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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:

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

Showing 23 citing articles:

Leveraging Artificial Intelligence for Enhanced Sustainable Energy Management
Swapandeep Kaur, Raman Kumar, Kanwardeep Singh, et al.
Journal of Sustainability for Energy (2024) Vol. 3, Iss. 1, pp. 1-20
Open Access | Times Cited: 10
Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17
Peak shaving at system level with a large district heating substation using deep learning forecasting models
Ulrich Trabert, Felix Pag, Janybek Orozaliev, et al.
Energy (2024) Vol. 301, pp. 131690-131690
Open Access | Times Cited: 5
Explainable deep learning method for power system stability evaluation with incomplete voltage data based on transfer learning
Jiasheng Yang, Wenjin Chen, Xu Xiao, et al.
Measurement (2025), pp. 116781-116781
Closed Access
Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting
H. Bae, Jong-Seong Park, Jeong In Choi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancing regional heat load forecasting through sophisticated data-driven methodologies integrated with robust adversarial training strategies
Hai Zhu, Xu Cheng, Xiufeng Liu, et al.
Journal of Building Engineering (2025), pp. 112101-112101
Closed Access
Energy Gen-AI Technology Framework: A perspective of energy efficiency and business ethics in operation management
Leonardo Fontoura, Daniel Luiz de Mattos Nascimento, Júlio Vieira Neto, et al.
Technology in Society (2025), pp. 102847-102847
Closed Access
An end-to-end explainability framework for spatio-temporal predictive modeling
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
Machine Learning (2025) Vol. 114, Iss. 4
Open Access
Review of machine learning techniques for energy sharing and biomass waste gasification pathways in integrating solar greenhouses into smart energy systems
Navid Mahdavi, Animesh Dutta, Syeda Humaira Tasnim, et al.
Energy and AI (2025), pp. 100498-100498
Open Access
Multi-energy load forecasting for integrated energy system based on sequence decomposition fusion and factors correlation analysis
Daogang Peng, Yü Liu, Danhao Wang, et al.
Energy (2024) Vol. 308, pp. 132796-132796
Closed Access | Times Cited: 4
Predicting hourly heating load in district heating system based on the hybrid Bi-directional long short-term memory and temporal convolutional network model
Jiancai Song, Wen Li, Shuo Zhu, et al.
Journal of Cleaner Production (2024) Vol. 463, pp. 142769-142769
Closed Access | Times Cited: 3
Enabling fast prediction of district heating networks transients via a physics-guided graph neural network
Taha Boussaid, François Rousset, Vasile-Marian Scuturici, et al.
Applied Energy (2024) Vol. 370, pp. 123634-123634
Closed Access | Times Cited: 2
Self-supervised dynamic stochastic graph network for spatio-temporal wind speed forecasting
Tangjie Wu, Qiang Ling
Energy (2024) Vol. 304, pp. 132056-132056
Closed Access | Times Cited: 2
Sparse dynamic graph learning for district heat load forecasting
Yaohui Huang, Yuan Zhao, Zhijin Wang, et al.
Applied Energy (2024) Vol. 371, pp. 123685-123685
Open Access | Times Cited: 2
Explainable time-varying directional representations for photovoltaic power generation forecasting
Zhijin Wang, Hanjing Liu, Senzhen Wu, et al.
Journal of Cleaner Production (2024) Vol. 468, pp. 143056-143056
Open Access | Times Cited: 2
Predictive modeling for dynamic heat load in frigid railway roadbeds: An energy-efficient approach
Tianfei Hu, Liqi Zhao, Tengfei Wang, et al.
Thermal Science and Engineering Progress (2024) Vol. 56, pp. 103049-103049
Closed Access | Times Cited: 2
Forecasting of Daily Heat Production in a District Heating Plant Using a Neural Network
Adam Maryniak, Marian Banaś, Piotr Michalak, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4369-4369
Open 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
Graph Neural Networks for building and civil infrastructure operation and maintenance enhancement
Sajith Wettewa, Lei Hou, Guomin Zhang
Advanced Engineering Informatics (2024) Vol. 62, pp. 102868-102868
Open Access | Times Cited: 1
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations
Zongbao Zhang, Hao Jiao, Wenmeng Zhao, et al.
2022 4th Asia Energy and Electrical Engineering Symposium (AEEES) (2024), pp. 1180-1185
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
The importance of an accurate numerical model for the simulations of new generation district heating systems
Alice Dénarié, Marcello Aprile, Mario Motta
Journal of Physics Conference Series (2024) Vol. 2893, Iss. 1, pp. 012030-012030
Open Access
A novel correlation feature self-assigned Kolmogorov-Arnold Networks for multi-energy load forecasting in integrated energy systems
Xiangfei Liu, Zhile Yang, Yuanjun Guo, et al.
Energy Conversion and Management (2024) Vol. 325, pp. 119388-119388
Closed Access
Intercity round-trip multi-region demand prediction based on multi-task fusion recurrent graph attention network
Ziyu Dai, Cheng Wang, Die Hu, et al.
Neural Computing and Applications (2024)
Closed Access
CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting
Yue Hu, Senzhen Wu, Chen Yu, et al.
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 1219-1227
Closed Access
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