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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:

Automated machine learning-based framework of heating and cooling load prediction for quick residential building design
Chujie Lu, Sihui Li, Santhan Reddy Penaka, et al.
Energy (2023) Vol. 274, pp. 127334-127334
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
He Dasi, Ying Zhang, MD Faisal Bin Ashab
Energy (2024) Vol. 291, pp. 130297-130297
Closed Access | Times Cited: 19
An improved attention-based deep learning approach for robust cooling load prediction: Public building cases under diverse occupancy schedules
Chujie Lu, Junhua Gu, Weizhuo Lu
Sustainable Cities and Society (2023) Vol. 96, pp. 104679-104679
Open Access | Times Cited: 22
Cooling load prediction of a double-story terrace house using ensemble learning techniques and genetic programming with SHAP approach
Celal Çakıroğlu, Yaren Aydın, Gebrai̇l Bekdaş, et al.
Energy and Buildings (2024) Vol. 313, pp. 114254-114254
Closed Access | Times Cited: 8
Integrated passive design method optimized for carbon emissions, economics, and thermal comfort of zero-carbon buildings
Yiting Kang, Dongjie Zhang, Yu Cui, et al.
Energy (2024) Vol. 295, pp. 131048-131048
Closed Access | Times Cited: 6
Tailored and Impactful Retrofit Guides for Swedish Building Stocks Using Big Data and Explainable Ai
Santhan Reddy Penaka, Kailun Feng, Thomas Olofsson, et al.
(2025)
Closed Access
BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance
Panagiotis Tsikas, A.P. Chassiakos, Vasileios Papadimitropoulos, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 201-201
Open Access
A novel robust heating load prediction algorithm based on hybrid residual network and temporal fusion transformer model
Jiancai Song, Shuo Zhu, Wen Li, et al.
Energy (2025) Vol. 318, pp. 134779-134779
Closed Access
Mid-Long-Term Power Load Forecasting of Building Group Based on Modified NGO
Y.L. Li, Qiang Zhou, Xinhui Zhang, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 668-668
Open Access
Automated data-driven building energy load prediction method based on generative pre-trained transformers (GPT)
Chaobo Zhang, Jian Zhang, Yang Zhao, et al.
Energy (2025), pp. 134824-134824
Closed Access
Sensor Fault Detection, Diagnosis, and Data Reconstruction Strategy for Chiller Based on an Improved Tree-Based Pipeline Optimization Tool Framework
Pinguo Wu, Hu Yunpeng, Guannan Li, et al.
International Journal of Refrigeration (2025)
Closed Access
Study on the application of discrepancy-guided symbolic regression algorithm in analyzing the impact resistance of UHP-SFRC target against high velocity projectile impact
Delei Zou, Dilyar Thoti, Zhenmin Bao
International Journal of Impact Engineering (2025), pp. 105276-105276
Closed Access
Investigate dual chiller characteristics and improve the performance by integrating machine learning and genetic algorithms
Elsa Chaerun Nisa, Yean‐Der Kuan, Chin-Chang Lai
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110472-110472
Closed Access
A Systematic Review of Building Energy Consumption Prediction: From Perspectives of Load Classification, Data-Driven Frameworks, and Future Directions
Guanzhong Chen, Shengze Lu, Shiyu Zhou, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3086-3086
Open Access
End-to-end data-driven modeling framework for automated and trustworthy short-term building energy load forecasting
Chaobo Zhang, Jie Lu, Jiahua Huang, et al.
Building Simulation (2024) Vol. 17, Iss. 8, pp. 1419-1437
Closed Access | Times Cited: 4
Quantifying and predicting air quality on different road types in urban environments using mobile monitoring and automated machine learning
Chunping Miao, Zhong‐Ren Peng, Aiwei Cui, et al.
Atmospheric Pollution Research (2023) Vol. 15, Iss. 3, pp. 102015-102015
Closed Access | Times Cited: 8
A Review of Cooling and Heating Loads Predictions of Residential Buildings Using Data-Driven Techniques
Fayez Abdel-Jaber, Kim N. Dirks
Buildings (2024) Vol. 14, Iss. 3, pp. 752-752
Open Access | Times Cited: 2
Evaluation of heating load energy performance in residential buildings through five nature-inspired optimization algorithms
Guimei Wang, Hossein Moayedi, Quynh T. Thi, et al.
Energy (2024) Vol. 302, pp. 131804-131804
Closed Access | Times Cited: 2
Hybrid forecasting model of building cooling load based on EMD-LSTM-Markov algorithm
Xiaofei Huang, Yangming Han, Junwei Yan, et al.
Energy and Buildings (2024) Vol. 321, pp. 114670-114670
Closed Access | Times Cited: 2
Data-driven methods for flow and transport in porous media: A review
Yang Guang, Ran Xu, Yusong Tian, et al.
International Journal of Heat and Mass Transfer (2024) Vol. 235, pp. 126149-126149
Open Access | Times Cited: 2
Prediction and Optimization of Thermal Loads in Buildings with Different Shapes by Neural Networks and Recent Finite Difference Methods
Ali Habeeb Askar, Endre Kovács, Betti Bolló
Buildings (2023) Vol. 13, Iss. 11, pp. 2862-2862
Open Access | Times Cited: 5
Novel Machine Learning Paradigms-Enabled Methods for Smart Building Operations in Data-Challenging Contexts: Progress and Perspectives
Fan Cheng, Yutian Lei, Jinhan Mo, et al.
National Science Open (2024) Vol. 3, Iss. 3, pp. 20230068-20230068
Open Access | Times Cited: 1
Multi-Objective Plum Tree Algorithm and Machine Learning for Heating and Cooling Load Prediction
Adam Słowik, Dorin Moldovan
Energies (2024) Vol. 17, Iss. 12, pp. 3054-3054
Open Access | Times Cited: 1
Thermal Load Prediction in Residential Buildings Using Interpretable Classification
Fayez Abdel-Jaber, Kim N. Dirks
Buildings (2024) Vol. 14, Iss. 7, pp. 1989-1989
Open Access | Times Cited: 1
Battery state of health estimation using an AutoGluon-tabular model incorporating uncertainty quantification
Xiaoyuan Zhang, Mengnan Liu, Yingying Liu
Journal of Energy Storage (2024) Vol. 101, pp. 113920-113920
Closed Access | Times Cited: 1
An integrated framework utilizing machine learning to accelerate the optimization of energy-efficient urban block forms
Ke Liu, Xiaodong Xu, Ran Zhang, et al.
Building Simulation (2024)
Closed Access | Times Cited: 1
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