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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 multivariate time series graph neural network for district heat load forecasting
Zhijin Wang, Xiufeng Liu, Yaohui Huang, et al.
Energy (2023) Vol. 278, pp. 127911-127911
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
Lanouar Charfeddine, Esmat Zaidan, Ahmad Qadeib Alban, et al.
Sustainable Cities and Society (2023) Vol. 98, pp. 104860-104860
Open Access | Times Cited: 25
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: 24
Explainable AI models for predicting drop coalescence in microfluidics device
Jin-Wei Hu, Kewei Zhu, Sibo Cheng, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148465-148465
Open Access | Times Cited: 13
Accuracy improvement of the load forecasting in the district heating system by the informer-based framework with the optimal step size selection
Ji Zhang, Yuxin Hu, Yonggong Yuan, et al.
Energy (2024) Vol. 291, pp. 130347-130347
Closed Access | Times Cited: 11
Predicting hourly heating load in residential buildings using a hybrid SSA–CNN–SVM approach
Wenhan An, Bo Gao, Jianhua Liu, et al.
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104516-104516
Open Access | Times Cited: 9
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
Self-learning dynamic graph neural network with self-attention based on historical data and future data for multi-task multivariate residential air conditioning forecasting
Zehuan Hu, Yuan Gao, Luning Sun, et al.
Applied Energy (2024) Vol. 364, pp. 123156-123156
Closed Access | Times Cited: 6
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
Operation optimization for a CHP system using an integrated approach of ANN and simulation database
Yue Cao, Hui Hu, Ranjing Chen, et al.
Applied Thermal Engineering (2025), pp. 125771-125771
Closed Access
Explainable district heating load forecasting by means of a reservoir computing deep learning architecture
Adrià Serra Oliver, Alberto Ortiz, Pau Joan Cortés Forteza, et al.
Energy (2025), pp. 134641-134641
Closed Access
Investigation on the Long Short-term Memory-based Models for Rural Heating Load Prediction in Northeast China
Shengming Dong, Tong Liu, Xiaowei Hu, et al.
Energy (2025), pp. 134751-134751
Closed Access
Development of a sounding temperature sensor with four wires for upper-air temperature measurements
L. Niu J.T. Cui, Jie Yang, Mengqing Tan, et al.
Measurement (2025), pp. 117069-117069
Closed Access
Predicting gas flow rates of wellhead chokes based on a cascade forwards neural network with a historically limited penetrable visibility graph
Youshi Jiang, Junjun Hu, Xiyu Chen, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Cakformer: Transformer Model for Long-Term Heat Load Forecasting Based on Cauto-Correlation and KAN
T.A.N. Quanwei, Guijun Xue, X.I.E. Wenju
Energy (2025), pp. 135460-135460
Closed Access
District heating load patterns and short-term forecasting for buildings and city level
Pengmin Hua, Haichao Wang, Zichan Xie, et al.
Energy (2023) Vol. 289, pp. 129866-129866
Open Access | Times Cited: 14
Day-ahead load forecast based on Conv2D-GRU_SC aimed to adapt to steep changes in load
Yunxiao Chen, Chaojing Lin, Yilan Zhang, et al.
Energy (2024) Vol. 302, pp. 131814-131814
Closed Access | Times Cited: 3
MGMI: A novel deep learning model based on short-term thermal load prediction
T.A.N. Quanwei, Guijun Xue, X.I.E. Wenju
Applied Energy (2024) Vol. 376, pp. 124209-124209
Closed Access | Times Cited: 3
Short-term heating load forecasting model based on SVMD and improved informer
Quanwei Tan, Guijun Xue, Wenju Xie
Energy (2024), pp. 133535-133535
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
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
A novel RBF neural network–based sliding mode controller for a master–slave motor coordinated drive system
Ming Guan, Chenxi Qu, Jiliang Lv, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4907-4921
Closed Access | Times Cited: 2
A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data
Nzamba Bignoumba, Nédra Mellouli, Sadok Ben Yahia
Expert Systems with Applications (2023) Vol. 238, pp. 122148-122148
Closed Access | Times Cited: 5
Research on predicting heat loads based on extracting temporal and spatial features of multiple buildings using data-driven methods
Quanwei Tan, Guijun Xue, Wenju Xie
Journal of Building Performance Simulation (2024) Vol. 17, Iss. 5, pp. 563-584
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
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