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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:

Estimate the daily consumption of natural gas in district heating system based on a hybrid seasonal decomposition and temporal convolutional network model
Jiancai Song, Liyi Zhang, Qingling Jiang, et al.
Applied Energy (2022) Vol. 309, pp. 118444-118444
Closed Access | Times Cited: 22

Showing 22 citing articles:

Which risks drive European natural gas bubbles? Novel evidence from geopolitics and climate
Chi‐Wei Su, Meng Qin, Hsu‐Ling Chang, et al.
Resources Policy (2023) Vol. 81, pp. 103381-103381
Closed Access | Times Cited: 59
Are energy consumption and carbon emission caused by Bitcoin? A novel time-varying technique
Meng Qin, Tong Wu, Xuecheng Ma, et al.
Economic Analysis and Policy (2023) Vol. 80, pp. 109-120
Closed Access | Times Cited: 30
Natural gas consumption forecasting using a novel two-stage model based on improved sparrow search algorithm
Weibiao Qiao, Qianli Ma, Yulou Yang, et al.
Journal of Pipeline Science and Engineering (2024) Vol. 5, Iss. 1, pp. 100220-100220
Open Access | Times Cited: 12
Novel production prediction model of gasoline production processes for energy saving and economic increasing based on AM-GRU integrating the UMAP algorithm
Jintao Liu, Liangchao Chen, Wei Xu, et al.
Energy (2022) Vol. 262, pp. 125536-125536
Closed Access | Times Cited: 28
Prediction of gas drainage changes from nitrogen replacement: A study of a TCN deep learning model with integrated attention mechanism
Haiteng Xue, Xiaohong Gui, Gongda Wang, et al.
Fuel (2023) Vol. 357, pp. 129797-129797
Closed Access | Times Cited: 17
Integrating multi-modal data into transformer model for short-term gas consumption forecasting
XU Xiao-jie, Hui Xu, K.K. Mei, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 655-664
Closed Access
A fusion gas load prediction model with three-way residual error amendment
Yu Fang, Chunhong Jia, Xin Wang, et al.
Energy (2024) Vol. 294, pp. 130880-130880
Closed Access | Times Cited: 4
Left-right brain interaction inspired bionic deep network for forecasting significant wave height
Han Wu, Yan Liang, Xiao‐Zhi Gao
Energy (2023) Vol. 278, pp. 127995-127995
Closed Access | Times Cited: 9
Smart Transition to Climate Management of the Green Energy Transmission Chain
Olena Borysiak, Tomasz Wołowiec, Grzegorz Gliszczyński, et al.
Sustainability (2022) Vol. 14, Iss. 18, pp. 11449-11449
Open Access | Times Cited: 15
Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study
Ning Tian, Bilin Shao, Genqing Bian, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107644-107644
Closed Access | Times Cited: 8
A Novel Multiscale Transformer Network Framework for Natural Gas Consumption Forecasting
Yanyun Pu, Chengyuan Zhu, Kaixiang Yang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10040-10053
Closed Access | Times Cited: 2
Air quality prediction using a novel three-stage model based on time series decomposition
Mingyue Sun, Congjun Rao, Zhuo Hu
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 2
FMM-VMD-Transformer: A hybrid deep learning model for predicting natural gas consumption
Xinlei Li, Xiaofu Zou, Jiangfeng Cheng, et al.
Digital engineering. (2024) Vol. 2, pp. 100005-100005
Open Access | Times Cited: 2
Yield Prediction of Winter Wheat at Different Growth Stages Based on Machine Learning
Zhengfang Lou, Xiaoping Lu, Siyi Li
Agronomy (2024) Vol. 14, Iss. 8, pp. 1834-1834
Open Access | Times Cited: 2
The detection of unaccounted natural gas consumption: A neural networks and subscriber-based solution
Kürşad Arslan, Mustafa Akpınar, M. Fatih Adak
Engineering Science and Technology an International Journal (2024) Vol. 52, pp. 101669-101669
Open Access | Times Cited: 1
Türkiye’nin toplam sağlık harcaması tahmini için trend-artık ayrıştırması temelli bir modelleme yaklaşımı
Rezzan Yardımcı, Eşref Boğar
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024) Vol. 39, Iss. 4, pp. 2539-2550
Open Access | Times Cited: 1
Short-term forecasting of natural gas consumption by determining the statistical distribution of consumption data
Ivan Smajla, Domagoj Vulin, Daria Karasalihović Sedlar
Energy Reports (2023) Vol. 10, pp. 2352-2360
Open Access | Times Cited: 4
Optimization by Hybrid/Combined Artificial Intelligent Models
Wei‐Chiang Hong
Journal of Management Science & Engineering research (2022) Vol. 5, Iss. 1, pp. 27-29
Open Access | Times Cited: 2
CLIMATE POLICY DEVELOPMENT IN THE ENERGY MARKET: PREREQUISITES, CHALLENGES AND ADVANTAGES
Olena Borysiak
Economic Analysis (2022), Iss. 32(2), pp. 22-32
Open Access | Times Cited: 1
INNOVATIVE POTENTIAL OF ENERGY ENTERPRISES AND CRITICAL CLIMATE TECHNOLOGIES WITHIN WAR CONDITIONS
Olena Borysiak
INNOVATIVE ECONOMY (2022), Iss. 2-3, pp. 21-28
Open Access | Times Cited: 1
Novel Production Prediction Model of Gasoline Production Processes for Energy Saving and Economic Increasing Based on Am-Gru Integrating the Umap Algorithm
Jintao Liu, Liangchao Chen, Wei Xu, et al.
SSRN Electronic Journal (2022)
Closed Access
Information Technology for Estimating City Gas Consumption During the Year
Valerii Kozlovskyi, Yuriy Balanyuk, Hanna Martyniuk, et al.
2022 International Conference on Smart Information Systems and Technologies (SIST) (2022), pp. 1-4
Open Access
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