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:

Predicting Saudi Stock Market Index by Incorporating GDELT Using Multivariate Time Series Modelling
Rawan Alamro, Andrew McCarren, Amal Al‐Rasheed
Communications in computer and information science (2019), pp. 317-328
Closed Access | Times Cited: 13

Showing 13 citing articles:

Can International Market Indices Estimate TASI’s Movements? The ARIMA Model
Hamzeh F. Assous, Nadia Al‐Rousan, Dania AL-Najjar, et al.
Journal of Open Innovation Technology Market and Complexity (2020) Vol. 6, Iss. 2, pp. 27-27
Open Access | Times Cited: 17

The untapped potential of mining news media events for understanding environmental change
Kathleen Buckingham, John Brandt, Will Anderson, et al.
Current Opinion in Environmental Sustainability (2020) Vol. 45, pp. 92-99
Closed Access | Times Cited: 14

Exploring the predictive power of artificial neural networks in linking global Islamic indices with a local Islamic index
Zakaria Boulanouar, Ghassane Benrhmach, Rihab Grassa, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Analyzing the Relationship between the Dow Jones Index and Oil Prices Using the ARIMAX Model
Haifa Taha, Ameena Kareem Essa, Firas Monther Jassim
International Journal on Advanced Science Engineering and Information Technology (2021) Vol. 11, Iss. 2, pp. 465-473
Open Access | Times Cited: 5

A System for High Performance Mining on GDELT Data
Konstantin Pogorelov, Daniel Thilo Schroeder, Petra Filkuková, et al.
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2020), pp. 1101-1111
Closed Access | Times Cited: 3

Intelligent Techniques for Predicting Stock Market Prices: A Critical Survey
Esra'a Sulaiman Alshabeeb, Malak Aljabri, Rami Mustafa A. Mohammad, et al.
Journal of Information & Knowledge Management (2023) Vol. 22, Iss. 03
Closed Access

Mediating role of fundamental anomalies on the relationship between behavioral factors and investment performance
Alharthi Saleh Ahmad, Suresh Ramakrishnan, Adnan Ali, et al.
Environment and Social Psychology (2023) Vol. 9, Iss. 1
Open Access

Stock Market Predictability Using Machine Learning Techniques
Jiuye Wu
2022 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE) (2022), pp. 343-349
Closed Access

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