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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:

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

Showing 26-50 of 223 citing articles:

Identification of typical district configurations: A two-step global sensitivity analysis framework
Arthur Chuat, Cédric Terrier, Jonas Schnidrig, et al.
Energy (2024) Vol. 296, pp. 131116-131116
Open Access | Times Cited: 8
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
MULTI-OBJECTIVE OPTIMIZATION BASED ON SURROGATE MODELS FOR SUSTAINABLE BUILDING DESIGN: A SYSTEMATIC LITERATURE REVIEW
Alexandre Santana Cruz, Lucas Rosse Caldas, Vagner Mendes, et al.
Building and Environment (2024), pp. 112147-112147
Closed 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
A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges
Shaoxiong Li, Liu Le, Changhai Peng
Sustainability (2020) Vol. 12, Iss. 4, pp. 1427-1427
Open Access | Times Cited: 58
A machine-learning-based method for thermal design optimization of residential buildings in highly urbanized areas of Turkey
Sadık Yiğit
Journal of Building Engineering (2021) Vol. 38, pp. 102225-102225
Closed Access | Times Cited: 44
Multi-objective building design optimization considering the effects of long-term climate change
Yukai Zou, Siwei Lou, Dawei Xia, et al.
Journal of Building Engineering (2021) Vol. 44, pp. 102904-102904
Closed Access | Times Cited: 44
A metamodel-based multi-objective optimization method to balance thermal comfort and energy efficiency in a campus gymnasium
Naihua Yue, Lingling Li, Alessandro Morandi, et al.
Energy and Buildings (2021) Vol. 253, pp. 111513-111513
Closed Access | Times Cited: 44
Energy Modelling and Analytics in the Built Environment—A Review of Their Role for Energy Transitions in the Construction Sector
Massimiliano Manfren, Maurizio Sibilla, Lamberto Tronchin
Energies (2021) Vol. 14, Iss. 3, pp. 679-679
Open Access | Times Cited: 43
An optimal surrogate-model-based approach to support comfortable and nearly zero energy buildings design
Badr Chegari, Mohamed Tabaa, Emmanuel Simeu, et al.
Energy (2022) Vol. 248, pp. 123584-123584
Open Access | Times Cited: 35
Challenges and Future Development Paths of Low Carbon Building Design: A Review
Chang Xi, Shi-Jie Cao
Buildings (2022) Vol. 12, Iss. 2, pp. 163-163
Open Access | Times Cited: 33
Metamodel-assisted design optimization in the field of structural engineering: A literature review
Iván Negrin, Moacir Kripka, Víctor Yepes
Structures (2023) Vol. 52, pp. 609-631
Open Access | Times Cited: 21
Towards scalable physically consistent neural networks: An application to data-driven multi-zone thermal building models
Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, et al.
Applied Energy (2023) Vol. 340, pp. 121071-121071
Open Access | Times Cited: 18
Dynamic LCA methodology to support post-occupancy decision-making for carbon budget compliance
Lucas Hajiro Neves Mosquini, Benoît Delinchant, Thomas Jusselme
Energy and Buildings (2024) Vol. 309, pp. 114006-114006
Open Access | Times Cited: 6
Real-time Fusion of Multi-Source Monitoring Data with Geotechnical Numerical Model Results using Data-driven and Physics-informed Sparse Dictionary Learning
Hua-Ming Tian, Yu Wang, Kok‐Kwang Phoon
Canadian Geotechnical Journal (2024) Vol. 61, Iss. 11, pp. 2535-2552
Closed Access | Times Cited: 6
Surrogate models for seismic and pushover response prediction of steel special moment resisting frames
Delbaz Samadian, Imrose B. Muhit, Annalisa Occhipinti, et al.
Engineering Structures (2024) Vol. 314, pp. 118307-118307
Open Access | Times Cited: 6
Climate-responsive urban planning through generative models: Sensitivity analysis of urban planning and design parameters for urban heat island in Singapore's residential settlements
Elif Esra Aydin, Frederick Peter Ortner, Peng Song, et al.
Sustainable Cities and Society (2024) Vol. 114, pp. 105779-105779
Open Access | Times Cited: 6
Surrogate modelling for continuous ergonomic assessment and adaptive configuration of industrial human-centered workplaces
Victor Bittencourt, Daniel Saakes, Sebastian Thiede
Journal of Manufacturing Systems (2025) Vol. 79, pp. 383-397
Open Access
Artificial neural network structure optimisation for accurately prediction of exergy, comfort and life cycle cost performance of a low energy building
Iván García Kerdan, David Morillón Gálvez
Applied Energy (2020) Vol. 280, pp. 115862-115862
Open Access | Times Cited: 49
Building energy optimization using surrogate model and active sampling
Keivan Bamdad, Michael E. Cholette, John Bell
Journal of Building Performance Simulation (2020) Vol. 13, Iss. 6, pp. 760-776
Open Access | Times Cited: 39
Multi-zone optimisation of high-rise buildings using artificial intelligence for sustainable metropolises. Part 1: Background, methodology, setup, and machine learning results
Berk Ekici, Zehra Tuğçe Kazanasmaz, Michela Turrin, et al.
Solar Energy (2021) Vol. 224, pp. 373-389
Open Access | Times Cited: 38
Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
Paul Westermann, Ralph Evins
Energy and AI (2021) Vol. 3, pp. 100039-100039
Open Access | Times Cited: 36
A novel LCSA-Machine learning based optimization model for sustainable building design-A case study of energy storage systems
Hashem Amini Toosi, Monica Lavagna, Fabrizio Leonforte, et al.
Building and Environment (2021) Vol. 209, pp. 108656-108656
Closed Access | Times Cited: 33
A novel method of creating machine learning-based time series meta-models for building energy analysis
Guangchen Li, Wei Tian, Hu Zhang, et al.
Energy and Buildings (2022) Vol. 281, pp. 112752-112752
Closed Access | Times Cited: 22
Utilizing domain knowledge: Robust machine learning for building energy performance prediction with small, inconsistent datasets
Xia Chen, Manav Mahan Singh, Philipp Geyer
Knowledge-Based Systems (2024) Vol. 294, pp. 111774-111774
Open Access | Times Cited: 4

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