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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 Machine Learning Approach for Detecting Unemployment Using the Smart Metering Infrastructure
Casimiro Curbelo Montañez, William Hurst
IEEE Access (2020) Vol. 8, pp. 22525-22536
Open Access | Times Cited: 24

Showing 24 citing articles:

Energy poverty prediction and effective targeting for just transitions with machine learning
Constantine Spandagos, Miguel Angel Tovar Reaños, Muireann Á. Lynch
Energy Economics (2023) Vol. 128, pp. 107131-107131
Open Access | Times Cited: 14
Cluster Analysis and Model Comparison Using Smart Meter Data
Muhammad Arslan Shaukat, Haafizah Rameeza Shaukat, Zakria Qadir, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3157-3157
Open Access | Times Cited: 31
Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review
Antonio E. Saldaña-González, Andreas Sumper, Mònica Aragüés‐Peñalba, et al.
Energies (2020) Vol. 13, Iss. 14, pp. 3730-3730
Open Access | Times Cited: 31
Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review
Ascensión López-Vargas, Agapito Ledezma-Espino, Araceli Sanchis-de-Miguel
Energy and Buildings (2022) Vol. 268, pp. 112233-112233
Closed Access | Times Cited: 16
Unemployment in Rural Europe: A Machine Learning Perspective
Mehmet Güney Celbiş
Applied Spatial Analysis and Policy (2022) Vol. 16, Iss. 3, pp. 1071-1095
Open Access | Times Cited: 14
A Novel Method CNN-LSTM Ensembler Based on Black Widow and Blue Monkey Optimizer for Electricity Theft Detection
Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2021) Vol. 9, pp. 141154-141166
Open Access | Times Cited: 19
Using Machine Learning for NEETs and Sustainability Studies: Determining Best Machine Learning Algorithms
Muhammet Berigel, Gizem Dilan Boztaş, Antonella La Rocca, et al.
Socio-Economic Planning Sciences (2024) Vol. 94, pp. 101921-101921
Closed Access | Times Cited: 2
Privacy-Functionality Trade-Off: A Privacy-Preserving Multi-Channel Smart Metering System
Xiaoyu Zhang, Stefanie Kuenzel, José‐Rodrigo Córdoba‐Pachón, et al.
Energies (2020) Vol. 13, Iss. 12, pp. 3221-3221
Open Access | Times Cited: 18
Applying Data Mining in Graduates’ Employability
Héritier Nsenge Mpia, Lucy Waruguru Mburu, Simon Nyaga Mwendia
International Journal of Engineering Pedagogy (iJEP) (2023) Vol. 13, Iss. 2, pp. 86-108
Open Access | Times Cited: 6
Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks
Ana-Maria Creţu, Miruna Rusu, Yves-Alexandre de Montjoye
(2024)
Open Access | Times Cited: 1
Smart Meter Data Analytics for Occupancy Detection of Buildings with Renewable Energy Generation
Alo Allik, Siim Muiste, Heino Pihlap
2022 11th International Conference on Renewable Energy Research and Application (ICRERA) (2020), pp. 248-251
Closed Access | Times Cited: 9
Smart Energy Meters in Renewable-Energy-Based Power Networks: An Extensive Review
Muhammad Usman Haider, Faisal Mumtaz, Haseeb Hassan Khan, et al.
(2022), pp. 23-23
Open Access | Times Cited: 6
Detection of Anomalies in the Operation of a Road Lighting System Based on Data from Smart Electricity Meters
Tomasz Śmiałkowski, Andrzej Czyżewski
Energies (2022) Vol. 15, Iss. 24, pp. 9438-9438
Open Access | Times Cited: 6
On the non-intrusive extraction of residents’ privacy- and security-sensitive information from energy smart meters
Pascal A. Schirmer, Iosif Mporas
Neural Computing and Applications (2021) Vol. 35, Iss. 1, pp. 119-132
Closed Access | Times Cited: 8
Analysis of Predictive Models for Revealing Household Characteristics using Smart Grid Data
Hussein Aly, Abdulaziz Al‐Ali, Abdulla Al‐Ali, et al.
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2023) Vol. 23, pp. 1-5
Closed Access | Times Cited: 2
A new smart approach of an efficient energy consumption management by using a machine-learning technique
Maha Yousif Hasan, Dheyaa Jasim Kadhim
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 25, Iss. 1, pp. 68-68
Open Access | Times Cited: 4
Machine Learning Models are Used to Analyze the Effectiveness of Daily Residential Area Energy Consumption
Kapil Aggarwal, Daniela Selvi, Vijay Kumar Rayabharapu, et al.
(2024), pp. 221-233
Closed Access
Battery-Induced Load Hiding and Its Utility Consequences
Hussein Aly, Emran Altamimi, Abdulaziz Al‐Ali, et al.
(2024), pp. 1-8
Closed Access
A Graph Label Propagation Semi-Supervised Learning-Based Residential User Profiles Identification Method Using Smart Meter Data
Hongsheng Li, Fengping Fu, Xinlei Bai, et al.
2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS) (2020) Vol. 56, pp. 550-556
Closed Access | Times Cited: 2
Design and Implementation of Missing Data Classification Technique for IoT Applications Using Artificial Intelligence
Gopal Patil Et.al
Türk bilgisayar ve matematik eğitimi dergisi (2021) Vol. 12, Iss. 3, pp. 4708-4715
Open Access | Times Cited: 1
Application of Internet of Things in Residential Distribution Systems
Walied Alfraidi, Fahad Alaql, M. Soltani, et al.
Sustainability (2023) Vol. 15, Iss. 21, pp. 15479-15479
Open Access
Information and Communication Technologies for Employability in Times of COVID-19, a Systematic Literature Review
Jesus Palacios-Loayza, Carlos Ayala-Inca, Michael Cabanillas-Carbonell
Lecture notes in networks and systems (2022), pp. 349-358
Closed Access
Integration of Federated Machine Learning in Smart Metering Systems
Nouran Waleed, Ibrahim Emad, M. G. Anany, et al.
(2022) Vol. 8, pp. 35-38
Closed Access
Engineering a Novel Recruitment System Using Gradient Boosted Decision Tree Algorithm and Business Intelligence Principles
Parvez Shaik, Abarna Arulprakasam, Istiak Ahamed, et al.
Journal of Pharmaceutical Negative Results (2022) Vol. 13, Iss. SO3
Open Access
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