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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:

Prediction of heating and cooling loads based on light gradient boosting machine algorithms
Jiaxin Guo, Sining Yun, Yao Meng, et al.
Building and Environment (2023) Vol. 236, pp. 110252-110252
Closed Access | Times Cited: 56

Showing 1-25 of 56 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
Co-Pyrolysis of biomass and plastic waste: Process prediction and optimization based on Artificial Intelligence and response optimizer surrogate model
Yousaf Ayub, Jingzheng Ren
Process Safety and Environmental Protection (2024) Vol. 186, pp. 612-624
Closed Access | Times Cited: 15
Predicting stomatal conductance of chili peppers using TPE-optimized LightGBM and SHAP feature analysis based on UAVs’ hyperspectral, thermal infrared imagery, and meteorological data
Haiyang Zhang, Wenwen Li, Guolong Wang, et al.
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 110036-110036
Closed Access | Times Cited: 1
A novel Transformer-based network forecasting method for building cooling loads
Long Li, Xingyu Su, Xianting Bi, et al.
Energy and Buildings (2023) Vol. 296, pp. 113409-113409
Closed Access | Times Cited: 24
Explainable district heat load forecasting with active deep learning
Yaohui Huang, Yuan Zhao, Zhijin Wang, et al.
Applied Energy (2023) Vol. 350, pp. 121753-121753
Open Access | Times Cited: 23
Modeling and optimization method for building energy performance in the design stage
Cong Li, Youming Chen
Journal of Building Engineering (2024) Vol. 87, pp. 109019-109019
Closed Access | Times Cited: 12
A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism
Xiuying Yan, Xingxing Ji, Qinglong Meng, et al.
Energy (2024) Vol. 292, pp. 130388-130388
Closed Access | Times Cited: 10
Ranking building design and operation parameters for residential heating demand forecasting with machine learning
Milagros Álvarez-Sanz, Felicia Agatha Satriya, Jon Terés-Zubiaga, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108817-108817
Open Access | Times Cited: 8
Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction
Syed Danish Ali, Sameen Raut, Joseph Dahlen, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1992-1992
Open Access | Times Cited: 8
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
AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user interface
Metin Katlav, Faruk Ergen, İzzeddin Dönmez
Materials Today Communications (2024) Vol. 40, pp. 109915-109915
Closed Access | Times Cited: 8
A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis
Pobithra Das, Abul Kashem, Jasim Uddin Rahat, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3457-3482
Closed Access | Times Cited: 6
Improving thermodynamic stability of double perovskites with machine learning: The role of cation composition
Y. Zhan, Xiaojie Ren, Shuai Zhao, et al.
Solar Energy (2024) Vol. 279, pp. 112839-112839
Closed Access | Times Cited: 6
Machine learning-based surrogate models for fast impact assessment of a new building on urban local microclimate at design stage
Zeming Zhao, Hangxin Li, Shengwei Wang
Building and Environment (2024), pp. 112142-112142
Closed Access | Times Cited: 5
Consistent African vulture optimization algorithm for electrical energy exchange in commercial buildings
Linfei Yin, Jing Tian, Xiaofang Chen
Energy (2025), pp. 134741-134741
Closed 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
Machine learning-based prediction of thermal comfort: exploring building types, climate, ventilation strategies, and seasonal variations
Ali Berkay Avcı
Building Research & Information (2025), pp. 1-18
Closed Access
Forecasting climate risk and heat stress hazards in arid ecosystems: Machine learning and ensemble models for specific humidity prediction in Dammam, Saudi Arabia
Adel S. Aldosary, Baqer Al-Ramadan, Abdulla – Al Kafy, et al.
Natural Hazards (2025)
Closed Access
Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches
Turki S. Alahmari, Furqan Farooq
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Brittleness index prediction using modified random forest based on particle swarm optimization of Upper Ordovician Wufeng to Lower Silurian Longmaxi shale gas reservoir in the Weiyuan Shale Gas Field, Sichuan Basin, China
Mbula Ngoy Nadege, Shu Jiang, Grant Charles Mwakipunda, et al.
Geoenergy Science and Engineering (2023) Vol. 233, pp. 212518-212518
Closed Access | Times Cited: 13
Exercise and resting periods: Thermal comfort dynamics in gym environments
Ali Berkay Avcı, Görkem Aybars Balcı, Tahsin Başaran
Building Simulation (2024) Vol. 17, Iss. 9, pp. 1557-1578
Open Access | Times Cited: 4
Prediction of Cooling Load of Tropical Buildings with Machine Learning
Gebrai̇l Bekdaş, Yaren Aydın, Ümit Işıkdağ, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9061-9061
Open Access | Times Cited: 11
Adaptive corrected parameters algorithm applied in cooling load prediction based on black-box model: A case study for subway station
Yuanyang Hu, Luwen Qin, Shuhong Li, et al.
Energy and Buildings (2023) Vol. 297, pp. 113429-113429
Open Access | Times Cited: 11
Predicting the Occurrence of Forest Fire in the Central-South Region of China
Quansheng Hai, Xiufeng Han, Battsengel Vandansambuu, et al.
(2024)
Open Access | Times Cited: 3
Short-Term Load Forecasting Method for Industrial Buildings Based on Signal Decomposition and Composite Prediction Model
Wenbo Zhao, Ling Fan
Sustainability (2024) Vol. 16, Iss. 6, pp. 2522-2522
Open Access | Times Cited: 3
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