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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:

Building energy prediction using artificial neural networks: A literature survey
Chujie Lu, Sihui Li, Zhengjun Lu
Energy and Buildings (2021) Vol. 262, pp. 111718-111718
Closed Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

Review of electric vehicles integration impacts in distribution networks: Placement, charging/discharging strategies, objectives and optimisation models
Sigma Ray, Kumari Kasturi, Samarjit Patnaik, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108672-108672
Closed Access | Times Cited: 63
Automated machine learning-based framework of heating and cooling load prediction for quick residential building design
Chujie Lu, Sihui Li, Santhan Reddy Penaka, et al.
Energy (2023) Vol. 274, pp. 127334-127334
Closed Access | Times Cited: 44
Modeling energy-efficient building loads using machine-learning algorithms for the design phase
Flavian Emmanuel Sapnken, Mohammad M. Hamed, Božidar Soldo, et al.
Energy and Buildings (2023) Vol. 283, pp. 112807-112807
Closed Access | Times Cited: 40
A comparison between grey-box models and neural networks for indoor air temperature prediction in buildings
Jacopo Vivian, Enrico Prataviera, N. Gastaldello, et al.
Journal of Building Engineering (2024) Vol. 84, pp. 108583-108583
Closed Access | Times Cited: 16
Hybrid data-driven and physics-based fast building cooling demand modeling method for large-scale building demand response control
Chenxin Feng, Chaobo Zhang, Jie Lu, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111808-111808
Closed Access | Times Cited: 1
A multivariate time series graph neural network for district heat load forecasting
Zhijin Wang, Xiufeng Liu, Yaohui Huang, et al.
Energy (2023) Vol. 278, pp. 127911-127911
Open Access | Times Cited: 37
Batteries temperature prediction and thermal management using machine learning: An overview
Ahmad Al Miaari, Hafız Muhammad Ali
Energy Reports (2023) Vol. 10, pp. 2277-2305
Open Access | Times Cited: 34
Attention mechanism-based transfer learning model for day-ahead energy demand forecasting of shopping mall buildings
Yue Yuan, Zhihua Chen, Zhe Wang, et al.
Energy (2023) Vol. 270, pp. 126878-126878
Closed Access | Times Cited: 33
Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Lanouar Charfeddine, Esmat Zaidan, Ahmad Qadeib Alban, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104860-104860
Open Access | Times Cited: 25
An improved attention-based deep learning approach for robust cooling load prediction: Public building cases under diverse occupancy schedules
Chujie Lu, Junhua Gu, Weizhuo Lu
Sustainable Cities and Society (2023) Vol. 96, pp. 104679-104679
Open Access | Times Cited: 22
Progress in artificial intelligence-based visual servoing of autonomous unmanned aerial vehicles (UAVs)
Muaz Al Radi, Maryam Nooman AlMallahi, Ameena Saad Al‐Sumaiti, et al.
International Journal of Thermofluids (2024) Vol. 21, pp. 100590-100590
Open Access | Times Cited: 11
A protocol for developing and evaluating neural network-based surrogate models and its application to building energy prediction
Danlin Hou, Ralph Evins
Renewable and Sustainable Energy Reviews (2024) Vol. 193, pp. 114283-114283
Open Access | Times Cited: 10
BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis
Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3295-3295
Open Access | Times Cited: 10
Optimizing building energy performance predictions: A comparative study of artificial intelligence models
Omer A. Alawi, Haslinda Mohamed Kamar, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Building Engineering (2024) Vol. 88, pp. 109247-109247
Closed Access | Times Cited: 8
Challenges and opportunities in European smart buildings energy management: A critical review
José L. Hernández, Ignacio de Miguel, Fredy Vélez, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114472-114472
Open Access | Times Cited: 8
Novel design of recurrent neural network for the dynamical of nonlinear piezoelectric cantilever mass–beam model
Aneela Kausar, Chuan‐Yu Chang, Muhammad Asif Zahoor Raja, et al.
The European Physical Journal Plus (2024) Vol. 139, Iss. 1
Closed Access | Times Cited: 7
Multi-task Learning of the PatchTCN-TST Model for Short-term Multi-load Energy Forecasting Considering Indoor Environments in a Smart Building
Senfeng Cen, Chang Gyoon Lim
IEEE Access (2024) Vol. 12, pp. 19553-19568
Open Access | Times Cited: 7
Hybrid forecasting model of building cooling load based on combined neural network
Zhikun Gao, Siyuan Yang, Junqi Yu, et al.
Energy (2024) Vol. 297, pp. 131317-131317
Closed Access | Times Cited: 7
Future energy insights: Time-series and deep learning models for city load forecasting
Neda Maleki, Oxana Lundström, Arslan Musaddiq, et al.
Applied Energy (2024) Vol. 374, pp. 124067-124067
Open Access | Times Cited: 7
Prediction and optimization of heating and cooling loads for low energy buildings in Morocco: An application of hybrid machine learning methods
N. Abdou, Y. El Mghouchi, Kaoutar Jraida, et al.
Journal of Building Engineering (2022) Vol. 61, pp. 105332-105332
Closed Access | Times Cited: 33
Assessing the impacts of urban morphology factors on the energy performance for building stocks based on a novel automatic generation framework
Meng Wang, Hang Yu, Yikun Yang, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104267-104267
Closed Access | Times Cited: 28
Application of Combined Models Based on Empirical Mode Decomposition, Deep Learning, and Autoregressive Integrated Moving Average Model for Short-Term Heating Load Predictions
Yong Zhou, Lingyu Wang, Qian Jun-hao
Sustainability (2022) Vol. 14, Iss. 12, pp. 7349-7349
Open Access | Times Cited: 27
Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy
Ji‐Won Kim, Young Hoon Kwak, Sun-Hye Mun, et al.
Journal of Building Engineering (2022) Vol. 62, pp. 105361-105361
Closed Access | Times Cited: 27
Machine learning–assisted prediction of heat fluxes through thermally anisotropic building envelopes
Zhenglai Shen, Som Shrestha, Daniel J. Howard, et al.
Building and Environment (2023) Vol. 234, pp. 110157-110157
Open Access | Times Cited: 20
Prediction of Energy Consumption of an Administrative Building using Machine Learning and Statistical Methods
Meryem El Alaoui, Laila Ouazzani Chahidi, Mohammed Rougui, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 5, pp. 1007-1022
Open Access | Times Cited: 20
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