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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:

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: 41

Showing 1-25 of 41 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: 67
EnergyPlus as a Computational Engine for Commercial Building Operational Digital Twins
Aqsa Naeem, Chi On Ho, Erik Kolderup, et al.
Energy and Buildings (2025), pp. 115257-115257
Closed Access | Times Cited: 1
Reimagining multi-criterion decision making by data-driven methods based on machine learning: A literature review
Huchang Liao, Yangpeipei He, Xueyao Wu, et al.
Information Fusion (2023) Vol. 100, pp. 101970-101970
Closed Access | Times Cited: 35
Novel Neural Network Optimized by Electrostatic Discharge Algorithm for Modification of Buildings Energy Performance
Arash Mohammadi Fallah, Ehsan Ghafourian, Ladan Shahzamani Sichani, et al.
Sustainability (2023) Vol. 15, Iss. 4, pp. 2884-2884
Open Access | Times Cited: 26
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
BIM Integration with XAI Using LIME and MOO for Automated Green Building Energy Performance Analysis
Abdul Mateen Khan, Muhammad Abubakar Tariq, Sardar Kashif Ur Rehman, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3295-3295
Open Access | Times Cited: 10
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: 10
A Review on Machine/Deep Learning Techniques Applied to Building Energy Simulation, Optimization and Management
Francesca Villano, Gerardo Maria Mauro, Alessia Pedace
Thermo (2024) Vol. 4, Iss. 1, pp. 100-139
Open Access | Times Cited: 7
A literature review on an IoT-based intelligent smart energy management systems for PV power generation
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine
Hybrid Advances (2023) Vol. 5, pp. 100136-100136
Open Access | Times Cited: 18
Artificial Neural Network Applications for Energy Management in Buildings: Current Trends and Future Directions
Panagiotis Michailidis, Iakovos Michailidis, Socratis Gkelios, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 570-570
Open Access | Times Cited: 6
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: 6
Developing a Data-Driven AI Model to Enhance Energy Efficiency in UK Residential Buildings
Hamidreza Seraj, Ali Bahadori‐Jahromi, Shiva Amirkhani
Sustainability (2024) Vol. 16, Iss. 8, pp. 3151-3151
Open Access | Times Cited: 5
Design and deployment of a novel decisive algorithm to enable real-time optimal load scheduling within an intelligent smart energy management system based on IoT
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine
Energy Reports (2024) Vol. 12, pp. 579-592
Open Access | Times Cited: 5
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: 5
Artificial intelligence algorithms and multicriteria decision-making
Hossein Bonakdari, Amir Noori, Khosro Morovati
Elsevier eBooks (2025), pp. 751-783
Closed Access
IoT enabled Intelligent Energy Management System employing advanced forecasting algorithms and load optimization strategies to enhance renewable energy generation
Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine
Unconventional Resources (2024) Vol. 4, pp. 100101-100101
Open Access | Times Cited: 4
ANN-based prediction of cone tip resistance with Tabu-Search optimization for geotechnical engineering applications
Mahmoud Al Khazaleh, Majdi Bisharah
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3037-3054
Closed Access | Times Cited: 11
A Meta-Survey on Intelligent Energy-Efficient Buildings
Md Babul Islam, Antonio Guerrieri, Raffaele Gravina, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 8, pp. 83-83
Open Access | Times Cited: 3
Comprehensive review of AI and ML tools for earthquake damage assessment and retrofitting strategies
P. K. S. Bhadauria
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 3945-3962
Closed Access | Times Cited: 3
A CNN and BiLSTM Fusion Approach Toward Precise Appliance Energy Forecasts
Khush Attarde, Javed Sayyad
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 199-212
Open Access | Times Cited: 2
Energy refurbishment planning of Italian school buildings using data-driven predictive models
Livio Pedone, Filippo Molaioni, Andrea Vallati, et al.
Applied Energy (2023) Vol. 350, pp. 121730-121730
Open Access | Times Cited: 6
Examining the Application of Artificial Neural Networks (ANNs) for Advancing Energy Efficiency in Building: A Comprehensive Reviews

Journal of Sustainability Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 1
Modeling, Implementing and Evaluation a Decision Support System Used for Choosing the Best HVAC System in The Buildings, Case Study in Iraq
Ahmed Shihab Ahmed, Hussein Ali Salah
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 289-289
Open Access | Times Cited: 1
Machine Learning in Urban Building Energy Modeling
Narjes Abbasabadi, Mehdi Ashayeri
(2024), pp. 31-55
Closed Access | Times Cited: 1
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