang Huang, Zhou Zhou, Fei Wu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 6, pp. 7312-7322
Closed Access | Times Cited: 15
Transferable Tree-Based Ensemble Model for Non-Intrusive Load Monitoring
Xiaomin Chang, Wei Li, Chunqiu Xia, et al.
IEEE Transactions on Sustainable Computing (2022) Vol. 7, Iss. 4, pp. 970-981
Closed Access | Times Cited: 13
An Integrated Transfer Learning Method for Power Generation Prediction of Run-Off Small Hydropower in Data-Scarce Areas
Zetao Wei, Xiaodong Shen, Gao Qiu, et al.
IEEE Transactions on Smart Grid (2023) Vol. 15, Iss. 1, pp. 1030-1041
Closed Access | Times Cited: 7
A Few-Shot Learning Method for Nonintrusive Load Monitoring With V–I Trajectory Features
Yinghua Han, Quan Gao, Haoqi Chen, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11867-11877
Closed Access | Times Cited: 2
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