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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:

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

Showing 13 citing articles:

Towards Economic Sustainability: A Comprehensive Review of Artificial Intelligence and Machine Learning Techniques in Improving the Accuracy of Stock Market Movements
Atoosa Rezaei, Iheb Abdellatif, Amjad Umar
International Journal of Financial Studies (2025) Vol. 13, Iss. 1, pp. 28-28
Open Access
Cyber, Geopolitical, and Financial Risks in Rare Earth Markets: Drivers of Market Volatility
Emilia Calefariu Giol, Oana Panazan, Cătălin Gheorghe
Risks (2025) Vol. 13, Iss. 3, pp. 46-46
Open Access
Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict
Xiaoming Yang, Md. Monirul Islam, Grzegorz Mentel, et al.
Resources Policy (2024) Vol. 89, pp. 104615-104615
Open Access | Times Cited: 4
Empirical-singular-wavelet based machine learning models for sea level forecasting in the bosphorus strait: A performance analysis
Elif Kartal, Abdüsselam Altunkaynak
Ocean Modelling (2024) Vol. 188, pp. 102324-102324
Closed Access | Times Cited: 3
Predictive Modeling of Stock Prices Using Machine Learning: A Comparative Analysis of LSTM, GRU, CNN, and RNN Models
Adnan Dželihodžić, Amila Žunić, Emina Žunić Dželihodžić
Lecture notes in networks and systems (2024), pp. 447-467
Closed Access | Times Cited: 1
An enhanced secondary decomposition model considering energy price for carbon price prediction
Gen Deng, Shunyu Zhao, Xiaoyao Yu, et al.
Applied Soft Computing (2024), pp. 112648-112648
Closed Access | Times Cited: 1
Research on the competitive landscape of global rare earth resources demand
Qing Guo, Tianyue Guo
Managerial and Decision Economics (2024) Vol. 45, Iss. 5, pp. 3217-3238
Closed Access
Enhancing Stock Trading Strategies: Integrating Discrete Wavelet Transformation with Deep Q-Network
Qi Wang, Liang Zhang, Yanyu Zeng, et al.
Journal of Circuits Systems and Computers (2024) Vol. 33, Iss. 15
Closed Access
Harnessing the Power of Prophet Algorithm for Advanced Predictive Modeling of Grab Holdings Stock Prices
Hery Hery
Journal of Applied Data Sciences (2024) Vol. 5, Iss. 2, pp. 326-341
Open Access
Forecasting synergistic pathways between rare earth elements, renewable energy, and product and economic complexities in achieving a low-carbon future
Khizar Abbas, Shisi Zou, Deyi Xu, et al.
Journal of Environmental Management (2024) Vol. 365, pp. 121578-121578
Closed Access
Türkiye'de Cinsiyete göre Obezite Öncesi Yüzdelik Dağılımının Yapay Sinir Ağı ve Zaman Serileri ile Tahmini
Halil Çolak, Emre Çolak
Karadeniz Fen Bilimleri Dergisi (2024) Vol. 14, Iss. 3, pp. 1340-1359
Open Access
Long sequence Time-Series forecasting of rare earth price based on Variational Mode Decomposition and improved Random Forest
Rongxiu Lu, K. Yao, Hui Yang, et al.
Research Square (Research Square) (2024)
Open Access
Forecasting Demand for Donuts Using a Machine Learning Approach
Nurhayati Sembiring, Wanda Burma Sari Harahap, Farhan Abiyyahda Khalif, et al.
(2024), pp. 159-164
Closed Access
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