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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:

Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network
Jun Wang, Junxing Cao, Shan Yuan, et al.
Energy (2021) Vol. 233, pp. 121082-121082
Closed Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Price forecasting through neural networks for crude oil, heating oil, and natural gas
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 114
Oil price forecasting: A hybrid GRU neural network based on decomposition–reconstruction methods
Shiqi Zhang, Jing Luo, Shuyuan Wang, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119617-119617
Closed Access | Times Cited: 88
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction
Chu Zhang, Chunlei Ji, Lei Hua, et al.
Renewable Energy (2022) Vol. 197, pp. 668-682
Closed Access | Times Cited: 67
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 40
Price forecasts of ten steel products using Gaussian process regressions
Xiaojie Xu, Yun Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106870-106870
Closed Access | Times Cited: 39
Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 39
Thermal coal futures trading volume predictions through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 22
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15
A prediction approach with mode decomposition-recombination technique for short-term load forecasting
Weimin Yue, Qingrong Liu, Yingjun Ruan, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104034-104034
Closed Access | Times Cited: 44
Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
Xiaojie Xu, Yun Zhang
Mineral Economics (2022) Vol. 36, Iss. 4, pp. 563-582
Closed Access | Times Cited: 39
Tourism demand forecasting with spatiotemporal features
Cheng Li, Weimin Zheng, Peng Ge
Annals of Tourism Research (2022) Vol. 94, pp. 103384-103384
Closed Access | Times Cited: 38
Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level
Xiaojie Xu, Yun Zhang
Ironmaking & Steelmaking Processes Products and Applications (2023) Vol. 50, Iss. 11, pp. 1683-1697
Closed Access | Times Cited: 30
A hybrid short-term wind power point-interval prediction model based on combination of improved preprocessing methods and entropy weighted GRU quantile regression network
Tianhong Liu, Shengli Qi, Xianzhu Qiao, et al.
Energy (2023) Vol. 288, pp. 129904-129904
Closed Access | Times Cited: 24
A multiscale and multivariable differentiated learning for carbon price forecasting
Linfei Chen, Zhao Xuefeng
Energy Economics (2024) Vol. 131, pp. 107353-107353
Closed Access | Times Cited: 13
LNG freight rate and LNG price, carbon price, geopolitical risk: A dynamic connectedness analysis
Yanhui Chen, Xiaoyu Zhou, Shun Chen, et al.
Energy (2024) Vol. 302, pp. 131517-131517
Closed Access | Times Cited: 7
Forecasting Natural Gas Spot Prices with Machine Learning
Dimitrios Mouchtaris, Emmanouil Sofianos, Periklis Gogas, et al.
Energies (2021) Vol. 14, Iss. 18, pp. 5782-5782
Open Access | Times Cited: 40
Hydrological time series forecasting via signal decomposition and twin support vector machine using cooperation search algorithm for parameter identification
Zhong-kai Feng, Wen-jing Niu, Xinyu Wan, et al.
Journal of Hydrology (2022) Vol. 612, pp. 128213-128213
Closed Access | Times Cited: 29
A Solar Irradiance Forecasting Framework Based on the CEE-WGAN-LSTM Model
Qianqian Li, Dongping Zhang, Ke Yan
Sensors (2023) Vol. 23, Iss. 5, pp. 2799-2799
Open Access | Times Cited: 17
A hybrid carbon price prediction model based-combinational estimation strategies of quantile regression and long short-term memory
Nijun Jiang, Xiaobing Yu, Manawwer Alam
Journal of Cleaner Production (2023) Vol. 429, pp. 139508-139508
Closed Access | Times Cited: 17
Research on Deformation Prediction of VMD-GRU Deep Foundation Pit Based on PSO Optimization Parameters
Ronggui Liu, Qing Zhang, Feifei Jiang, et al.
Materials (2024) Vol. 17, Iss. 10, pp. 2198-2198
Open Access | Times Cited: 5
Forecasting China’s Short-Term Energy Futures Price Using a Novel Secondary Decomposition-Optimized System
Zhe Jiang, Zili Zhang, Lin Zhang
Computational Economics (2025)
Open Access
Integrated Runoff Forecasting Model with Mode Decomposition and Metaheuristic-optimized Bidirectional Gated Recurrent Unit
Zhong-kai Feng, Wen-jie Liu, Zhengyang Tang, et al.
Water Resources Management (2025)
Closed Access
Cumulative Major Advances in Particle Swarm Optimization from 2018 to the Present: Variants, Analysis and Applications
Donglin Zhu, R R Li, Yangyang Zheng, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Scrap steel price predictions for southwest China via machine learning
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2025) Vol. 12
Closed Access
A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases
Rabin K. Jana, Indranil Ghosh
Annals of Operations Research (2022)
Open Access | Times Cited: 25
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