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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:

Understanding energy demand behaviors through spatio-temporal smart meter data analysis
Zhibin Niu, Junqi Wu, Xiufeng Liu, et al.
Energy (2021) Vol. 226, pp. 120493-120493
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Experimental evaluation of model-free reinforcement learning algorithms for continuous HVAC control
Marco Biemann, Fabian Scheller, Xiufeng Liu, et al.
Applied Energy (2021) Vol. 298, pp. 117164-117164
Open Access | Times Cited: 123
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
Ensuring power quality and demand-side management through IoT-based smart meters in a developing country
Md. Tanvir Ahammed, Imran Khan
Energy (2022) Vol. 250, pp. 123747-123747
Closed Access | Times Cited: 49
Energy data generation with Wasserstein Deep Convolutional Generative Adversarial Networks
Jianbin Li, Zhiqiang Chen, Long Cheng, et al.
Energy (2022) Vol. 257, pp. 124694-124694
Open Access | Times Cited: 48
Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation
Zhiqiang Chen, Jianbin Li, Long Cheng, et al.
Applied Energy (2023) Vol. 334, pp. 120711-120711
Open Access | Times Cited: 28
Analysis of residential electricity consumption patterns utilizing smart-meter data: Dubai as a case study
Hasan Rafiq, Prajowal Manandhar, Edwin Rodríguez-Ubiñas, et al.
Energy and Buildings (2023) Vol. 291, pp. 113103-113103
Closed Access | Times Cited: 23
Empowering urban energy transition through data-driven decision-making: A statistical examination of technological innovations in transportation and mobility
Fuli Zhang, Ling Zhou, Zhichen Wang, et al.
Sustainable Cities and Society (2024) Vol. 106, pp. 105374-105374
Closed Access | Times Cited: 8
An energy demand-side management and net metering decision framework
Hanguan Wen, Xiufeng Liu, Ming Yang, et al.
Energy (2023) Vol. 271, pp. 127075-127075
Open Access | Times Cited: 19
Operational optimization for the grid-connected residential photovoltaic-battery system using model-based reinforcement learning
Yang Xu, Weijun Gao, Yanxue Li, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106774-106774
Closed Access | Times Cited: 19
Energy retrofits for smart and connected communities: Scopes and technologies
Lei Shu, Yunjeong Mo, Dong Zhao
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114510-114510
Closed Access | Times Cited: 7
Smart Meters for Smart Energy: A Review of Business Intelligence Applications
Muhammad Haseeb Raza, Yousaf Murtaza Rind, Isma Javed, et al.
IEEE Access (2023) Vol. 11, pp. 120001-120022
Open Access | Times Cited: 13
A novel entropy-based method for quantifying urban energy demand aggregation: Implications for urban planning and policy
Renfang Wang, Xiufeng Liu, Xinyu Zhao, et al.
Sustainable Cities and Society (2024) Vol. 103, pp. 105284-105284
Open Access | Times Cited: 5
Dual-stage attention-based long-short-term memory neural networks for energy demand prediction
Jieyang Peng, Andreas Kimmig, Jiahai Wang, et al.
Energy and Buildings (2021) Vol. 249, pp. 111211-111211
Open Access | Times Cited: 30
Variable Split Convolutional Attention: A novel Deep Learning model applied to the household electric power consumption
Rui Gonçalves, Vítor Miguel Ribeiro, Фернандо Лобо Перейра
Energy (2023) Vol. 274, pp. 127321-127321
Open Access | Times Cited: 10
Optimizing loss functions for improved energy demand prediction in smart power grids
Fariza Nussipova, Shynggys Rysbekov, Зухра Абдиахметова, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3415-3415
Open Access | Times Cited: 3
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network
Hehe Wu, Xiaoyong Pan, Yang Yang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 22
A novel cluster-specific analysis framework for demand-side management and net metering using smart meter data
Rajesh K. Ahir, Basab Chakraborty
Sustainable Energy Grids and Networks (2022) Vol. 31, pp. 100771-100771
Closed Access | Times Cited: 13
Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach
Junqi Wu, Zhibin Niu, Xiang Li, et al.
Energy (2022) Vol. 263, pp. 125939-125939
Open Access | Times Cited: 12
Analysis of regulatory process for the implementation of smart metering in Brazil
Flávia Cristina Lima Alves, Amaro Olímpio Pereira, Mateus Sánchez
Decision Analytics Journal (2022) Vol. 3, pp. 100053-100053
Open Access | Times Cited: 10
A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework
Jieyang Peng, Andreas Kimmig, Zhibin Niu, et al.
Applied Energy (2021) Vol. 299, pp. 117321-117321
Open Access | Times Cited: 13
Visual interpretation of deep deterministic policy gradient models for energy consumption prediction
Huixue Wang, Yunzhe Wang, You Lü, et al.
Journal of Building Engineering (2023) Vol. 79, pp. 107847-107847
Closed Access | Times Cited: 5
Key Factors Which Contribute to the Participation of Consumers in Demand Response Programs and Enable the Proliferation of Renewable Energy Sources
Adrian Tanțǎu, András Puskás-Tompos, Costel Stanciu, et al.
Energies (2021) Vol. 14, Iss. 24, pp. 8273-8273
Open Access | Times Cited: 12
Reinforcement Learning with Dual Safety Policies for Energy Savings in Building Energy Systems
Xingbin Lin, Deyu Yuan, Xifei Li
Buildings (2023) Vol. 13, Iss. 3, pp. 580-580
Open Access | Times Cited: 4
A Framework Based on Deep Learning for Predicting Multiple Safety-Critical Parameter Trends in Nuclear Power Plants
Haixia Gu, Gaojun Liu, Jixue Li, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6310-6310
Open Access | Times Cited: 4
Raising user awareness through unsupervised clustering of energy consumption habits
Francesca Marcello, Michele Nitti, Virginia Pilloni
Future Generation Computer Systems (2024), pp. 107623-107623
Open Access | Times Cited: 1
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