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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:

An XGBoost-Based predictive control strategy for HVAC systems in providing day-ahead demand response
Huilong Wang, Yongbao Chen, Jing Kang, et al.
Building and Environment (2023) Vol. 238, pp. 110350-110350
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

State of the art review on the HVAC occupant-centric control in different commercial buildings
Guanying Huang, S. Thomas Ng, Dezhi Li, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110445-110445
Closed Access | Times Cited: 26
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
Time-series machine learning for predictive optimisation of a highly efficient evaporative cooling system
Zherui Wang, Cheng Zeng, Zishang Zhu, et al.
Building Services Engineering Research and Technology (2025)
Open Access | Times Cited: 1
A novel study on power consumption of an HVAC system using CatBoost and AdaBoost algorithms combined with the metaheuristic algorithms
Jianxiao Bian, Jiarui Wang, Qian Yece
Energy (2024) Vol. 302, pp. 131841-131841
Closed Access | Times Cited: 8
Deciphering the nonlinear and synergistic role of building energy variables in shaping carbon emissions: A LightGBM- SHAP framework in office buildings
Congyue Zhou, Zhu Wang, Xuanli Wang, et al.
Building and Environment (2024) Vol. 266, pp. 112035-112035
Closed Access | Times Cited: 5
Enhancing Air Conditioning System Efficiency Through Load Prediction and Deep Reinforcement Learning: A Case Study of Ground Source Heat Pumps
Zhitao Wang, Yubin Qiu, Shiyu Zhou, et al.
Energies (2025) Vol. 18, Iss. 1, pp. 199-199
Open Access
A learning-based model predictive control method for unlocking the potential of building energy flexibility
Jie Zhu, Jide Niu, Sicheng Zhan, et al.
Energy and Buildings (2025), pp. 115299-115299
Closed Access
Autoencoder reconstruction residual-Wasserstein distance based in-situ calibration for indoor environment spatial expansion virtual sensors
Hakjong Shin, Seng‐Kyoun Jo, Won-Kyu Choi
Energy and Buildings (2025), pp. 115452-115452
Open Access
Machine Learning Applications in Building Energy Systems: Review and Prospects
D. Li, Zhenzhen Qi, Yiming Zhou, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 648-648
Open Access
Life-cycle prediction and optimization of sequestration performance in CO2 mixture huff-n-puff development for tight hydrocarbon reservoirs
Xinyu Zhuang, Wendong Wang, Yuliang Su, et al.
Applied Energy (2025) Vol. 388, pp. 125618-125618
Closed Access
A TOPSIS-XGBoost evaluation method for train-track-bridge system travelling safety based on probability density evolution theory and machine learning
Zhehua Zhang, Kun Wang, Jianfeng Mao, et al.
Structures (2025) Vol. 74, pp. 108614-108614
Closed Access
Load reduction by a demand response enhanced chilled water distributor for centralized air-conditioning systems in commercial building
Xiuying Yan, Xiaoxue Wu, Xingxing Ji, et al.
Energy and Buildings (2025), pp. 115580-115580
Closed Access
Integrating Experimental Analysis and Machine Learning for Enhancing Energy Efficiency and Indoor Air Quality in Educational Buildings
Seyed Hamed Godasiaei, Obuks Ejohwomu, Hua Zhong, et al.
Building and Environment (2025), pp. 112874-112874
Closed Access
An optimization-oriented modeling approach using input convex neural networks and its application on optimal chiller loading
Shanshuo Xing, Jili Zhang, Song Mu
Building Simulation (2024) Vol. 17, Iss. 4, pp. 639-655
Closed Access | Times Cited: 4
Forecasting personal heat strain under extremely hot environments: Utilizing feature importance in machine learning
Seungwon Seo, Yujin Choi, Choongwan Koo
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108507-108507
Open Access | Times Cited: 4
Machine learning based frost thickness prediction of carbon fiber-reinforced polymer composite fin for potential heat pump application
Saleem Abbas, Chan Woo Park
International Communications in Heat and Mass Transfer (2024) Vol. 153, pp. 107333-107333
Closed Access | Times Cited: 3
Grey-box model-based demand side management for rooftop PV and air conditioning systems in public buildings using PSO algorithm
Yue Sun, Zhiwen Luo, Yu Li, et al.
Energy (2024) Vol. 296, pp. 131052-131052
Closed Access | Times Cited: 3
Incorporating Occupant cooling behaviors into novel thermal comfort models for residential demand response
Weilin Li, Lixiang Cheng, Wenhai Sui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114173-114173
Closed Access | Times Cited: 2
A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices
Junsoo Lee, Seungwon Seo, Soeun Han, et al.
Sustainable Cities and Society (2024), pp. 106085-106085
Closed Access | Times Cited: 2
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: 1
Deciphering the Nonlinear and Synergistic Role of Building Energy Variables in Shaping Carbon Emissions: A Lightgbm-Shap Framework in Office Buildings
Congyue Zhou, Zhu Wang, Xuanli Wang, et al.
(2024)
Closed Access | Times Cited: 1
Evaluating Machine Learning Models for HVAC Demand Response: The Impact of Prediction Accuracy on Model Predictive Control Performance
Huilong Wang, Daran Mai, Qian Li, et al.
Buildings (2024) Vol. 14, Iss. 7, pp. 2212-2212
Open Access | Times Cited: 1
Forecasting operation of a chiller plant facility using data-driven models
Behzad Salimian Rizi, Afshin Faramarzi, Amanda Pertzborn, et al.
International Journal of Refrigeration (2024) Vol. 167, pp. 70-89
Closed Access | Times Cited: 1
Building electricity load forecasting based on spatiotemporal correlation and electricity consumption behavior information
Xianzhou Dong, Yongqiang Luo, Shuo Yuan, et al.
Applied Energy (2024) Vol. 377, pp. 124580-124580
Closed Access | Times Cited: 1
Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins
Cihan Ateş, Dogan Bicat, Radoslav Yankov, et al.
Algorithms (2023) Vol. 16, Iss. 8, pp. 387-387
Open Access | Times Cited: 2
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