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:
Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Energy Reports (2023) Vol. 9, pp. 3643-3660
Open Access | Times Cited: 15
Qingyao Qiao, Akilu Yunusa‐Kaltungo, R. E. Edwards
Energy Reports (2023) Vol. 9, pp. 3643-3660
Open Access | Times Cited: 15
Showing 15 citing articles:
An evolutionary deep learning model based on EWKM, random forest algorithm, SSA and BiLSTM for building energy consumption prediction
Lei Lei, Suola Shao, Lixia Liang
Energy (2023) Vol. 288, pp. 129795-129795
Closed Access | Times Cited: 40
Lei Lei, Suola Shao, Lixia Liang
Energy (2023) Vol. 288, pp. 129795-129795
Closed Access | Times Cited: 40
Comparative performance analysis of Boruta, SHAP, and Borutashap for disease diagnosis: A study with multiple machine learning algorithms
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Network Computation in Neural Systems (2024), pp. 1-38
Closed Access | Times Cited: 16
Chukwuebuka Joseph Ejiyi, Zhen Qin, Chiagoziem C. Ukwuoma, et al.
Network Computation in Neural Systems (2024), pp. 1-38
Closed Access | Times Cited: 16
Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning
Hamidreza Eskandari, Hassan Saadatmand, Muhammad Ramzan, et al.
Applied Energy (2024) Vol. 366, pp. 123314-123314
Open Access | Times Cited: 9
Hamidreza Eskandari, Hassan Saadatmand, Muhammad Ramzan, et al.
Applied Energy (2024) Vol. 366, pp. 123314-123314
Open Access | Times Cited: 9
Smart buildings with legacy equipment: A case study on energy savings and cost reduction through an IoT platform in Ireland and Greece
Aristotelis Ntafalias, Panagiotis Papadopoulos, Alfonso P. Ramallo-González, et al.
Results in Engineering (2024) Vol. 22, pp. 102095-102095
Open Access | Times Cited: 7
Aristotelis Ntafalias, Panagiotis Papadopoulos, Alfonso P. Ramallo-González, et al.
Results in Engineering (2024) Vol. 22, pp. 102095-102095
Open Access | Times Cited: 7
Research on the Development of Crack Diseases at the Jiayuguan Rammed Earth Site in Multivariate Time Series Based on Deep Learning and Transfer Learning
Li Yu, Kai Cui, Xiang Zhang, et al.
Journal on Computing and Cultural Heritage (2025)
Closed Access
Li Yu, Kai Cui, Xiang Zhang, et al.
Journal on Computing and Cultural Heritage (2025)
Closed Access
Predictive digital twin technologies for achieving net zero carbon emissions: a critical review and future research agenda
Faris Elghaish, Sandra Matarneh, M. Reza Hosseini, et al.
Smart and Sustainable Built Environment (2024)
Closed Access | Times Cited: 2
Faris Elghaish, Sandra Matarneh, M. Reza Hosseini, et al.
Smart and Sustainable Built Environment (2024)
Closed Access | Times Cited: 2
An integrated framework for residential layout designs: Combining parametric modeling, neural networks, and multi-objective optimization for outdoor activity space optimization
Z H Hu, Lingqing Zhang, Qiong Shen, et al.
Alexandria Engineering Journal (2023) Vol. 80, pp. 202-216
Open Access | Times Cited: 6
Z H Hu, Lingqing Zhang, Qiong Shen, et al.
Alexandria Engineering Journal (2023) Vol. 80, pp. 202-216
Open Access | Times Cited: 6
Benchmarking Time-Frequency Representations of Phonocardiogram Signals for Classification of Valvular Heart Diseases Using Deep Features and Machine Learning
Edwin M. Chambi, Jefry Cuela, Milagros Zegarra, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 2912-2912
Open Access | Times Cited: 1
Edwin M. Chambi, Jefry Cuela, Milagros Zegarra, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 2912-2912
Open Access | Times Cited: 1
A Robust Multi-Model Framework for Groundwater Level Prediction: The BFSA-MVMD-GRU-RVM Model
Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, et al.
Results in Engineering (2024), pp. 103250-103250
Open Access | Times Cited: 1
Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, et al.
Results in Engineering (2024), pp. 103250-103250
Open Access | Times Cited: 1
Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: data generation, incremental learning, transfer learning, and physics-informed
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box
Mehdi Jamei, Muhammad Hassan, Aitazaz A. Faroouqe, et al.
Results in Engineering (2024), pp. 103297-103297
Open Access
Mehdi Jamei, Muhammad Hassan, Aitazaz A. Faroouqe, et al.
Results in Engineering (2024), pp. 103297-103297
Open Access
Benchmarking Time-Frequency Representations of PCG Signals for Classification Valvular Heart Diseases Using Deep Features and Machine Learning
Edwin M. Chambi, Jefry Cuela, Milagros Zegarra, et al.
(2024)
Open Access
Edwin M. Chambi, Jefry Cuela, Milagros Zegarra, et al.
(2024)
Open Access
Feature Selection for Industrial Flotation Process Performance Monitoring Based on Multi-Swarm PSO
Yongjia Yu, Shiwen Xie, Yongfang Xie
2021 China Automation Congress (CAC) (2023), pp. 6376-6381
Closed Access | Times Cited: 1
Yongjia Yu, Shiwen Xie, Yongfang Xie
2021 China Automation Congress (CAC) (2023), pp. 6376-6381
Closed Access | Times Cited: 1
Machine Learning Based Building Energy Monitoring: Development of a Systematic Method Applied to an Italian Healthcare Facility
Marco Zini, Lapo Cheli, Carlo Carcasci
(2023)
Closed Access
Marco Zini, Lapo Cheli, Carlo Carcasci
(2023)
Closed Access
Machine Learning Methods to Increase the Energy Efficiency of Buildings
Oleksandr Vyshnevskyy, Л. М. Журавчак
Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì (2023) Vol. 14, pp. 189-209
Closed Access
Oleksandr Vyshnevskyy, Л. М. Журавчак
Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì (2023) Vol. 14, pp. 189-209
Closed Access
