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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:

The development trend of China’s natural gas consumption: A forecasting viewpoint based on grey forecasting model
Jun Zhang, Yanping Qin, Huaqiong Duo
Energy Reports (2021) Vol. 7, pp. 4308-4324
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 18
Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model
Xin Ma, Hongfang Lu, Minda Ma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105773-105773
Closed Access | Times Cited: 30
An outlook analysis on China's natural gas consumption forecast by 2035: Applying a seasonal forecasting method
Guangyue Xu, Yaqiang Chen, Mengge Yang, et al.
Energy (2023) Vol. 284, pp. 128602-128602
Closed Access | Times Cited: 23
A novel kernel ridge grey system model with generalized Morlet wavelet and its application in forecasting natural gas production and consumption
Xin Ma, Yanqiao Deng, Minda Ma
Energy (2023) Vol. 287, pp. 129630-129630
Closed Access | Times Cited: 21
A hybrid deep learning framework for predicting daily natural gas consumption
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Energy (2022) Vol. 257, pp. 124689-124689
Closed Access | Times Cited: 25
Multi-period supply and demand balance of large-scale and complex natural gas pipeline network: Economy and environment
Kai Wen, Dan Qiao, Chaofei Nie, et al.
Energy (2022) Vol. 264, pp. 126104-126104
Closed Access | Times Cited: 20
Predicting the production and consumption of natural gas in China by using a new grey forecasting method
Tongfei Lao, Yanrui Sun
Mathematics and Computers in Simulation (2022) Vol. 202, pp. 295-315
Closed Access | Times Cited: 19
Application of a novel time-delay grey model based on mixed-frequency data to forecast the energy consumption in China
Guangxue Wan, Xuemei Li, Kedong Yin, et al.
Energy Reports (2022) Vol. 8, pp. 4776-4786
Open Access | Times Cited: 18
An innovative prediction algorithm based on grey modeling theory and the marine predators algorithm for short-term carbon dioxide emissions in China
Chong Liu, Wen-Ze Wu, Wanli Xie, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109066-109066
Closed Access | Times Cited: 3
Forecast of natural gas consumption in 30 regions of China under dual carbon target
He Zhang, Yuhan Xie, Lifeng Wu
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 46, pp. 56753-56766
Closed Access | Times Cited: 9
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
Innovative grey multivariate prediction model for forecasting Chinese natural gas consumption
Zhiming Hu, Tao Jiang
Alexandria Engineering Journal (2024) Vol. 103, pp. 384-392
Open Access | Times Cited: 2
Modelling the hydrate formation condition in consideration of hydrates structure transformation
Jingbo Gao, Qiang Sun, Zhen Xu, et al.
Chemical Engineering Science (2022) Vol. 251, pp. 117487-117487
Closed Access | Times Cited: 11
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: 6
A novel dynamic parameter discrete grey model and its application
Juhong Ou, Youjun Chen
Energy Reports (2023) Vol. 9, pp. 4941-4950
Open Access | Times Cited: 4
Application of the three-parameter discrete direct grey model to forecast China’s natural gas consumption
Wenhao Zhou, Bo Zeng, You Wu, et al.
Soft Computing (2022) Vol. 27, Iss. 6, pp. 3213-3228
Closed Access | Times Cited: 6
Research on energy-saving design strategies of libraries in severe cold regions: Taking a university in Xinjiang as an example
Zhe Wang, Wanjiang Wang, Yongwang Zhang, et al.
Energy Reports (2021) Vol. 7, pp. 1101-1113
Open Access | Times Cited: 7
Regression and Machine Learning Modeling Comparative Analysis of Morocco’s Fossil Fuel Energy Forecast
Dalal Nasreddin, Yasmine Abdellaoui, Aymane Cheracher, et al.
Lecture notes in networks and systems (2023), pp. 244-256
Closed Access | Times Cited: 2
Multi-Step Ahead Natural Gas Consumption Forecasting Based on a Hybrid Model: Case Studies in The Netherlands and the United Kingdom
Longfeng Zhang, Xin Ma, Hui Zhang, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 7437-7437
Open Access | Times Cited: 3
Value of long-term LNG contracts: A theoretical and empirical study
Xiaoning Xia, Rui Wu, Yan Liu, et al.
Frontiers in Earth Science (2023) Vol. 10
Open Access | Times Cited: 1
Experimental study on the diffusion process of natural gas from buried pipelines to underground confined spaces
Xuemei Wang, Tianlai Hou, Wenxue Gao, et al.
Natural Gas Industry B (2024)
Open Access
Natural gas supply chain network design: An optimization-oriented review
Tong Shi, Xueqing Zou, Jinzhou Li, et al.
(2023)
Open 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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