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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:

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: 135

Showing 51-75 of 135 citing articles:

A hybrid-model forecasting framework for reducing the building energy performance gap
Xia Chen, Tong Guo, Martin Kriegel, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101627-101627
Open Access | Times Cited: 17
Advanced Digital Tools for Data-Informed and Performance-Driven Design: A Review of Building Energy Consumption Forecasting Models Based on Machine Learning
Andrea Giuseppe di Stefano, Matteo Francesco Ruta, Gabriele Masera
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 12981-12981
Open Access | Times Cited: 9
Robust simulation optimization for supply chain problem under uncertainty via neural network metamodeling
Seyed Mohammad Ebrahim Sharifnia, Sajjad Amrollahi Biyouki, Rupy Sawhney, et al.
Computers & Industrial Engineering (2021) Vol. 162, pp. 107693-107693
Closed Access | Times Cited: 22
A backpropagation neural network improved by a genetic algorithm for predicting the mean radiant temperature around buildings within the long-term period of the near future
Yuquan Xie, Yasuyuki Ishida, Jialong Hu, et al.
Building Simulation (2021) Vol. 15, Iss. 3, pp. 473-492
Closed Access | Times Cited: 21
Machine learning for early stage building energy prediction: Increment and enrichment
Manav Mahan Singh, Sundaravelpandian Singaravel, Philipp Geyer
Applied Energy (2021) Vol. 304, pp. 117787-117787
Open Access | Times Cited: 21
Coordinated optimal design of school building envelope and energy system
Yizhe Xu, Chengchu Yan, Dong Wang, et al.
Solar Energy (2022) Vol. 244, pp. 19-30
Closed Access | Times Cited: 15
Metamodel to predict annual cooling thermal load for commercial, services and public buildings: A country-level approach to support energy efficiency regulation
Rayner Maurício e Silva Machado, Matheus Soares Geraldi, Mateus Bavaresco, et al.
Energy and Buildings (2023) Vol. 301, pp. 113690-113690
Closed Access | Times Cited: 8
An Artificial Neural Network Approach to Predicting Most Applicable Post-Contract Cost Controlling Techniques in Construction Projects
Temitope Omotayo, Bankole Awuzie, Ayokunle Olubunmi Olanipekun
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5171-5171
Open Access | Times Cited: 23
A Survey on Sustainable Surrogate-Based Optimisation
Laurens Bliek
Sustainability (2022) Vol. 14, Iss. 7, pp. 3867-3867
Open Access | Times Cited: 13
Stakeholder-associated impact factors of building energy performance gap and their intersections: A social network analysis
Xiaoxiao Xu, Oskar Casasayas, Jiayuan Wang, et al.
Journal of Cleaner Production (2022) Vol. 370, pp. 133228-133228
Closed Access | Times Cited: 13
Science mapping the knowledge domain of energy performance research in the AEC industry: A scientometric analysis
Mahshad Azima, Senem Seyıs
Energy (2022) Vol. 264, pp. 125938-125938
Closed Access | Times Cited: 12
Unsteady Heat Flux Measurement and Predictions Using Long Short-Term Memory Networks
Byung Kyu Park, Charn-Jung Kim
Buildings (2023) Vol. 13, Iss. 3, pp. 707-707
Open Access | Times Cited: 7
Building energy performance metamodels for district energy management optimisation platforms
Víctor Sánchez, T. Gómez-Acebo
Energy Conversion and Management X (2023) Vol. 21, pp. 100512-100512
Open Access | Times Cited: 7
Investigating adaptive sampling strategies for optimal building energy performance using artificial neural networks and kriging surrogate models
Salma Lahmar, Mostafa Maalmi, Rachida Idchabani
Journal of Building Engineering (2023) Vol. 82, pp. 108341-108341
Closed Access | Times Cited: 7
Building simulation in adaptive training of machine learning models
Hamed Amini, Kari Alanne, Risto Kosonen
Automation in Construction (2024) Vol. 165, pp. 105564-105564
Open Access | Times Cited: 2
Energy performance prediction of vapor-injection air source heat pumps in residential buildings using a neural network model
Zhichao Wang, Xiaoyu Liu, Hui Shen, et al.
Energy and Buildings (2020) Vol. 228, pp. 110499-110499
Closed Access | Times Cited: 19
Assessing the Effectiveness of Building Information Modeling in Developing Green Buildings from a Lifecycle Perspective
Quan Wen, Zhongfu Li, Yifeng Peng, et al.
Sustainability (2020) Vol. 12, Iss. 23, pp. 9988-9988
Open Access | Times Cited: 18
A hybrid metamodel-based method for quick energy prediction in the early design stage
Shuyan Zhu, Chenlong Ma, Yufeng Zhang, et al.
Journal of Cleaner Production (2021) Vol. 320, pp. 128825-128825
Closed Access | Times Cited: 16
Multiobjective building design optimization using an efficient adaptive Kriging metamodel
Salma Lahmar, Mostafa Maalmi, Rachida Idchabani
SIMULATION (2023)
Closed Access | Times Cited: 6
Convolutional neural network to learn building-shape representations for early-stage energy design
Manav Mahan Singh, Ian F. C. Smith
Energy and AI (2023) Vol. 14, pp. 100293-100293
Open Access | Times Cited: 6
A Novel Optimization Method for Conventional Primary and Secondary School Classrooms in Southern China Considering Energy Demand, Thermal Comfort and Daylighting
Yizhe Xu, Chengchu Yan, Hao Qian, et al.
Sustainability (2021) Vol. 13, Iss. 23, pp. 13119-13119
Open Access | Times Cited: 14
Unsupervised learning of load signatures to estimate energy-related building features using surrogate modelling techniques
Shane Ferreira, Burak Gunay, Araz Ashouri, et al.
Building Simulation (2023) Vol. 16, Iss. 7, pp. 1273-1286
Closed Access | Times Cited: 5
Surrogate modelling of a detailed farm‐level model using deep learning
Linmei Shang, Jifeng Wang, David Schäfer, et al.
Journal of Agricultural Economics (2023) Vol. 75, Iss. 1, pp. 235-260
Open Access | Times Cited: 5
A novel efficient multi-objective optimization algorithm for expensive building simulation models
Riccardo Albertin, Alessandro Prada, Andrea Gasparella
Energy and Buildings (2023) Vol. 297, pp. 113433-113433
Open Access | Times Cited: 5
MEVO: A Metamodel-Based Evolutionary Optimizer for Building Energy Optimization
Rafael Batres, Yasaman Dadras, Farzad Mostafazadeh, et al.
Energies (2023) Vol. 16, Iss. 20, pp. 7026-7026
Open Access | Times Cited: 5

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