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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:

Combination of cuckoo search and wavelet neural network for midterm building energy forecast
Zhi Yuan, Weiqing Wang, Haiyun Wang, et al.
Energy (2020) Vol. 202, pp. 117728-117728
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

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: 243
Machine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4832-4832
Open Access | Times Cited: 151
Building energy prediction using artificial neural networks: A literature survey
Chujie Lu, Sihui Li, Zhengjun Lu
Energy and Buildings (2021) Vol. 262, pp. 111718-111718
Closed Access | Times Cited: 143
Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm
Chun Chang, Qiyue Wang, Jiuchun Jiang, et al.
Journal of Energy Storage (2021) Vol. 38, pp. 102570-102570
Closed Access | Times Cited: 125
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
Ning Jin, Fan Yang, Yuchang Mo, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101442-101442
Closed Access | Times Cited: 102
Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie
Sustainability (2023) Vol. 15, Iss. 9, pp. 7087-7087
Open Access | Times Cited: 83
Energy consumption and carbon emissions forecasting for industrial processes: Status, challenges and perspectives
Yusha Hu, Yi Man
Renewable and Sustainable Energy Reviews (2023) Vol. 182, pp. 113405-113405
Closed Access | Times Cited: 80
Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 57
Interpretable deep learning model for building energy consumption prediction based on attention mechanism
Yuan Gao, Yingjun Ruan
Energy and Buildings (2021) Vol. 252, pp. 111379-111379
Closed Access | Times Cited: 80
HSIC Bottleneck Based Distributed Deep Learning Model for Load Forecasting in Smart Grid With a Comprehensive Survey
Md. Akhtaruzzaman, Mohammad Kamrul Hasan, S. Rayhan Kabir, et al.
IEEE Access (2020) Vol. 8, pp. 222977-223008
Open Access | Times Cited: 73
Optimal energy management system for residential buildings considering the time of use price with swarm intelligence algorithms
Srinivas Yelisetti, Vikash Kumar Saini, Rajesh Kumar, et al.
Journal of Building Engineering (2022) Vol. 59, pp. 105062-105062
Closed Access | Times Cited: 49
A multi-step predictive deep reinforcement learning algorithm for HVAC control systems in smart buildings
Xiangfei Liu, Mifeng Ren, Zhile Yang, et al.
Energy (2022) Vol. 259, pp. 124857-124857
Closed Access | Times Cited: 41
Efficient solar power generation forecasting for greenhouses: A hybrid deep learning approach
Divyadharshini Venkateswaran, Yongyun Cho
Alexandria Engineering Journal (2024) Vol. 91, pp. 222-236
Open Access | Times Cited: 12
Data-driven based machine learning models for predicting the deliverability of underground natural gas storage in salt caverns
Aliyuda Ali
Energy (2021) Vol. 229, pp. 120648-120648
Closed Access | Times Cited: 44
Forecasting Renewable Energy Generation with Machine learning and Deep Learning: Current Advances and Future Prospects
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie
(2023)
Open Access | Times Cited: 20
Integrating Time Series Decomposition and Multivariable Approaches for Enhanced Cooling Energy Management
F.W. Yu, Wai Tung Ho, Chak Fung Jeff Wong
Energy (2025), pp. 134740-134740
Closed Access
Application of ensemble empirical mode decomposition with support vector regression and wavelet neural network in electric load forecasting
Guo‐Feng Fan, Wei Hui-zhen, Hsin‐Pou Huang, et al.
Energy Sources Part B Economics Planning and Policy (2025) Vol. 20, Iss. 1
Closed Access
Forecasting China's energy consumption and carbon emission based on multiple decomposition strategy
Cheng Zhou, Xiyang Chen
Energy Strategy Reviews (2023) Vol. 49, pp. 101160-101160
Open Access | Times Cited: 12
A novel short-term electrical load forecasting framework with intelligent feature engineering
Binbin Yu, Jianjing Li, Che Liu, et al.
Applied Energy (2022) Vol. 327, pp. 120089-120089
Closed Access | Times Cited: 18
Multi-objective based demand response strategy optimization considering differential demand on reliability of power system
Hejun Yang, Xinyu Zhang, Yuxiang Chu, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109202-109202
Open Access | Times Cited: 10
Structure modification based PID neural network decoupling control for nonlinear multivariable systems
Luocheng Yang, Jie Ding, Hui Ge
Information Sciences (2024) Vol. 681, pp. 121222-121222
Closed Access | Times Cited: 3
A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks
Qing Yin, Chunmiao Han, Ailin Li, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7805-7805
Open Access | Times Cited: 3
Household Energy Consumption Forecasting based on Adaptive Signal Decomposition Enhanced iTransformer Network
Jian Liu, Fan Yang, Ke Yan, et al.
Energy and Buildings (2024) Vol. 324, pp. 114894-114894
Closed Access | Times Cited: 2
Physics-informed ensemble learning with residual modeling for enhanced building energy prediction
Zhihao Ma, Gang Yi Jiang, Jianli Chen
Energy and Buildings (2024), pp. 114853-114853
Closed Access | Times Cited: 2
A Machine Learning Framework With an Intelligent Algorithm for Predicting the Isentropic Efficiency of a Hydraulic Diaphragm Metering Pump in the Organic Rankine Cycle System
Xu Ping, Baofeng Yao, Kaijun Niu, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 11
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