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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:

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

Showing 16 citing articles:

Machine learning as a surrogate to building performance simulation: Predicting energy consumption under different operational settings
Abdulrahim Ali, Raja Jayaraman, Ahmad Mayyas, et al.
Energy and Buildings (2023) Vol. 286, pp. 112940-112940
Closed Access | Times Cited: 33
Interactive effects of hyperparameter optimization techniques and data characteristics on the performance of machine learning algorithms for building energy metamodeling
Binghui Si, Zhenyu Ni, Jiacheng Xu, et al.
Case Studies in Thermal Engineering (2024) Vol. 55, pp. 104124-104124
Open Access | Times Cited: 10
District-level validation of a shoeboxing simplification algorithm to speed-up Urban Building Energy Modeling simulations
Federico Battini, Giovanni Pernigotto, Andrea Gasparella
Applied Energy (2023) Vol. 349, pp. 121570-121570
Open Access | Times Cited: 19
Reducing fresh fish waste while ensuring availability: Demand forecast using censored data and machine learning
Vera Miguéis, André Pereira, João R. Pereira, et al.
Journal of Cleaner Production (2022) Vol. 359, pp. 131852-131852
Open Access | Times Cited: 25
Exploring the synergy of building massing and façade design through evolutionary optimization
Likai Wang, Han Zhang, Xuehan Liu, et al.
Frontiers of Architectural Research (2022) Vol. 11, Iss. 4, pp. 761-780
Open Access | Times Cited: 17
A shoeboxing algorithm for urban building energy modeling: Validation for stand-alone buildings
Federico Battini, Giovanni Pernigotto, Andrea Gasparella
Sustainable Cities and Society (2022) Vol. 89, pp. 104305-104305
Closed Access | Times Cited: 17
Examining the role of passive design indicators in energy burden reduction: Insights from a machine learning and deep learning approach
Siavash Ghorbany, Ming Hu, Siyuan Yao, et al.
Building and Environment (2023) Vol. 250, pp. 111126-111126
Closed Access | Times Cited: 9
Exploring the Impact of Urban Morphology on Building Energy Consumption and Outdoor Comfort: A Comparative Study in Hot-Humid Climates
Shuyan Zhu, Chenlong Ma, Zhongping Wu, et al.
Buildings (2024) Vol. 14, Iss. 5, pp. 1381-1381
Open Access | Times Cited: 2
Effect of adaptive intelligent sampling and machine-learning emulators in surrogate energy modeling of architectural massing
Abhishek Mehrotra, Hwang Yi
Journal of Building Engineering (2023) Vol. 72, pp. 106614-106614
Closed Access | Times Cited: 6
A Decomposition Method for Energy Prediction Metamodels and Surrogate Models in Early Design Stage of Buildings
İbrahim Agah Taştemir, Erdem KÖYMEN, Enes Yaşa
Lecture notes in civil engineering (2024), pp. 500-511
Closed Access | Times Cited: 1
Machine learning based multi-objective optimisation of energy consumption, thermal comfort and CO2 concentration in energy-efficient naturally ventilated residential dwellings
Divyanshu Sood, Ibrahim Alhindawi, Usman Ali, et al.
Building and Environment (2024) Vol. 267, pp. 112255-112255
Closed Access | Times Cited: 1
Convolutional Neural Network Model to Predict Outdoor Comfort UTCI Microclimate Map
Guodong Zhong
Atmosphere (2022) Vol. 13, Iss. 11, pp. 1860-1860
Open Access | Times Cited: 7
Intelligent detection of office occupancy using hybrid data-mining
Liping Xie, Lili Dai, Taoufik Saidani, et al.
Energy and Buildings (2024) Vol. 322, pp. 114690-114690
Closed Access
A Hybrid Method of Cooling and Heating Consumption Prediction for Six Types of Buildings Based on Machine Learning
Baibing Chi, Yashuai Li, Dawei Zhou
Sustainability (2024) Vol. 16, Iss. 24, pp. 11200-11200
Open Access
A geometry-based decomposition method for energy prediction in early design stages of residential buildings
İbrahim Agah Taştemir, Erdem KÖYMEN, Enes Yaşa
Open House International (2024)
Closed Access
Exploring cross-project building performance prediction: creation and implementation of a zone-based surrogate model for building performance optimization
Artem Verkhovskiy, Abraham Yezioro, Isaac Guedi Capeluto
Building Simulation Conference proceedings (2023) Vol. 18
Open Access
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