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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:

Times series forecasting for urban building energy consumption based on graph convolutional network
Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, et al.
Applied Energy (2021) Vol. 307, pp. 118231-118231
Open Access | Times Cited: 72

Showing 26-50 of 72 citing articles:

Machine learning application in building energy consumption prediction: A comprehensive review
Jingsong Ji, Hao Yu, Xudong Wang, et al.
Journal of Building Engineering (2025), pp. 112295-112295
Closed Access
Deep Learning Framework Using Transformer Networks for Multi Building Energy Consumption Prediction in Smart Cities
Samuel Moveh, Emmanuel Alejandro Merchán-Cruz, Maher Abuhussain, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1468-1468
Open Access
District heating load patterns and short-term forecasting for buildings and city level
Pengmin Hua, Haichao Wang, Zichan Xie, et al.
Energy (2023) Vol. 289, pp. 129866-129866
Open Access | Times Cited: 14
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: 4
Advancing Urban Building Energy Modeling: Building Energy Simulations for Three Commercial Building Stocks through Archetype Development
Md. Uzzal Hossain, Isabella Cicco, Melissa M. Bilec
Buildings (2024) Vol. 14, Iss. 5, pp. 1241-1241
Open Access | Times Cited: 4
Similarity-based grouping method for evaluation and optimization of dataset structure in machine-learning based short-term building cooling load prediction without measurable occupancy information
Xu Zhang, Yongjun Sun, Dian-ce Gao, et al.
Applied Energy (2022) Vol. 327, pp. 120144-120144
Closed Access | Times Cited: 20
Semantic-aware quality assessment of building elements using graph neural networks
Navid Kayhani, Brenda McCabe, Bharath Sankaran
Automation in Construction (2023) Vol. 155, pp. 105054-105054
Closed Access | Times Cited: 10
Multi-site solar irradiance forecasting based on adaptive spatiotemporal graph convolutional network
Haixiang Zang, Yue Zhang, Lilin Cheng, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121313-121313
Closed Access | Times Cited: 10
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 3
Clash context representation and change component prediction based on graph convolutional network in MEP disciplines
Yuqing Hu, Chen Xia, Jianli Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101896-101896
Closed Access | Times Cited: 9
Two-stage Text-to-BIMQL semantic parsing for building information model extraction using graph neural networks
Mengtian Yin, Llewellyn Tang, Chris Webster, et al.
Automation in Construction (2023) Vol. 152, pp. 104902-104902
Closed Access | Times Cited: 9
Assessment of Outdoor Design Conditions on the Energy Performance of Cooling Systems in Future Climate Scenarios—A Case Study over Three Cities of Texas, Unites States
Alireza Karimi, YouJoung Kim, Negar Mohammad Zadeh, et al.
Sustainability (2022) Vol. 14, Iss. 22, pp. 14848-14848
Open Access | Times Cited: 15
Towards more accurate and explainable supervised learning-based prediction of deliverability for underground natural gas storage
Aliyuda Ali, Kachalla Aliyuda, Nouh Sabri Elmitwally, et al.
Applied Energy (2022) Vol. 327, pp. 120098-120098
Open Access | Times Cited: 14
A Lightweight Multi-Dendritic Pyramidal Neuron Model with Neural Plasticity on Image Recognition
Yu Zhang, Pengxing Cai, Yanan Sun, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4415-4427
Closed Access | Times Cited: 2
Geometric Data in Urban Building Energy Modeling: Current Practices and the Case for Automation
Shima Norouzi Kandelan, N. Mohammed, Kuljeet Singh, et al.
Journal of Building Engineering (2024), pp. 110836-110836
Open Access | Times Cited: 2
Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review
Julius Adinkrah, Francis Kemausuor, Eric Tutu Tchao, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 210, pp. 115161-115161
Closed Access | Times Cited: 2
Prediction and comparison of urban electricity consumption based on grey system theory: A case study of 30 southern China cities
Meng Wang, Hang Yu, Rui Jing, et al.
Cities (2023) Vol. 137, pp. 104299-104299
Closed Access | Times Cited: 7
Design information-assisted graph neural network for modeling central air conditioning systems
Ao Li, Jing Zhang, Fu Xiao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102379-102379
Closed Access | Times Cited: 2
Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method
Georgios Vontzos, Vasileios Laitsos, Avraam Charakopoulos, et al.
Dynamics (2024) Vol. 4, Iss. 2, pp. 337-356
Open Access | Times Cited: 2
Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations
EDUARDO LUIZ ALBA, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro, et al.
Forecasting (2024) Vol. 6, Iss. 3, pp. 839-863
Open Access | Times Cited: 2
Using weather data in energy time series forecasting: the benefit of input data transformations
Oliver Neumann, Marian Turowski, Ralf Mikut, et al.
Energy Informatics (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Towards Sustainable WWTP Operations: Forecasting Energy Consumption with Explainable Disentangled Graph Convolutional Networks
Louis Allen, Joan Cordiner
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 2719-2724
Closed Access | Times Cited: 1
A multi-view graph neural network for building age prediction
Yi Wang, Yizhi Zhang, Quanhua Dong, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 294-311
Closed Access | Times Cited: 1
Knowledge-enhanced data-driven modeling of wastewater treatment processes for energy consumption prediction
Louis Allen, Joan Cordiner
Computers & Chemical Engineering (2024), pp. 108982-108982
Open Access | Times Cited: 1
A performance prediction method for on-site chillers based on dynamic graph convolutional network enhanced by association rules
Qiao Deng, Zhiwen Chen, Wanting Zhu, et al.
Building Simulation (2024) Vol. 17, Iss. 7, pp. 1213-1229
Closed Access | Times Cited: 1

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