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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:

An efficient metamodel-based method to carry out multi-objective building performance optimizations
Facundo Bre, Nadia D. Román, Vı́ctor D. Fachinotti
Energy and Buildings (2019) Vol. 206, pp. 109576-109576
Closed Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms
Badr Chegari, Mohamed Tabaa, Emmanuel Simeu, et al.
Energy and Buildings (2021) Vol. 239, pp. 110839-110839
Open Access | Times Cited: 146
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
A review of surrogate-assisted evolutionary algorithms for expensive optimization problems
Chunlin He, Zhang Yon, Dunwei Gong, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119495-119495
Closed Access | Times Cited: 99
Accelerated environmental performance-driven urban design with generative adversarial network
Chenyu Huang, Gengjia Zhang, Jiawei Yao, et al.
Building and Environment (2022) Vol. 224, pp. 109575-109575
Closed Access | Times Cited: 80
An RF and LSSVM–NSGA-II method for the multi-objective optimization of high-performance concrete durability
Hongyu Chen, Tingting Deng, Ting Du, et al.
Cement and Concrete Composites (2022) Vol. 129, pp. 104446-104446
Closed Access | Times Cited: 75
Multi-objective optimization of residential building energy consumption, daylighting, and thermal comfort based on BO-XGBoost-NSGA-II
Chengjin Wu, Haize Pan, Zhenhua Luo, et al.
Building and Environment (2024) Vol. 254, pp. 111386-111386
Closed Access | Times Cited: 38
Optimization of energy-saving renovation technology for existing buildings in a hot summer and cold winter area
Haie Huo, Xiaoxue Deng, Yanhuan Wei, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108597-108597
Closed Access | Times Cited: 17
Multi-objective optimization of building energy performance using a particle swarm optimizer with less control parameters
Zhang Yon, Yuan Li-juan, Qian Zhang, et al.
Journal of Building Engineering (2020) Vol. 32, pp. 101505-101505
Closed Access | Times Cited: 91
Multi-objective optimization of energy efficiency and thermal comfort in an existing office building using NSGA-II with fitness approximation: A case study
Mohammadamin Ghaderian, Farzad Veysi
Journal of Building Engineering (2021) Vol. 41, pp. 102440-102440
Closed Access | Times Cited: 75
A multi-objective optimization design method for gymnasium facade shading ratio integrating energy load and daylight comfort
Zhaoxiang Fan, Mengxuan Liu, Shuoning Tang
Building and Environment (2021) Vol. 207, pp. 108527-108527
Closed Access | Times Cited: 58
Data-driven performance analysis of a residential building applying artificial neural network (ANN) and multi-objective genetic algorithm (GA)
Seyed Mohammad Ebrahimi Saryazdi, Alireza Etemad, Ali Shafaat, et al.
Building and Environment (2022) Vol. 225, pp. 109633-109633
Open Access | Times Cited: 58
Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change
Hainan Yan, Guohua Ji, Ke Yan
Building and Environment (2022) Vol. 226, pp. 109735-109735
Closed Access | Times Cited: 40
Optimization of high-performance concrete mix ratio design using machine learning
Bin Chen, Lei Wang, Zongbao Feng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106047-106047
Closed Access | Times Cited: 33
Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures
Facundo Bre, Roberto Lamberts, Silvana Flores Larsen, et al.
Applied Energy (2023) Vol. 336, pp. 120806-120806
Closed Access | Times Cited: 22
Overheating analysis of optimized nearly Zero-Energy dwelling during current and future heatwaves coincided with cooling system outage
Ramin Rahif, Mostafa Kazemi, Shady Attia
Energy and Buildings (2023) Vol. 287, pp. 112998-112998
Open Access | Times Cited: 22
Multi-objective optimization designs of phase change material-enhanced building using the integration of the Stacking model and NSGA-III algorithm
Haibin Yang, Ziqing Xu, Yuan Shi, et al.
Journal of Energy Storage (2023) Vol. 68, pp. 107807-107807
Open Access | Times Cited: 22
Multi-Objective optimization of energy consumption pattern in order to provide thermal comfort and reduce costs in a residential building
Reza Alimohamadi, Mohammad Hossein Jahangir
Energy Conversion and Management (2024) Vol. 305, pp. 118214-118214
Closed Access | Times Cited: 12
Machine Learning for Smart and Energy-Efficient Buildings
H. Das, Yu‐Wen Lin, Utkarsha Agwan, et al.
Environmental Data Science (2024) Vol. 3
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
Optimizing the View Percentage, Daylight Autonomy, Sunlight Exposure, and Energy Use: Data-Driven-Based Approach for Maximum Space Utilization in Residential Building Stock in Hot Climates
Tarek M. Kamel, Amany Khalil, Mohammed M. Lakousha, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 684-684
Open Access | Times Cited: 8
Use of passive cooling techniques and super cool materials to minimize cooling energy and improve thermal comfort in Brazilian schools
Camila Machado de Azevedo Correia, Cláudia Naves David Amorim, M. Santamouris
Energy and Buildings (2024) Vol. 312, pp. 114125-114125
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
A metamodel for building information modeling-building energy modeling integration in early design stage
Matheus Körbes Bracht, Ana Paula Melo, Roberto Lamberts
Automation in Construction (2020) Vol. 121, pp. 103422-103422
Closed Access | Times Cited: 54
Multi-Objective Optimization Models to Design a Responsive Built Environment: A Synthetic Review
Mattia Manni, Andrea Nicolini
Energies (2022) Vol. 15, Iss. 2, pp. 486-486
Open Access | Times Cited: 36
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