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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:

Non-Intrusive Load Identification Method Based on Improved Long Short Term Memory Network
Jiateng Song, Hongbin Wang, Mingxing Du, et al.
Energies (2021) Vol. 14, Iss. 3, pp. 684-684
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

NILM applications: Literature review of learning approaches, recent developments and challenges
Georgios-Fotios Angelis, Christos Timplalexis, Stelios Krinidis, et al.
Energy and Buildings (2022) Vol. 261, pp. 111951-111951
Closed Access | Times Cited: 119
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
A novel carbon emission estimation method based on electricity‑carbon nexus and non-intrusive load monitoring
Yingqi Xia, Gengchen Sun, Yanfeng Wang, et al.
Applied Energy (2024) Vol. 360, pp. 122773-122773
Closed Access | Times Cited: 10
DeepDFML-NILM: A New CNN-Based Architecture for Detection, Feature Extraction and Multi-Label Classification in NILM Signals
Lucas da Silva Nolasco, André Eugênio Lazzaretti, Bruna Machado Mulinari
IEEE Sensors Journal (2021) Vol. 22, Iss. 1, pp. 501-509
Closed Access | Times Cited: 43
DeepEdge-NILM: A case study of non-intrusive load monitoring edge device in commercial building
R. Gopinath, Mukesh Kumar
Energy and Buildings (2023) Vol. 294, pp. 113226-113226
Closed Access | Times Cited: 16
Appliance Level Energy Characterization of Residential Electricity Demand: Prospects, Challenges and Recommendations
Rehan Liaqat, Intisar Ali Sajjad, Muhammad Waseem, et al.
IEEE Access (2021) Vol. 9, pp. 148676-148697
Open Access | Times Cited: 32
Research on non-intrusive load decomposition model based on parallel multi-scale attention mechanism and its application in smart grid
Guobing Pan, Haipeng Wang, 桃代 郷田, et al.
Energy and Buildings (2024) Vol. 312, pp. 114210-114210
Closed Access | Times Cited: 3
Research on non-intrusive load identification method based on multi-feature fusion with improved shufflenetv2
Haitao Wang, 鹏 王, Liang Shu
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076104-076104
Open Access | Times Cited: 2
An intelligent non-intrusive load monitoring model based on power encoding and convolutional state modules
Weiyue Xu, Changhao Jiang, Qihang Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086210-086210
Closed Access | Times Cited: 2
Low-Frequency Load Identification Using CNN-BiLSTM Attention Mechanism
Amanie Azzam, Saba Sanami, Amir G. Aghdam
(2024), pp. 712-717
Open Access | Times Cited: 2
Non-intrusive load monitoring method with inception structured CNN
Dong Ding, Junhuai Li, Kuo Zhang, et al.
Applied Intelligence (2021) Vol. 52, Iss. 6, pp. 6227-6244
Closed Access | Times Cited: 17
Non-Intrusive Load Monitoring Based on Swin-Transformer with Adaptive Scaling Recurrence Plot
Yongtao Shi, Xiaodong Zhao, Fan Zhang, et al.
Energies (2022) Vol. 15, Iss. 20, pp. 7800-7800
Open Access | Times Cited: 9
Non-Intrusive Load Monitoring Based on Residual U-Net and Conditional Generation Adversarial Networks
Jinlong Wang, Chengxin Pang, Xinhua Zeng, et al.
IEEE Access (2023) Vol. 11, pp. 77441-77451
Open Access | Times Cited: 5
An Event Matching Energy Disaggregation Algorithm Using Smart Meter Data
Rehan Liaqat, Intisar Ali Sajjad
Electronics (2022) Vol. 11, Iss. 21, pp. 3596-3596
Open Access | Times Cited: 8
Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?
Bartłomiej Gawin, Robert Małkowski, R. Rink
Energies (2023) Vol. 16, Iss. 5, pp. 2275-2275
Open Access | Times Cited: 4
Power Profile and Thresholding Assisted Multi-Label NILM Classification
Muhammad Asif Ali Rehmani, Saad Aslam, Shafiqur Rahman Tito, et al.
Energies (2021) Vol. 14, Iss. 22, pp. 7609-7609
Open Access | Times Cited: 6
Deep learning based non-intrusive load monitoring with low resolution data from smart meters
Marco Manca, Luca Massidda
Communications in Applied and Industrial Mathematics (2022) Vol. 13, Iss. 1, pp. 39-56
Open Access | Times Cited: 3
NILM-LANN: A Lightweight Attention-based Neural Network in Non-Intrusive Load Monitoring
Yanjing Lei, Zehui Feng, Xiangqing Lin, et al.
(2024), pp. 181-186
Closed Access
Transformative enhancement of predictive models via fourier transformer-based denoising for non-intrusive load monitoring
Lin Zhu, Lei Jiang, Xing He, et al.
(2024), pp. 9-9
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
New hybrid deep learning models for multi-target NILM disaggregation
Jamila Ouzine, Manal Marzouq, Saad Dosse Bennani, et al.
Energy Efficiency (2023) Vol. 16, Iss. 7
Closed Access | Times Cited: 1
Bats: An Appliance Safety Hazards Factors Detection Algorithm with an Improved Nonintrusive Load Disaggregation Method
Wei Wang, Zilin Wang, Yanru Chen, et al.
Energies (2021) Vol. 14, Iss. 12, pp. 3547-3547
Open Access | Times Cited: 2
Classification of High Frequency NILM Transients Based on Convolutional Neural Networks
Ian Guzman, K.W. Goossen, Kenneth E. Barner
(2022), pp. 1-6
Closed Access | Times Cited: 1
Research on Non-Intrusive Load Decomposition Model Based on Parallel Multi-Scale Attention Mechanism and its Application in Smart Grid
Guobing Pan, Haipeng Wang, Tao Tian, et al.
(2023)
Closed Access
Bidirectional Attention LSTM Networks for Non-instructive Load Monitoring
Yuwei Fan, Chao Liu, Tengbo Guo, et al.
2022 Prognostics and Health Management Conference (PHM-2022 London) (2022), pp. 399-404
Closed Access
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