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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:

Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data
Wenjun Tang, Hao Wang, Xian-Long Lee, et al.
Energy (2021) Vol. 240, pp. 122500-122500
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Smart Energy Meters for Smart Grids, an Internet of Things Perspective
Yousaf Murtaza Rind, Muhammad Haseeb Raza, Muhammad Zubair, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1974-1974
Open Access | Times Cited: 52
A real-time electrical load forecasting and unsupervised anomaly detection framework
Xinlin Wang, Zhihao Yao, Marios Papaefthymiou
Applied Energy (2022) Vol. 330, pp. 120279-120279
Open Access | Times Cited: 51
Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China
Liu Jun, Yu Qian, Yuanjun Yang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 4, pp. 2091-2091
Open Access | Times Cited: 48
AI-Empowered Methods for Smart Energy Consumption: A Review of Load Forecasting, Anomaly Detection and Demand Response
Xinlin Wang, Hao Wang, Binayak Bhandari, et al.
International Journal of Precision Engineering and Manufacturing-Green Technology (2023) Vol. 11, Iss. 3, pp. 963-993
Open Access | Times Cited: 40
Review of application of high frequency smart meter data in energy economics and policy research
Xiaofeng Ye, Zheyu Zhang, Yueming Qiu
Frontiers in Sustainable Energy Policy (2023) Vol. 2
Open Access | Times Cited: 23
Detecting changes in price-sensitivity of household electricity consumption: The impact of the global energy crisis on implicit demand response behavior of Finnish detached households
Johannes Einolander, Annamari Kiviaho, Risto Lahdelma
Energy and Buildings (2024) Vol. 306, pp. 113941-113941
Open Access | Times Cited: 9
Does artificial intelligence reduce corporate energy consumption? New evidence from China
Yunyun FU, Yongchang Shen, Malin SONG, et al.
Economic Analysis and Policy (2024) Vol. 83, pp. 548-561
Closed Access | Times Cited: 8
Evaluation of energy consumption data for business consumers
Anchal Pathak, A. Deivasree Anbu, A. Jamil, et al.
Environment Development and Sustainability (2025)
Closed Access | Times Cited: 1
A review of current analytical methods, modelling tools and development frameworks applicable for future retail electricity market design
Harrison Hampton, Aoife Foley
Energy (2022) Vol. 260, pp. 124861-124861
Open Access | Times Cited: 30
Heterogeneity and connection in the spatial–temporal evolution trend of China’s energy consumption at provincial level
Xin Cao, Chang Liu, Mingxuan Wu, et al.
Applied Energy (2023) Vol. 336, pp. 120842-120842
Closed Access | Times Cited: 20
A Future Direction of Machine Learning for Building Energy Management: Interpretable Models
Luca Gugliermetti, Fabrizio Cumo, Sofia Agostinelli
Energies (2024) Vol. 17, Iss. 3, pp. 700-700
Open Access | Times Cited: 7
Mismatch analysis of rooftop photovoltaics supply and farmhouse load: Data dimensionality reduction and explicable load pattern mining via hybrid deep learning
Ding Gao, Yuan Zhi, Xing Rong, et al.
Applied Energy (2024) Vol. 377, pp. 124520-124520
Closed Access | Times Cited: 6
Comparative Analysis of Data-Driven Techniques to Predict Heating and Cooling Energy Requirements of Poultry Buildings
Erdem Küçüktopçu
Buildings (2023) Vol. 13, Iss. 1, pp. 142-142
Open Access | Times Cited: 14
Personalized federated learning for household electricity load prediction with imbalanced historical data
Shibo Zhu, Xiaodan Shi, Huan Zhao, et al.
Applied Energy (2025) Vol. 384, pp. 125419-125419
Open Access
Deciphering city-level residential AMI data: An unsupervised data mining framework and case study
Han Li, Miguel Heleno, Kaiyu Sun, et al.
Energy and AI (2025), pp. 100484-100484
Open Access
DPP-GAN: A Decentralized and Privacy-Preserving GAN System for Collaborative Smart Meter Data Generation
Jianbin Li, Xi Xi, Shike Li, et al.
Energy and Buildings (2025) Vol. 333, pp. 115489-115489
Closed Access
Influencing Factors and Energy-saving Effects of China’s Trade-in of Consumer Goods: A Case Study of Air Conditioners Based on Questionnaire Survey
Lingsi Kong, Yan Bai, Jiajia Shao, et al.
Energy (2025), pp. 136231-136231
Closed Access
Characterizing residential load patterns on multi-time scales utilizing LSTM autoencoder and electricity consumption data
Wei Yang, Xin‐Hao Li, Chao Chen, et al.
Sustainable Cities and Society (2022) Vol. 84, pp. 104007-104007
Closed Access | Times Cited: 18
Identifying Home System of Practices for Energy Use with K-Means Clustering Techniques
Troy Malatesta, Jessica K. Breadsell
Sustainability (2022) Vol. 14, Iss. 15, pp. 9017-9017
Open Access | Times Cited: 18
Quantifying households’ carbon footprint in cities using socioeconomic attributes: A case study for The Hague (Netherlands)
Ruchik Patel, Antonino Marvuglia, Paul Baustert, et al.
Sustainable Cities and Society (2022) Vol. 86, pp. 104087-104087
Open Access | Times Cited: 16
A new deep clustering method with application to customer selection for demand response program
Jiang‐Wen Xiao, Yutao Xie, Hongliang Fang, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 150, pp. 109072-109072
Closed Access | Times Cited: 10
Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions
Somalee Mitra, Basab Chakraborty, Pabitra Mitra
Energy (2023) Vol. 289, pp. 129920-129920
Closed Access | Times Cited: 9
Driving forces and typologies behind household energy consumption disparities in China: A machine learning-based approach
Yi Wu, Yixuan Zhang, Yifan Li, et al.
Journal of Cleaner Production (2024) Vol. 467, pp. 142870-142870
Open Access | Times Cited: 3
A novel approach for identifying customer groups for personalized demand-side management services using household socio-demographic data
Hanguan Wen, Xiufeng Liu, Ming Yang, et al.
Energy (2023) Vol. 286, pp. 129593-129593
Open Access | Times Cited: 7
Variability in electricity consumption by category of consumer: The impact on electricity load profiles
Philipp Andreas Gunkel, Henrik Klinge Jacobsen, Claire Bergaentzlé, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 147, pp. 108852-108852
Open Access | Times Cited: 12
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