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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 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

Showing 16 citing articles:

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: 20
Peer-to-Peer Energy Trading Case Study Using an AI-Powered Community Energy Management System
Marwan Mahmoud, Sami Ben Slama
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7838-7838
Open Access | Times Cited: 18
Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters
Viktor Isanbaev, Raúl Baños, Fernando Martínez-Gil, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1251-1251
Open Access | Times Cited: 6
Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network
Jiacai Han, Pan Zeng
Computers & Electrical Engineering (2024) Vol. 119, pp. 109631-109631
Closed Access | Times Cited: 4
Sequence-to-point learning based on spatio-temporal attention fusion network for non-intrusive load monitoring
Shiqing Zhang, Youyao Fu, Xiaoming Zhao, et al.
Complex & Intelligent Systems (2025) Vol. 11, Iss. 3
Open Access
New parallel hybrid PHCNN-GRU deep learning model for multi-output NILM disaggregation
Jamila Ouzine, Manal Marzouq, Saad Dosse Bennani, et al.
Energy Efficiency (2025) Vol. 18, Iss. 3
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
An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm
Benjamin Kommey, Elvis Tamakloe, Jerry John Kponyo, et al.
IET Smart Cities (2024) Vol. 6, Iss. 3, pp. 132-155
Open Access | Times Cited: 3
Enhancing Residential Electricity Safety and Management: A Novel Non-Intrusive Load Monitoring-Based Methodology for Accurate Appliance Operational State Identification
Jiameng Liu, Chao Wang, Liangfeng Xu, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 503-503
Open Access | Times Cited: 2
Adaptive threshold event detection method based on standard deviation
Guobing Pan, Junjie Qian, Jing Ouyang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 075903-075903
Closed Access | Times Cited: 3
Non-Intrusive Load Monitoring Based on the Combination of Gate-Transformer and CNN
Zhoupeng Zai, Sheng Zhao, Zhengjiang Zhang, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2824-2824
Open Access | Times Cited: 3
Sequence-to-Point Learning Based on Spatio-Temporal Attention Fusion Network for Non-Intrusive Load Monitoring
Shiqing Zhang, Youyao Fu, Xiaoming Zhao, et al.
(2024)
Closed Access
Low-Frequency Non-intrusive Load Identification Based on Two-Stage Event Detection Method
Weibo Wang, L. Jing, Ziyu Zeng, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access
STNILM: Switch Transformer based Non-Intrusive Load Monitoring for short and long duration appliances
L.N. Sastry Varanasi, Sri Phani Krishna Karri
Sustainable Energy Grids and Networks (2023) Vol. 37, pp. 101246-101246
Closed Access | Times Cited: 1
Simulation‐data‐driven load disaggregation based on multi‐channel neural network for industrial and commercial users
Xiu Yang, Qian Jiang, Gaiping Sun, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 7, pp. 1652-1662
Open Access
Sequence-to-Point Learning Based on Spatio-Temporal Attention Fusion Network for Non-Intrusive Load Monitoring
Shiqing Zhang, Lei Wang, Youyao Fu, et al.
(2023)
Closed Access
Neural Network-Based Load Identification for Residential Electrical Installations. A Review and an Online Experimental Application
Gerardo Arno Sonck-Martinez, Abraham Efrain Rodríguez-Mata, Jesús A. Medrano-Hermosillo, et al.
Communications in computer and information science (2023), pp. 487-499
Closed Access
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