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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:

Component-based machine learning for performance prediction in building design
Philipp Geyer, Sundaravelpandian Singaravel
Applied Energy (2018) Vol. 228, pp. 1439-1453
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

A review of the-state-of-the-art in data-driven approaches for building energy prediction
Ying Sun, Fariborz Haghighat, Benjamin C. M. Fung
Energy and Buildings (2020) Vol. 221, pp. 110022-110022
Closed Access | Times Cited: 378
State-of-the-art on research and applications of machine learning in the building life cycle
Tianzhen Hong, Zhe Wang, Xuan Luo, et al.
Energy and Buildings (2020) Vol. 212, pp. 109831-109831
Open Access | Times Cited: 263
Surrogate modelling for sustainable building design – A review
Paul Westermann, Ralph Evins
Energy and Buildings (2019) Vol. 198, pp. 170-186
Closed Access | Times Cited: 223
Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions
Yue Pan, Limao Zhang
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 1081-1110
Closed Access | Times Cited: 182
Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review
Nadia D. Román, Facundo Bre, Vı́ctor D. Fachinotti, et al.
Energy and Buildings (2020) Vol. 217, pp. 109972-109972
Closed Access | Times Cited: 137
BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Yuxuan Shen, Yue Pan
Applied Energy (2023) Vol. 333, pp. 120575-120575
Closed Access | Times Cited: 77
Buildings' energy consumption prediction models based on buildings’ characteristics: Research trends, taxonomy, and performance measures
Amal A. Al-Shargabi, Abdulbasit Almhafdy, Dina M. Ibrahim, et al.
Journal of Building Engineering (2022) Vol. 54, pp. 104577-104577
Closed Access | Times Cited: 76
Building performance simulation in the brave new world of artificial intelligence and digital twins: A systematic review
Pieter de Wilde
Energy and Buildings (2023) Vol. 292, pp. 113171-113171
Open Access | Times Cited: 70
Optimization and prediction of energy consumption, light and thermal comfort in teaching building atriums using NSGA-II and machine learning
Zhengshu Chen, Yanqiu Cui, Haichao Zheng, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108687-108687
Closed Access | Times Cited: 17
Deep reinforcement learning for multi-objective optimization in BIM-based green building design
Yue Pan, Yuxuan Shen, Jianjun Qin, et al.
Automation in Construction (2024) Vol. 166, pp. 105598-105598
Closed Access | Times Cited: 17
Deep learning model for Demolition Waste Prediction in a circular economy
Lukman Akanbi, Ahmed Oyedele, Lukumon O. Oyedele, et al.
Journal of Cleaner Production (2020) Vol. 274, pp. 122843-122843
Closed Access | Times Cited: 135
Data mining in the construction industry: Present status, opportunities, and future trends
Hang Yan, Nan Yang, Yi Peng, et al.
Automation in Construction (2020) Vol. 119, pp. 103331-103331
Closed Access | Times Cited: 121
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Zeyu Wang, Jian Liu, Yuanxin Zhang, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 143, pp. 110929-110929
Closed Access | Times Cited: 91
Applications of machine learning to BIM: A systematic literature review
Asem Zabin, Vicente A. González, Yang Zou, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101474-101474
Closed Access | Times Cited: 80
BIM-based graph data model for automatic generative design of modular buildings
Vincent J.L. Gan
Automation in Construction (2021) Vol. 134, pp. 104062-104062
Closed Access | Times Cited: 74
Predictive models for daylight performance of general floorplans based on CNN and GAN: A proof-of-concept study
Qiushi He, Ziwei Li, Wen Gao, et al.
Building and Environment (2021) Vol. 206, pp. 108346-108346
Closed Access | Times Cited: 68
Design Space Exploration and Explanation via Conditional Variational Autoencoders in Meta-Model-Based Conceptual Design of Pedestrian Bridges
Vera M. Balmer, S. Kühn, Rafael Bischof, et al.
Automation in Construction (2024) Vol. 163, pp. 105411-105411
Open Access | Times Cited: 7
The artificial intelligence reformation of sustainable building design approach: A systematic review on building design optimization methods using surrogate models
Ibrahim Elwy, Aya Hagishima
Energy and Buildings (2024), pp. 114769-114769
Open Access | Times Cited: 7
Using a deep temporal convolutional network as a building energy surrogate model that spans multiple climate zones
Paul Westermann, Matthias Welzel, Ralph Evins
Applied Energy (2020) Vol. 278, pp. 115563-115563
Closed Access | Times Cited: 66
Design optimization of renewable energy systems for NZEBs based on deep residual learning
Maria Ferrara, Francesco Della Santa, Matteo Bilardo, et al.
Renewable Energy (2021) Vol. 176, pp. 590-605
Closed Access | Times Cited: 46
A comprehensive review on digital twins for smart energy management system
Mario Lamagna, Daniele Groppi, Meysam M. Nezhad, et al.
International Journal of Energy Production and Management (2021) Vol. 6, Iss. 4, pp. 323-334
Open Access | Times Cited: 43
Early-stage design support combining machine learning and building information modelling
Manav Mahan Singh, Chirag Deb, Philipp Geyer
Automation in Construction (2022) Vol. 136, pp. 104147-104147
Open Access | Times Cited: 33
Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model
Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7692-7692
Open Access | Times Cited: 32
Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models
Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2749-2749
Open Access | Times Cited: 17
Machine learning in proton exchange membrane water electrolysis — A knowledge-integrated framework
Xia Chen, Alexander Rex, Janis Woelke, et al.
Applied Energy (2024) Vol. 371, pp. 123550-123550
Open Access | Times Cited: 7
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