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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:

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: 41

Showing 1-25 of 41 citing articles:

Minerals resource rent responses to economic performance, greener energy, and environmental policy in China: Combination of ML and ANN outputs
Fu Chen, Sunil Tiwari, Kamel Si Mohammed, et al.
Resources Policy (2023) Vol. 81, pp. 103307-103307
Closed Access | Times Cited: 52
Contrasting Capability of Single Atom Palladium for Thermocatalytic versus Electrocatalytic Nitrate Reduction Reaction
Xuanhao Wu, Mohammadreza Nazemi, Srishti Gupta, et al.
ACS Catalysis (2023) Vol. 13, Iss. 10, pp. 6804-6812
Closed Access | Times Cited: 40
Global supply sustainability assessment of critical metals for clean energy technology
Sun Han, Meng Zhenghao, Li Meilin, et al.
Resources Policy (2023) Vol. 85, pp. 103994-103994
Closed Access | Times Cited: 31
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
Optimized functional linked neural network for predicting diaphragm wall deflection induced by braced excavations in clays
Chengyu Xie, Hoang Nguyen, Yosoon Choi, et al.
Geoscience Frontiers (2021) Vol. 13, Iss. 2, pp. 101313-101313
Open Access | Times Cited: 40
Forecasting rare earth stock prices with machine learning
Irene Henriques, Perry Sadorsky
Resources Policy (2023) Vol. 86, pp. 104248-104248
Closed Access | Times Cited: 13
A novel copper price forecasting ensemble method using adversarial interpretive structural model and sparrow search algorithm
LI Nin, Jiaojiao Li, Qizhou Wang, et al.
Resources Policy (2024) Vol. 91, pp. 104892-104892
Closed Access | Times Cited: 5
Lunar Calendar Usage to Improve Forecasting Accuracy Rainfall via Machine Learning Methods
Gumgum Darmawan, Gatot Riwi Setyanto, Defi Yusti Faidah, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 675-675
Open Access
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system
Wendong Yang, Hao Zhang, Jianzhou Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103267-103267
Closed Access
Globality in the metal markets: Leveraging cross-learning to forecast aluminum and copper prices
Konstantinos Oikonomou, D. Damigos, Dimitrios Dimitriou
Resources Policy (2025) Vol. 103, pp. 105558-105558
Closed Access
Machine Learning-Assisted Process Prediction of Horizontal Continuous Casting for Copper Tubular Billets
Jinsong Liu, Hongming Long, Dayong Chen, et al.
Journal of Materials Engineering and Performance (2025)
Closed Access
Toward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization
Li Shang, Hoang Nguyen, Xuan-Nam Bui, et al.
Acta Geotechnica (2021) Vol. 17, Iss. 4, pp. 1295-1314
Closed Access | Times Cited: 27
Multi-step-ahead copper price forecasting using a two-phase architecture based on an improved LSTM with novel input strategy and error correction
Hongyuan Luo, Deyun Wang, Jinhua Cheng, et al.
Resources Policy (2022) Vol. 79, pp. 102962-102962
Closed Access | Times Cited: 21
Volatility forecasting using deep neural network with time-series feature embedding
Wei-Jie Chen, Jingjing Yao, Yuan‐Hai Shao
Economic Research-Ekonomska Istraživanja (2022) Vol. 36, Iss. 1, pp. 1377-1401
Open Access | Times Cited: 16
Forecasting on metal resource spot settlement price: New evidence from the machine learning model
Tao Shi, Chongyang Li, Wei Zhang, et al.
Resources Policy (2023) Vol. 81, pp. 103360-103360
Closed Access | Times Cited: 9
Reliable novel hybrid extreme gradient boosting for forecasting copper prices using meta-heuristic algorithms: A thirty-year analysis
Zohre Nabavi, Mohammad Mirzehi, Hesam Dehghani
Resources Policy (2024) Vol. 90, pp. 104784-104784
Closed Access | Times Cited: 3
How good are different machine and deep learning models in forecasting the future price of metals? Full sample versus sub-sample
A.S. Amirtha Varshini, Parthajit Kayal, Moinak Maiti
Resources Policy (2024) Vol. 92, pp. 105040-105040
Open Access | Times Cited: 3
MS-IHHO-LSTM: Carbon Price Prediction Model of Multi-Source Data Based on Improved Swarm Intelligence Algorithm and Deep Learning Method
Guangyu Mu, Dai Li, Xiaoqing Ju, et al.
IEEE Access (2024) Vol. 12, pp. 80754-80769
Open Access | Times Cited: 3
Forecasting energy spot prices: A multiscale clustering recognition approach
Ranran Li
Resources Policy (2023) Vol. 81, pp. 103320-103320
Closed Access | Times Cited: 7
A review of state-of-the-art techniques for the determination of the optimum cut-off grade of a metalliferous deposit with a bibliometric mapping in a surface mine planning context
Pritam Biswas, Rabindra Kumar Sinha, Phalguni Sen
Resources Policy (2023) Vol. 83, pp. 103543-103543
Closed Access | Times Cited: 6
Exploring the relation between production factors, ore grades, and life of mine for forecasting mining capital cost through a novel cascade forward neural network-based salp swarm optimization model
Xiaolei Zheng, Hoang Nguyen, Xuan-Nam Bui
Resources Policy (2021) Vol. 74, pp. 102300-102300
Closed Access | Times Cited: 15
Forecasting Copper Prices Using Deep Learning: Implications for Energy Sector Economies
Reza Derakhshani, Amin GhasemiNejad, Naeeme Amani Zarin, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2316-2316
Open Access | Times Cited: 1
A novel hybrid random convolutional kernels model for price volatlity forecasting of precious metals
Siva Sai, Arun Kumar Giri, Vinay Chamola
Expert Systems (2024)
Closed Access | Times Cited: 1
Copper Price Forecasting Based on Improved Least Squares Support Vector Machine with Butterfly Optimization Algorithm
Jialu Ling, Ziyu Zhong, H. L. Wei
Computational Economics (2024)
Closed Access | Times Cited: 1
Machine learning for open-pit mining: a systematic review
Shi Qiang Liu, Lizhu Liu, Erhan Kozan, et al.
International Journal of Mining Reclamation and Environment (2024), pp. 1-39
Closed Access | Times Cited: 1
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