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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:

Torch-NILM: An Effective Deep Learning Toolkit for Non-Intrusive Load Monitoring in Pytorch
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
Energies (2022) Vol. 15, Iss. 7, pp. 2647-2647
Open Access | Times Cited: 17

Showing 17 citing articles:

pNILM: Whole-process privacy preservation for non-intrusive load monitoring based on deep neural networks
Liqiang Wu, Shaojing Fu, Yiliang Han, et al.
Expert Systems with Applications (2025) Vol. 272, pp. 126689-126689
Closed Access | Times Cited: 1
Unknown appliances detection for non-intrusive load monitoring based on vision transformer with an additional detection head
Qiang Zhao, Weican Liu, Keke Li, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30666-e30666
Open Access | Times Cited: 4
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
A Lightweight Efficient Model for Household Edge-side Non-Intrusive Load Monitoring
Jingze Li, Mao Tan, Liu Wei, et al.
Energy and Buildings (2025), pp. 115700-115700
Closed Access
A non-intrusive load monitoring algorithm based on real-time feature extraction and deep learning model
Behrooz Taheri, Mostafa Sedighizadeh, Mohammad Reza Nasiri, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 168, pp. 110637-110637
Closed Access
Variational Regression for Multi-Target Energy Disaggregation
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas
Sensors (2023) Vol. 23, Iss. 4, pp. 2051-2051
Open Access | Times Cited: 8
Exploring the energy informatics and energy citizenship domains: a systematic literature review
Ajesh Kumar, Bilal Naqvi, Annika Wolff
Energy Informatics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 4
Expanding variety of non-intrusive load monitoring training data: Introducing and benchmarking a novel data augmentation technique
Johann Francou, Didier Calogine, Oanh Chau, et al.
Sustainable Energy Grids and Networks (2023) Vol. 35, pp. 101142-101142
Open Access | Times Cited: 4
Blind source separation in 3rd generation gravitational-wave detectors
F. Badaracco, B. Banerjee, M. Branchesi, et al.
New Astronomy Reviews (2024) Vol. 99, pp. 101707-101707
Closed Access | Times Cited: 1
HeartDIS: A Generalizable End-to-End Energy Disaggregation Pipeline
Ilias Dimitriadis, Nikolaos Virtsionis Gkalinikis, Nikolaos Gkiouzelis, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5115-5115
Open Access | Times Cited: 3
Efficient Deep Learning Techniques for Water Disaggregation
Nikolaos Virtsionis Gkalinikis, Dimitris Vrakas
(2022), pp. 1-6
Closed Access | Times Cited: 4
Edframe: Open-Source Library for End-to-End Energy Disaggregation in Python
Ilia Kamyshev, Vladimir Terzija, Elena Gryazina
(2023), pp. 01-07
Closed Access | Times Cited: 2
Design and Application of Artificial Intelligence GIS Algorithm Based on Deep Learning Technology
Tianrun Cai, Junxu Ge
(2023), pp. 1-5
Closed Access | Times Cited: 1
Load Forecasting using GNN-LSTM Attention Mechanism with Low-Frequency Data
Amanie Azzam, Saba Sanami, Amir G. Aghdam
2022 IEEE International Systems Conference (SysCon) (2024), pp. 1-5
Closed Access
An effective electrical load disaggregation approach for low-sampled smart meter data
Naveen Kumar Thokala, Spoorthy Paresh, M. Girish Chandra
(2022), pp. 149-158
Closed Access | Times Cited: 2
Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review
Synne Krekling Lien, Behzad Najafi, Jayaprakash Rajasekharan
Lecture notes in computer science (2023), pp. 179-201
Closed Access
Use of Deep Learning using the YOLOv5 and YOLOv8 models to estimate traffic sign recognition efficiency
Castro Casas Alexis Del Piero, Surichaqui Alvarez Sebastian Amulek
(2023), pp. 1-6
Closed Access
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