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:
Novel insights into the modeling financial time-series through machine learning methods: Evidence from the cryptocurrency market
Morteza Khosravi, Majid Mirzaee Ghazani
Expert Systems with Applications (2023) Vol. 234, pp. 121012-121012
Closed Access | Times Cited: 7
Morteza Khosravi, Majid Mirzaee Ghazani
Expert Systems with Applications (2023) Vol. 234, pp. 121012-121012
Closed Access | Times Cited: 7
Showing 7 citing articles:
A novel method for ship carbon emissions prediction under the influence of emergency events
Yinwei Feng, Xinjian Wang, Jianlin Luan, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104749-104749
Open Access | Times Cited: 13
Yinwei Feng, Xinjian Wang, Jianlin Luan, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104749-104749
Open Access | Times Cited: 13
The Effect of Data Types’ on the Performance of Machine Learning Algorithms for Cryptocurrency Prediction
Hulusi Mehmet Tanrikulu, Hakan Pabuçcu
Computational Economics (2025)
Open Access
Hulusi Mehmet Tanrikulu, Hakan Pabuçcu
Computational Economics (2025)
Open Access
An Advisor Neural Network framework using LSTM-based Informative Stock Analysis
Fausto Ricchiuti, Giancarlo Sperlì
Expert Systems with Applications (2024) Vol. 259, pp. 125299-125299
Open Access | Times Cited: 3
Fausto Ricchiuti, Giancarlo Sperlì
Expert Systems with Applications (2024) Vol. 259, pp. 125299-125299
Open Access | Times Cited: 3
Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory
C V Anoop, Neeraj Negi, Anup Aprem
Expert Systems with Applications (2024), pp. 125475-125475
Closed Access | Times Cited: 1
C V Anoop, Neeraj Negi, Anup Aprem
Expert Systems with Applications (2024), pp. 125475-125475
Closed Access | Times Cited: 1
Deep High-Frequency Cryptocurrency Trend Detection: An Approach For Data Stationarity
Ali Asare Nezhad, Ahmad Kalhor, Babak Nadjar Araabi
SSRN Electronic Journal (2024)
Closed Access
Ali Asare Nezhad, Ahmad Kalhor, Babak Nadjar Araabi
SSRN Electronic Journal (2024)
Closed Access
Bridging Bollinger Bands and Machine Learning in SET100 Stock Trading Strategies
Palod Chanrungmaneekul, Juthathip Phuangbut, Rujira Chaysiri
(2024), pp. 51-56
Closed Access
Palod Chanrungmaneekul, Juthathip Phuangbut, Rujira Chaysiri
(2024), pp. 51-56
Closed Access
The Business Performance and Poverty alleviation in Pakistan: A Practical Application through ARDL approach
Muzamil Saeed, Jai Kishan, Fiaz Ahmed Bhutto
Journal of Social & Organizational Matters (2023) Vol. 2, Iss. 3, pp. 34-51
Open Access
Muzamil Saeed, Jai Kishan, Fiaz Ahmed Bhutto
Journal of Social & Organizational Matters (2023) Vol. 2, Iss. 3, pp. 34-51
Open Access
