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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:

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

Showing 1-25 of 70 citing articles:

Designing a short-term load forecasting model in the urban smart grid system
Chen Li
Applied Energy (2020) Vol. 266, pp. 114850-114850
Open Access | Times Cited: 73
Medium- to long-term nickel price forecasting using LSTM and GRU networks
Ali Can Özdemir, Kurtuluş Buluş, Kasım Zor
Resources Policy (2022) Vol. 78, pp. 102906-102906
Closed Access | Times Cited: 53
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
Decarbonization, population disruption and resource inventories in the global energy transition
Kamila Svobodová, John R. Owen, Deanna Kemp, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 40
Assessing the inflation hedging of gold and palladium in OECD countries
Afees A. Salisu, Umar B. Ndako, Tirimisiyu F. Oloko
Resources Policy (2019) Vol. 62, pp. 357-377
Closed Access | Times Cited: 61
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
Healthcare Operations and Black Swan Event for COVID-19 Pandemic: A Predictive Analytics
Jinil Persis, Manimuthu Arunmozhi, V. Raja Sreedharan
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 9, pp. 3229-3243
Open Access | Times Cited: 41
Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques
Insu Choi, Woo Chang Kim
International Review of Financial Analysis (2024) Vol. 94, pp. 103252-103252
Closed Access | Times Cited: 6
Agribusiness time series forecasting using Wavelet neural networks and metaheuristic optimization: An analysis of the soybean sack price and perishable products demand
Weslly Puchalsky, Gabriel Trierweiler Ribeiro, Claudimar Pereira da Veiga, et al.
International Journal of Production Economics (2018) Vol. 203, pp. 174-189
Closed Access | Times Cited: 52
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
Pei Du, Ju’e Guo, Shaolong Sun, et al.
Resources Policy (2021) Vol. 74, pp. 102335-102335
Closed Access | Times Cited: 34
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
Forecasting revenue from primary and secondary sources of rare earth elements
Ajay Gupta, Eric Williams, Gabrielle Gaustad
Resources Conservation and Recycling (2024) Vol. 207, pp. 107612-107612
Closed Access | Times Cited: 3
Another look at the energy-growth nexus: New insights from MIDAS regressions
Afees A. Salisu, Ahamuefula E. Ogbonna
Energy (2019) Vol. 174, pp. 69-84
Closed Access | Times Cited: 27
Chaotic behavior in gold, silver, copper and bitcoin prices
Melike Bildirici, Bahri Sonüstün
Resources Policy (2021) Vol. 74, pp. 102386-102386
Closed Access | Times Cited: 21
Commodity Price Prediction for making informed Decisions while trading using Long Short-Term Memory (LSTM) Algorithm
Shashikant Suman, Prakarsh Kaushik, Sai Sri Nandan Challapalli, et al.
(2022), pp. 406-411
Closed Access | Times Cited: 16
Assessing the inflation hedging potential of coal and iron ore in Australia
Afees A. Salisu, Idris A. Adediran
Resources Policy (2019) Vol. 63, pp. 101410-101410
Closed Access | Times Cited: 24
Hybrid Stochastic-Grey Model to Forecast the Behavior of Metal Price in the Mining Industry
Zoran Gligorić, Miloš Gligorić, Dževdet Halilović, et al.
Sustainability (2020) Vol. 12, Iss. 16, pp. 6533-6533
Open Access | Times Cited: 21
Market risk factors analysis for an international mining company. Multi-dimensional, heavy-tailed-based modelling
Łukasz Bielak, Aleksandra Grzesiek, Joanna Janczura, et al.
Resources Policy (2021) Vol. 74, pp. 102308-102308
Open Access | Times Cited: 16
Métodos de previsão de demanda: uma revisão da literatura
Andres Eberhard Friedl Ackermann, Miguel Afonso Sellitto
Innovar (2022) Vol. 32, Iss. 85, pp. 83-99
Open Access | Times Cited: 12
Time-varying and multi-scale analysis of copper price influencing factors based on LASSO and EMD methods
Yanqiong Liu, Yaoqi Guo, Qing Wei
Journal of commodity markets (2024) Vol. 34, pp. 100388-100388
Closed Access | Times Cited: 2
Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression
Krzysztof Drachal, Michal E. Pawlowski
International Journal of Financial Studies (2024) Vol. 12, Iss. 2, pp. 34-34
Open Access | Times Cited: 2
The Eco-Costs of Material Scarcity, a Resource Indicator for LCA, Derived from a Statistical Analysis on Excessive Price Peaks
J.G. Vogtländer, David Peck, Dorota Kurowicka
Sustainability (2019) Vol. 11, Iss. 8, pp. 2446-2446
Open Access | Times Cited: 19
Using entropy to assess dynamic behaviour of long-term copper price
Carlos Tapia, Jeff Coulton, Serkan Saydam
Resources Policy (2020) Vol. 66, pp. 101597-101597
Closed Access | Times Cited: 18
Algorithmic Strategies for Precious Metals Price Forecasting
Gil Cohen
Mathematics (2022) Vol. 10, Iss. 7, pp. 1134-1134
Open Access | Times Cited: 11
Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method
Yunna Wu, Xingkai Yong, Yao Tao, et al.
Socio-Economic Planning Sciences (2022) Vol. 86, pp. 101461-101461
Closed Access | Times Cited: 10
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