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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:

Predicting the energy consumption in buildings using the optimized support vector regression model
Wei Cai, Xiaodong Wen, Chaoen Li, et al.
Energy (2023) Vol. 273, pp. 127188-127188
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Correction of spectral distortions in nanothermometry using machine learning
E. Santos, Wagner F. Silva, Erving Ximendes, et al.
Sensors and Actuators A Physical (2025), pp. 116550-116550
Closed Access
Machine-Learning-Enhanced Building Performance-Guided Form Optimization of High-Rise Office Buildings in China’s Hot Summer and Warm Winter Zone—A Case Study of Guangzhou
Xie Xie, Ni Yang, Tianzi Zhang
Sustainability (2025) Vol. 17, Iss. 9, pp. 4090-4090
Open Access
Multi-Domain Digital Twin and Real-Time Performance Optimization for Marine Steam Turbines
Yuhui Liu, Duansen Shangguan, Liping Chen, et al.
Symmetry (2025) Vol. 17, Iss. 5, pp. 689-689
Open Access
Benchmarking energy efficiency in Europe: An integrated two-stage framework using machine learning and decision-making approaches
Huai-Wei Lo, Muhammet Deveci, Sheng-Wei Lin
Applied Energy (2025) Vol. 392, pp. 126044-126044
Closed Access
A cost-effective and heuristic approach for building energy consumption prediction: BES model calibration and forecasting algorithm
Tae-Kyu Lee, Jeong‐Uk Kim
Energy and Buildings (2023) Vol. 303, pp. 113800-113800
Open Access | Times Cited: 9
A hybrid approach based machine learning models in electricity markets
William Gomez, Fu‐Kwun Wang, Shih‐Che Lo
Energy (2023) Vol. 289, pp. 129988-129988
Closed Access | Times Cited: 9
The Collapse Deformation Control of Granite Residual Soil in Tunnel Surrounding Rock: A Case Study
Zhen Huang, Juncai Huang, Jiabing Zhang, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 5, pp. 2034-2052
Closed Access | Times Cited: 3
Exploring the Comprehensive Integration of Artificial Intelligence in Optimizing HVAC System Operations: A Review and Future Outlook
Shengze Lu, Shiyu Zhou, Yan Ding, et al.
Results in Engineering (2024), pp. 103765-103765
Open Access | Times Cited: 3
Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization
Marian B. Gorzałczany, Filip Rudziński
Energies (2024) Vol. 17, Iss. 13, pp. 3242-3242
Open Access | Times Cited: 2
Performance and PV benefits analysis of multi-source renewable energy systems for different types of buildings on university campus
Tao Li, Xing Wang, Yingying Yu, et al.
Renewable Energy (2024) Vol. 237, pp. 121522-121522
Closed Access | Times Cited: 2
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
Marco Savino Piscitelli, Rocco Giudice, Alfonso Capozzoli
Applied Energy (2023) Vol. 357, pp. 122550-122550
Open Access | Times Cited: 6
Multi-timescale Energy Consumption Management in Smart Buildings Using Hybrid Deep Artificial Neural Networks
Favour Edose Ibude, Abayomi Otebolaku, Jude E. Ameh, et al.
(2024)
Open Access | Times Cited: 2
Performance simulation and energy efficiency analysis of multi-energy complementary HVAC system based on TRNSYS
Xing Wang, Tao Li, Yingying Yu, et al.
Applied Thermal Engineering (2024) Vol. 257, pp. 124378-124378
Closed Access | Times Cited: 2
Contextual operational energy performance indexing of district heating consumers
Henrik Alexander Nissen Søndergaard, Hamid Reza Shaker, Bo Nørregaard Jôrgensen
Energy (2024) Vol. 302, pp. 131766-131766
Open Access | Times Cited: 1
Predicting residential building cooling load with a machine learning random forest approach
Peng Peng
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024)
Closed Access | Times Cited: 1
Ensemble Learning Method for Forecasting HVAC System Demand
Nihad Aghbalou, Abdérafi Charki, Hanae Errousso, et al.
Springer proceedings in energy (2024), pp. 1-9
Closed Access | Times Cited: 1
A novel optimized hybrid machine learning model to enhance the prediction accuracy of hourly building energy consumption
Rajasekar Thota, Nidul Sinha
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 9112-9135
Closed Access | Times Cited: 1
Prediction of building cooling load: an innovative design for GA-SVM and IG-SVM system for the estimation of hourly precision and computational fluctuation range
Ashwini Kumar, Ajay Kumar, Gaydaa AlZohbi, et al.
Advances in Building Energy Research (2024), pp. 1-28
Closed Access | Times Cited: 1
Machine learning-assisted SCAPS device simulation for photovoltaic parameters prediction of CsSnI3 perovskite solar cells
I. Chabri, Mithilesh Said, Ed. El-Allaly, et al.
Materials Today Communications (2024), pp. 110585-110585
Closed Access | Times Cited: 1
Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm
Jingwen Tian, Zimo Chen, Lingling Yuan, et al.
Buildings (2024) Vol. 14, Iss. 12, pp. 3950-3950
Open Access | Times Cited: 1
Machine Learning in Information and Communications Technology: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Information (2024) Vol. 16, Iss. 1, pp. 8-8
Open Access | Times Cited: 1
Henry Hub monthly natural gas price forecasting using CEEMDAN–Bagging–HHO–SVR
Yonghui Duan, Jianhui Zhang, Xiang Wang
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 3
An Online Incremental Learning Framework for HPC Job Power Consumption Prediction
Xuesen Tian, Xiang Li, Jie Zhang, et al.
(2023), pp. 176-183
Closed Access | Times Cited: 2
Joint Forecasting Model for the Hourly Cooling Load and Fluctuation Range of a Large Public Building Based on GA-SVM and IG-SVM
Meng Wang, Junqi Yu, Meng Zhou, et al.
Sustainability (2023) Vol. 15, Iss. 24, pp. 16833-16833
Open Access | Times Cited: 2

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