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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 machine learning-based surrogate model to approximate optimal building retrofit solutions
Emmanouil Thrampoulidis, Georgios Mavromatidis, Aurélien Lucchi, et al.
Applied Energy (2020) Vol. 281, pp. 116024-116024
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review
Tehseen Mazhar, Hafiz Muhammad Irfan, Inayatul Haq, et al.
Electronics (2023) Vol. 12, Iss. 1, pp. 242-242
Open Access | Times Cited: 92
The Role of Machine Learning and the Internet of Things in Smart Buildings for Energy Efficiency
Syed Bilal Shah, Muhammad Iqbal, Zeeshan Aziz, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7882-7882
Open Access | Times Cited: 70
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
Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric graphene-enhanced composites
Bokai Liu, Weizhuo Lu, Thomas Olofsson, et al.
Composite Structures (2023) Vol. 327, pp. 117601-117601
Closed Access | Times Cited: 43
Advancement in power-to-methanol integration with steel industry waste gas utilization through solid oxide electrolyzer cells: Surrogate model-based approach for optimization
Ahmad Syauqi, Vijay Mohan Nagulapati, Yus Donald Chaniago, et al.
Sustainable Energy Technologies and Assessments (2025) Vol. 73, pp. 104160-104160
Closed Access | Times Cited: 1
Hybrid data-driven and physics-based fast building cooling demand modeling method for large-scale building demand response control
Chenxin Feng, Chaobo Zhang, Jie Lu, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111808-111808
Closed Access | Times Cited: 1
Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework
Haonan Zhang, Haibo Feng, Kasun Hewage, et al.
Buildings (2022) Vol. 12, Iss. 6, pp. 829-829
Open Access | Times Cited: 45
A dynamic intelligent building retrofit decision-making model in response to climate change
Dingyuan Ma, Xiaodong Li, Borong Lin, et al.
Energy and Buildings (2023) Vol. 284, pp. 112832-112832
Closed Access | Times Cited: 31
Energy retrofitting of hospital buildings considering climate change: An approach integrating automated machine learning with NSGA-III for multi-objective optimization
Yuan Shi, Panfeng Chen
Energy and Buildings (2024) Vol. 319, pp. 114571-114571
Closed Access | Times Cited: 12
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
A U-net convolutional neural network deep learning model application for identification of energy loss in infrared thermographic images
David Gertsvolf, Miljana Horvat, Danesh Aslam, et al.
Applied Energy (2024) Vol. 360, pp. 122696-122696
Open Access | Times Cited: 8
A review of mixed-integer linear formulations for framework-based energy system models
Maximilian Hoffmann, Bruno U. Schyska, Julian Bartels, et al.
Advances in Applied Energy (2024), pp. 100190-100190
Open Access | Times Cited: 7
Comparison of Factorial and Latin Hypercube Sampling Designs for Meta-Models of Building Heating and Cooling Loads
Younhee Choi, Doosam Song, Sungmin Yoon, et al.
Energies (2021) Vol. 14, Iss. 2, pp. 512-512
Open Access | Times Cited: 39
Multi-objective optimization of thermochromic glazing properties to enhance building energy performance
Gonçalo Araújo, Henriqueta Teixeira, M. Glória Gomes, et al.
Solar Energy (2022) Vol. 249, pp. 446-456
Open Access | Times Cited: 23
Machine Learning Theory in Building Energy Modeling and Optimization: A Bibliometric Analysis
Amir Ghoshchi, Rahim Zahedi, Zahra Kazem Pour, et al.
Journal of Modern Green Energy (2022)
Open Access | Times Cited: 22
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
Approximating optimal building retrofit solutions for large-scale retrofit analysis
Emmanouil Thrampoulidis, Gabriela Hug, Kristina Orehounig
Applied Energy (2023) Vol. 333, pp. 120566-120566
Open Access | Times Cited: 13
Sustainable design and control of a multi-sourced radiant heating system: Non-linear optimization under thermal comfort constraints
Mohamed H. Anwer, Muhammed A. Hassan, Mahmoud A. Kassem, et al.
Energy Conversion and Management (2025) Vol. 326, pp. 119458-119458
Open Access
Reducing Emissions Using Artificial Intelligence in the Energy Sector: A Scoping Review
Janne Alatalo, Eppu Heilimo, Mika Rantonen, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 999-999
Open Access
Stochastic Multiscale Modeling for Thermal Conductivity in Polymeric Graphene-Enhanced Composites: A Study in Interpretable Machine Learning
Bokai Liu, Pengju Liu, Weizhuo Lu, et al.
Mechanisms and machine science (2025), pp. 208-219
Closed Access
Machine learning algorithms for supporting life cycle assessment studies: An analytical review
Bijay Neupane, Farouk Belkadi, Marco Formentini, et al.
Sustainable Production and Consumption (2025)
Open Access
A hybrid Gaussian process-integrated deep learning model for retrofitted building energy optimization in smart city ecosystems
Behnam Mohseni-Gharyehsafa, Shahid Hussain, Amy Fahy, et al.
Applied Energy (2025) Vol. 388, pp. 125643-125643
Open Access
Multi-objective hyperparameter optimization of artificial neural network in emulating building energy simulation
Mahdi Ibrahim, Fatima Harkouss, Pascal Henry Biwolé, et al.
Energy and Buildings (2025), pp. 115643-115643
Open Access
Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany
Simon Wenninger, Christian Wiethe
Business & Information Systems Engineering (2021) Vol. 63, Iss. 3, pp. 223-242
Open Access | Times Cited: 31
Robust smart schemes for modeling carbon dioxide uptake in metal − organic frameworks
Menad Nait Amar, Hocine Ouaer, Mohammed Abdelfetah Ghriga
Fuel (2021) Vol. 311, pp. 122545-122545
Closed Access | Times Cited: 31
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