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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:

Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction
Sundaravelpandian Singaravel, Johan A. K. Suykens, Philipp Geyer
Advanced Engineering Informatics (2018) Vol. 38, pp. 81-90
Open Access | Times Cited: 206

Showing 51-75 of 206 citing articles:

An intelligent HVAC control strategy for supplying comfortable and energy-efficient school environment
Jihyeon Cho, Yeonsook Heo, Jin Woo Moon
Advanced Engineering Informatics (2023) Vol. 55, pp. 101895-101895
Closed Access | Times Cited: 18
Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models
Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2749-2749
Open Access | Times Cited: 17
Balancing Sustainability and Comfort: A Holistic Study of Building Control Strategies That Meet the Global Standards for Efficiency and Thermal Comfort
Amal Azzi, Mohamed Tabaa, Badr Chegari, et al.
Sustainability (2024) Vol. 16, Iss. 5, pp. 2154-2154
Open Access | Times Cited: 5
Advancing Sustainable Energy Management: A Comprehensive Review of Artificial Intelligence Techniques in Building
Ahmed Hanafi, M. Moawed, Osama Abdellatif
Deleted Journal (2024) Vol. 53, Iss. 2, pp. 26-46
Open Access | Times Cited: 5
A review of information technology application in reducing carbon emission: From buildings to tunnels
Shiqi Dou, Hehua Zhu, Shuangdui Wu, et al.
Journal of Cleaner Production (2024) Vol. 452, pp. 142162-142162
Closed Access | Times Cited: 5
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 5
Statistical and machine learning approaches for energy efficient buildings
John A. Paravantis, Sonia Malefaki, Pantelis G. Nikolakopoulos, et al.
Energy and Buildings (2025), pp. 115309-115309
Closed Access
Building Geometries and Carbon Emissions: A Study on Large Space Public Buildings based on Parametric Modelling and Machine Learning
Wang Pan
Journal of Building Engineering (2025) Vol. 102, pp. 111912-111912
Closed Access
Ensemble Machine Learning Models for Estimating Energy Savings from Efficiency Measures in Buildings
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Learning and analytics in intelligent systems (2025), pp. 177-197
Closed Access
A meta-model approach for formal specification and consistent management of multi-LOD building models
Jimmy Abualdenien, André Borrmann
Advanced Engineering Informatics (2019) Vol. 40, pp. 135-153
Open Access | Times Cited: 52
Deep neural network based framework for complex correlations in engineering metrics
Vahid Asghari, Yat Fai Leung, Shu‐Chien Hsu
Advanced Engineering Informatics (2020) Vol. 44, pp. 101058-101058
Closed Access | Times Cited: 48
Uncertainty Analysis of Life Cycle Energy Assessment in Early Stages of Design
Hannes Harter, Manav Mahan Singh, Patricia Schneider-Marin, et al.
Energy and Buildings (2019) Vol. 208, pp. 109635-109635
Open Access | Times Cited: 44
An encoder–decoder LSTM-based EMPC framework applied to a building HVAC system
Matthew J. Ellis, Venkatesh Chinde
Process Safety and Environmental Protection (2020) Vol. 160, pp. 508-520
Open Access | Times Cited: 43
Physics-based, data-driven approach for predicting natural ventilation of residential high-rise buildings
Vincent J.L. Gan, Baoyi Wang, Chun Man Chan, et al.
Building Simulation (2021) Vol. 15, Iss. 1, pp. 129-148
Closed Access | Times Cited: 39
Real-time monitoring of occupancy activities and window opening within buildings using an integrated deep learning-based approach for reducing energy demand
Paige Wenbin Tien, Shuangyu Wei, John Kaiser Calautit, et al.
Applied Energy (2021) Vol. 308, pp. 118336-118336
Open Access | Times Cited: 39
An integrated building energy performance evaluation method: From parametric modeling to GA-NN based energy consumption prediction modeling
Xiang Li, Sha Liu, Lu Zhao, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103571-103571
Open Access | Times Cited: 37
Smart paddy field monitoring system using deep learning and IoT
Prabira Kumar Sethy, Santi Kumari Behera, Nithiyananthan Kannan, et al.
Concurrent Engineering (2021) Vol. 29, Iss. 1, pp. 16-24
Closed Access | Times Cited: 35
Deep learning driven real time topology optimisation based on initial stress learning
Jun Yan, Qi Zhang, Qi Xu, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101472-101472
Open Access | Times Cited: 34
The spatial and temporal mismatch phenomenon in solar space heating applications: status and solutions
Datong Gao, Bin Zhao, Trevor Hocksun Kwan, et al.
Applied Energy (2022) Vol. 321, pp. 119326-119326
Closed Access | Times Cited: 26
Challenges in implementing data-driven approaches for building life cycle energy assessment: A review
V. Venkatraj, Manish Dixit
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112327-112327
Open Access | Times Cited: 25
New indicator for a comprehensive evaluation of building energy performance through spatial and temporal dimensions
Donglin Zhang, Yong Ding, Lingxiao Fan, et al.
Energy and Buildings (2023) Vol. 289, pp. 113058-113058
Closed Access | Times Cited: 14
Deep learning applications for oil palm tree detection and counting
Kuryati Kipli, Salleh Osman, Annie Joseph, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100241-100241
Open Access | Times Cited: 14
A real-time operational carbon emission prediction method for the early design stage of residential units based on a convolutional neural network: A case study in Beijing, China
Shurui Yan, Yixin Zhang, Haode Sun, et al.
Journal of Building Engineering (2023) Vol. 75, pp. 106994-106994
Closed Access | Times Cited: 14
An integrated approach of deep learning convolutional neural network and google earth engine for salt storm monitoring and mapping
Firouz Aghazadeh, Mohammad Ghasemi, Mohammad Kazemi Garajeh, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 3, pp. 101689-101689
Open Access | Times Cited: 13
Intention to Adopt Industry 4.0 by Organizations in Colombia, Ecuador, Mexico, Panama, and Peru
Diego Cordero, Kléber Luna Altamirano, Janice Ordóñez Parra, et al.
IEEE Access (2023) Vol. 11, pp. 8362-8386
Open Access | Times Cited: 12

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