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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:

Scenario Analysis of Natural Gas Consumption in China Based on Wavelet Neural Network Optimized by Particle Swarm Optimization Algorithm
Deyun Wang, Yanling Liu, Zeng Wu, et al.
Energies (2018) Vol. 11, Iss. 4, pp. 825-825
Open Access | Times Cited: 20

Showing 20 citing articles:

Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Ömer Faruk Beyca, Beyzanur Çayır Ervural, Ekrem Tatoğlu, et al.
Energy Economics (2019) Vol. 80, pp. 937-949
Open Access | Times Cited: 139
Multistage decision support framework for sites selection of solar power plants with probabilistic linguistic information
Fei Xiao, Jian‐qiang Wang
Journal of Cleaner Production (2019) Vol. 230, pp. 1396-1409
Closed Access | Times Cited: 43
A Novel Fault Diagnosis Method for Power Transformer Based on Dissolved Gas Analysis Using Hypersphere Multiclass Support Vector Machine and Improved D–S Evidence Theory
Haikun Shang, Junyan Xu, Zitao Zheng, et al.
Energies (2019) Vol. 12, Iss. 20, pp. 4017-4017
Open Access | Times Cited: 33
Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model
Shaobo Lu
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 23
Influence of smart meters on the accuracy of methods for forecasting natural gas consumption
Ivan Smajla, Daria Karasalihović Sedlar, Domagoj Vulin, et al.
Energy Reports (2021) Vol. 7, pp. 8287-8297
Open Access | Times Cited: 20
Predicting the monthly consumption and production of natural gas in the USA by using a new hybrid forecasting model based on two-layer decomposition
Shuai Jiang, Xiu‐Ting Zhao, Ning Li
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 14, pp. 40799-40824
Open Access | Times Cited: 8
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: 7
Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method
Gejirifu De, Wangfeng Gao
Energies (2018) Vol. 11, Iss. 11, pp. 2938-2938
Open Access | Times Cited: 23
Forecasting of Day-Ahead Natural Gas Consumption Demand in Greece Using Adaptive Neuro-Fuzzy Inference System
K. Papageorgiou, Elpiniki I. Papageorgiou, Katarzyna Poczęta, et al.
Energies (2020) Vol. 13, Iss. 9, pp. 2317-2317
Open Access | Times Cited: 16
(AI) in Infrastructure Projects—Gap Study
Mohamed Y. Abdel-Kader, Ahmed M. Ebid, Kennedy C. Onyelowe, et al.
Infrastructures (2022) Vol. 7, Iss. 10, pp. 137-137
Open Access | Times Cited: 10
Mesoporous Mn-Doped Fe Nanoparticle-Modified Reduced Graphene Oxide for Ethyl Violet Elimination: Modeling and Optimization Using Artificial Intelligence
Yu Hou, Jimei Qi, Jiwei Hu, et al.
Processes (2020) Vol. 8, Iss. 4, pp. 488-488
Open Access | Times Cited: 13
CO2 emission from the electricity sector in Iran; calculation, prediction and reduction policies
Hossein Yousefi, Shiva Ansaripour, Aminabbas Golshanfard, et al.
Future Energy (2023) Vol. 3, Iss. 2, pp. 24-30
Open Access | Times Cited: 3
Combining STRIPAT model and gated recurrent unit for forecasting nature gas consumption of China
Yi Xiao, Keying Li, Yi Hu, et al.
Mitigation and Adaptation Strategies for Global Change (2020) Vol. 25, Iss. 7, pp. 1325-1343
Closed Access | Times Cited: 8
A review of the day-ahead natural gas consumption in Denmark: starting point towards forecasting accuracy improvement
Orhan Altuğ Karabiber, George Xydis
International Journal of Coal Science & Technology (2020) Vol. 8, Iss. 1, pp. 1-22
Open Access | Times Cited: 5
Application of Grey System Model to Forecast the Natural Gas Imports in China
Zhuan-Zhuan Shi, Xiaoyi Gou, Bo Zeng
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 3
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: 2
Development of Hybrid Methods for Prediction of Principal Mineral Resources
Maria Qurban, Xiang Zhang, Hafiza Mamona Nazir, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 2
Influence of Population Income on Energy Consumption for Heating and Its CO2 Emissions in Cities
Pedro J. Zarco-Periñán, Irene M. Zarco-Soto, Fco. Javier Zarco-Soto, et al.
Energies (2021) Vol. 14, Iss. 15, pp. 4531-4531
Open Access | Times Cited: 2
Regional collaborative forecast of primary energy consumption in China, Japan and South Korea based on multi-source data combination
Bingchun Liu, Peng Zhang, Wang Qing-shan
(2020)
Open Access | Times Cited: 1
Construction and Simulation of Electricity Theft Detection Model Based on Clustering and Improved Neural Network
Rong-Guo Huang, Shuhong Hu, Tang Di, et al.
2021 IEEE International Conference on Data Science and Computer Application (ICDSCA) (2021), pp. 97-101
Closed Access | Times Cited: 1
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