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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:

An improved wavelet–ARIMA approach for forecasting metal prices
Thomas Kriechbaumer, Andrew Angus, David Parsons, et al.
Resources Policy (2013) Vol. 39, pp. 32-41
Open Access | Times Cited: 161

Showing 1-25 of 161 citing articles:

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network
Yishun Liu, Chunhua Yang, Keke Huang, et al.
Knowledge-Based Systems (2019) Vol. 188, pp. 105006-105006
Closed Access | Times Cited: 216
Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework
John Quilty, Jan Adamowski
Journal of Hydrology (2018) Vol. 563, pp. 336-353
Closed Access | Times Cited: 213
Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm
Zakaria Alameer, Mohamed Abd Elaziz, Ahmed A. Ewees, et al.
Resources Policy (2019) Vol. 61, pp. 250-260
Closed Access | Times Cited: 159
A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting
Ana Lazcano, Pedro Javier Herrera, Manuel Monge
Mathematics (2023) Vol. 11, Iss. 1, pp. 224-224
Open Access | Times Cited: 65
A hybrid seasonal autoregressive integrated moving average and quantile regression for daily food sales forecasting
Nari Sivanandam Arunraj, Diane Ahrens
International Journal of Production Economics (2015) Vol. 170, pp. 321-335
Closed Access | Times Cited: 173
Forecasting the COMEX copper spot price by means of neural networks and ARIMA models
Fernando Sánchez Lasheras, Francisco Javier de Cos Juez, Ana Suárez Sánchez, et al.
Resources Policy (2015) Vol. 45, pp. 37-43
Closed Access | Times Cited: 143
Comparative study of wavelet-ARIMA and wavelet-ANN models for temperature time series data in northeastern Bangladesh
Ahmad Hasan Nury, Khairul Hasan, Md. Jahir Bin Alam
Journal of King Saud University - Science (2015) Vol. 29, Iss. 1, pp. 47-61
Open Access | Times Cited: 133
Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory
Marta Matyjaszek, Pedro Riesgo Fernández, Alicja Krzemień, et al.
Resources Policy (2019) Vol. 61, pp. 283-292
Closed Access | Times Cited: 88
Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Zakaria Alameer, Mohamed Abd Elaziz, Ahmed A. Ewees, et al.
Natural Resources Research (2019) Vol. 28, Iss. 4, pp. 1385-1401
Closed Access | Times Cited: 82
Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility
Ahmed A. Ewees, Mohamed Abd Elaziz, Zakaria Alameer, et al.
Resources Policy (2019) Vol. 65, pp. 101555-101555
Closed Access | Times Cited: 82
Gold price forecasting using multivariate stochastic model
Lawrence Madziwa, Mallikarjun Pillalamarry, Snehamoy Chatterjee
Resources Policy (2022) Vol. 76, pp. 102544-102544
Closed Access | Times Cited: 40
Ecological security evaluation and early warning in the water source area of the Middle Route of South-to-North Water Diversion Project
Ken Sun, Wenbo He, Yufang Shen, et al.
The Science of The Total Environment (2023) Vol. 868, pp. 161561-161561
Closed Access | Times Cited: 34
Super learner ensemble model: A novel approach for predicting monthly copper price in future
Jue Zhao, Shahab Hosseini, Qinyang Chen, et al.
Resources Policy (2023) Vol. 85, pp. 103903-103903
Closed Access | Times Cited: 27
A Time Series Approach to Forecasting Financial Indicators in the Wholesale and Retail Trade
Sylvia Jenčová, Petra Vašaničová, Martina Košíková, et al.
World (2025) Vol. 6, Iss. 1, pp. 5-5
Open Access | Times Cited: 1
Copper price estimation using bat algorithm
Hesam Dehghani, Dejan Bogdanović
Resources Policy (2017) Vol. 55, pp. 55-61
Closed Access | Times Cited: 82
Alternative techniques for forecasting mineral commodity prices
Carlos A. Tapia Cortez, Serkan Saydam, Jeff Coulton, et al.
International Journal of Mining Science and Technology (2017) Vol. 28, Iss. 2, pp. 309-322
Open Access | Times Cited: 70
An electricity load forecasting model for Integrated Energy System based on BiGAN and transfer learning
Dengji Zhou, Shixi Ma, Jiarui Hao, et al.
Energy Reports (2020) Vol. 6, pp. 3446-3461
Open Access | Times Cited: 70
A semi-heterogeneous approach to combining crude oil price forecasts
Jue Wang, Xiang Li, Tao Hong, et al.
Information Sciences (2018) Vol. 460-461, pp. 279-292
Closed Access | Times Cited: 64
Deep belief network for gold price forecasting
Pinyi Zhang, Bicong Ci
Resources Policy (2020) Vol. 69, pp. 101806-101806
Closed Access | Times Cited: 63
Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniques
Chao Wang, Xinyi Zhang, Minggang Wang, et al.
Resources Policy (2019) Vol. 63, pp. 101414-101414
Closed Access | Times Cited: 56
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading
Yuze Li, Shouyang Wang, Yunjie Wei, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 6, pp. 1357-1368
Closed Access | Times Cited: 50
Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks
Weiping Liu, Chengzhu Wang, Yonggang Li, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110822-110822
Closed Access | Times Cited: 49
Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transform
Kailei Liu, Jinhua Cheng, Jiahui Yi
Resources Policy (2021) Vol. 75, pp. 102520-102520
Closed Access | Times Cited: 46
Forecasting monthly copper price: A comparative study of various machine learning-based methods
Hong Zhang, Hoang Nguyen, Diep-Anh Vu, et al.
Resources Policy (2021) Vol. 73, pp. 102189-102189
Closed Access | Times Cited: 42
Drought forecasting using W-ARIMA model with standardized precipitation index
Reza Rezaiy, Ani Shabri
Journal of Water and Climate Change (2023) Vol. 14, Iss. 9, pp. 3345-3367
Open Access | Times Cited: 18
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