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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:

Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model
Rajasekhar Chaganti, Furqan Rustam, Talal Daghriri, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7692-7692
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Roles of Artificial Intelligence and Machine Learning in Enhancing Construction Processes and Sustainable Communities
Kayode O. Kazeem, Timothy O. Olawumi, Temidayo Oluwasola Osunsanmi
Buildings (2023) Vol. 13, Iss. 8, pp. 2061-2061
Open Access | Times Cited: 23
Relationship between feature importance and building characteristics for heating load predictions
Alexander Neubauer, Stefan Brandt, Martin Kriegel
Applied Energy (2024) Vol. 359, pp. 122668-122668
Open Access | Times Cited: 12
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
Challenges and opportunities in European smart buildings energy management: A critical review
José L. Hernández, Ignacio de Miguel, Fredy Vélez, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 199, pp. 114472-114472
Open Access | Times Cited: 8
AI-Driven Innovations in Building Energy Management Systems: A Review of Potential Applications and Energy Savings
Dalia Mohammed Talat Ebrahim Ali, Violeta Motuzienė, Rasa Džiugaitė-Tumėnienė
Energies (2024) Vol. 17, Iss. 17, pp. 4277-4277
Open Access | Times Cited: 7
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
AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review
Piragash Manmatharasan, Girma Bitsuamlak, Katarina Grolinger
Energy and Buildings (2025), pp. 115440-115440
Open Access
Evaluating the Performance of Machine Learning Models for Energy Load Prediction in Residential HVAC Systems
Paul Boadu Asamoah, Ekundayo Shittu
Energy and Buildings (2025), pp. 115517-115517
Closed Access
Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model
Babatunde Abiodun Salami, Sani I. Abba, Adeshina Adewale Adewumi, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02676-e02676
Open Access | Times Cited: 13
Modeling the Efficiency of Resource Consumption Management in Construction Under Sustainability Policy: Enriching the DSEM-ARIMA Model
Pruethsan Sutthichaimethee, Grzegorz Mentel, Volodymyr Voloshyn, et al.
Sustainability (2024) Vol. 16, Iss. 24, pp. 10945-10945
Open Access | Times Cited: 4
Enhancing residential heating load prediction with advanced machine learning and optimization techniques
Milad Mohebbi, Sadegh Afzal
Journal of Building Engineering (2024) Vol. 95, pp. 110199-110199
Closed Access | Times Cited: 3
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
Effect of adaptive intelligent sampling and machine-learning emulators in surrogate energy modeling of architectural massing
Abhishek Mehrotra, Hwang Yi
Journal of Building Engineering (2023) Vol. 72, pp. 106614-106614
Closed Access | Times Cited: 6
Heating load prediction in buildings using decision tree machine learning method
Huiming Yan, Zilin Yan, Weiling Wang, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-13
Closed Access | Times Cited: 1
A Building Heat Load Prediction Method Driven by a Multi-Component Fusion LSTM Ridge Regression Ensemble Model
Yu Zhang, Guangshu Chen
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3810-3810
Open Access | Times Cited: 1
Optimizing energy efficiency: predicting heating load with a machine learning approach and meta-heuristic algorithms
Yuan Feng
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3993-4009
Closed 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
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
AI-based KNN Approaches for Predicting Cooling Loads in Residential Buildings
Zhaofang Du
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Reliable Hybridization Approach for Estimation of The Heating Load of Residential Buildings
Huanhuan Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Enhancing Building Energy Efficiency: A Hybrid Meta-Heuristic Approach for Cooling Load Prediction
Chenguang Wang, Yan-Jie Zhou, Libin Deng, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Enhancing energy efficiency in HVAC systems through precise heating load forecasting and advanced optimization algorithms
Min Zheng
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5631-5649
Closed Access
Accurate cooling load estimation using multi-layer perceptron machine learning models
Jianxin Yang
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 7711-7727
Closed Access
Using fuzzy system as AI tool to minimize thermal bridges in design of external walls
Marta Pomada, Krzysztof Cpałka, P. Lacki, et al.
Research Square (Research Square) (2024)
Closed Access
Exploring Heat Demand Forecasting in District Heating Networks Using Random Parameter Linear Regression Model
Hesham Ali, Andrei Dedov, Anna Volkova
Environmental and Climate Technologies (2024) Vol. 28, Iss. 1, pp. 670-685
Open Access
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