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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:

A novel improved model for building energy consumption prediction based on model integration
Ran Wang, Shilei Lu, Wei Feng
Applied Energy (2020) Vol. 262, pp. 114561-114561
Open Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

Building energy consumption prediction for residential buildings using deep learning and other machine learning techniques
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Journal of Building Engineering (2021) Vol. 45, pp. 103406-103406
Open Access | Times Cited: 332
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 257
Physical energy and data-driven models in building energy prediction: A review
Yongbao Chen, Mingyue Guo, Zhisen Chen, et al.
Energy Reports (2022) Vol. 8, pp. 2656-2671
Open Access | Times Cited: 192
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Tobi Michael Alabi, Emmanuel Imuetinyan Aghimien, Favour David Agbajor, et al.
Renewable Energy (2022) Vol. 194, pp. 822-849
Closed Access | Times Cited: 126
Modelling heating and cooling energy demand for building stock using a hybrid approach
Xinyi Li, Runming Yao
Energy and Buildings (2021) Vol. 235, pp. 110740-110740
Open Access | Times Cited: 107
Prediction and optimization of heating and cooling loads in a residential building based on multi-layer perceptron neural network and different optimization algorithms
Yuanjin Xu, Fei Li, Armin Asgari
Energy (2021) Vol. 240, pp. 122692-122692
Closed Access | Times Cited: 104
A global comparison of building decarbonization scenarios by 2050 towards 1.5–2 °C targets
Clara Camarasa, Érika Mata, Juan Pablo Jiménez Navarro, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 104
Modeling energy-efficient building loads using machine-learning algorithms for the design phase
Flavian Emmanuel Sapnken, Mohammad M. Hamed, Božidar Soldo, et al.
Energy and Buildings (2023) Vol. 283, pp. 112807-112807
Closed Access | Times Cited: 40
Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach
Behnam Sadaghat, Sadegh Afzal, Ali Javadzade Khiavi
Expert Systems with Applications (2024) Vol. 251, pp. 123934-123934
Closed Access | Times Cited: 17
Efficient real-time cost optimization of a two-layer electric water heater system under model uncertainties
Saida El Bakali, Hamid Ouadi, Saad Gheouany
Energy Conversion and Management (2024) Vol. 304, pp. 118190-118190
Closed Access | Times Cited: 15
An adaptive weighted stacking ensemble framework for photovoltaic power generation forecasting with joint optimization of features and hyperparameters
Sue Zheng, Danyun Li, Yidong Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110075-110075
Closed Access | Times Cited: 1
Long-Term Forecasting of Electrical Loads in Kuwait Using Prophet and Holt–Winters Models
Abdulla I. Almazrouee, Abdullah M. Almeshal, Abdulrahman Almutairi, et al.
Applied Sciences (2020) Vol. 10, Iss. 16, pp. 5627-5627
Open Access | Times Cited: 82
A hybrid data-driven and mechanistic modelling approach for hydrothermal gasification
Jie Li, Manu Suvarna, Lanjia Pan, et al.
Applied Energy (2021) Vol. 304, pp. 117674-117674
Open Access | Times Cited: 71
Building occupancy forecasting: A systematical and critical review
Yuan Jin, Da Yan, Adrian Chong, et al.
Energy and Buildings (2021) Vol. 251, pp. 111345-111345
Closed Access | Times Cited: 68
Machine learning for energy performance prediction at the design stage of buildings
Razak Olu-Ajayi, Hafiz Alaka, Ismail Sulaimon, et al.
Energy Sustainable Development/Energy for sustainable development (2021) Vol. 66, pp. 12-25
Open Access | Times Cited: 67
Comparative analysis on predictability of natural ventilation rate based on machine learning algorithms
Han-Saem Park, Dong Yoon Park
Building and Environment (2021) Vol. 195, pp. 107744-107744
Closed Access | Times Cited: 59
Multi-source transfer learning guided ensemble LSTM for building multi-load forecasting
Chao Peng, Yifan Tao, Zhipeng Chen, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117194-117194
Closed Access | Times Cited: 54
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets
Yuzhen Zhang, Jun Ma, Shunlin Liang, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 234-249
Open Access | Times Cited: 53
State-of-health rapid estimation for lithium-ion battery based on an interpretable stacking ensemble model with short-term voltage profiles
Guanzheng Li, Bin Li, Chao Li, et al.
Energy (2022) Vol. 263, pp. 126064-126064
Closed Access | Times Cited: 44
A new energy consumption prediction method for chillers based on GraphSAGE by combining empirical knowledge and operating data
Zhiwen Chen, Qiao Deng, Hao Ren, et al.
Applied Energy (2022) Vol. 310, pp. 118410-118410
Closed Access | Times Cited: 40
Data augmentation for improving heating load prediction of heating substation based on TimeGAN
Yunfei Zhang, Zhihua Zhou, Junwei Liu, et al.
Energy (2022) Vol. 260, pp. 124919-124919
Closed Access | Times Cited: 39
Development of surrogate models for evaluating energy transfer quality of high-speed railway pantograph-catenary system using physics-based model and machine learning
Guizao Huang, Guangning Wu, Zefeng Yang, et al.
Applied Energy (2023) Vol. 333, pp. 120608-120608
Closed Access | Times Cited: 33
Data-Driven Tools for Building Energy Consumption Prediction: A Review
Razak Olu-Ajayi, Hafiz Alaka, Hakeem A. Owolabi, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2574-2574
Open Access | Times Cited: 33
PSO-Stacking improved ensemble model for campus building energy consumption forecasting based on priority feature selection
Yisheng Cao, Gang Liu, Jianping Sun, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106589-106589
Closed Access | Times Cited: 32
Short-term energy consumption prediction method for educational buildings based on model integration
Wen‐Qiang Cao, Junqi Yu, Mengyao Chao, et al.
Energy (2023) Vol. 283, pp. 128580-128580
Closed Access | Times Cited: 32
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