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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:

An automated cryptocurrency trading system based on the detection of unusual price movements with a Time-Series Clustering-Based approach
Faruk Özer, C. Okan Sakar
Expert Systems with Applications (2022) Vol. 200, pp. 117017-117017
Closed Access | Times Cited: 21

Showing 21 citing articles:

Evolving deep gated recurrent unit using improved marine predator algorithm for profit prediction based on financial accounting information system
Xue Li, Mohammad Khishe, Leren Qian
Complex & Intelligent Systems (2023) Vol. 10, Iss. 1, pp. 595-611
Open Access | Times Cited: 26
Export- and import-based economic models for predicting global trade using deep learning
Cheng‐Hong Yang, Cheng-Feng Lee, P. H. Kevin Chang
Expert Systems with Applications (2023) Vol. 218, pp. 119590-119590
Closed Access | Times Cited: 24
Attention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction
Peng Peng, Yuehong Chen, Weiwei Lin, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121520-121520
Closed Access | Times Cited: 17
Why do people choose to continue using cryptocurrencies?
Khaled Saleh Al-Omoush, Ana M. Gómez‐Olmedo, Andrés Gómez
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123151-123151
Closed Access | Times Cited: 15
Bayesian Network in Machine Learning: An Empirical Investigation to Assess the Price Clustering Model During Crises
Fatma Hachicha, Nada Suissi, Amine Lahiani
Computational Economics (2025)
Closed Access
A profitable trading algorithm for cryptocurrencies using a Neural Network model
Mimmo Parente, L. Rizzuti, Mario Trerotola
Expert Systems with Applications (2023) Vol. 238, pp. 121806-121806
Open Access | Times Cited: 9
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
Price spread prediction in high-frequency pairs trading using deep learning architectures
Jyh-Hwa Liou, Yi Liu, Li-Chen Cheng
International Review of Financial Analysis (2024), pp. 103793-103793
Closed Access | Times Cited: 2
Prediction of bitcoin stock price using feature subset optimization
Saurabh Singh, Anil Audumbar Pise, Byungun Yoon
Heliyon (2024) Vol. 10, Iss. 7, pp. e28415-e28415
Open Access | Times Cited: 1
A multi-model approach to the development of algorithmic trading systems for the Forex market
Pavel Sevastjanov, Krzysztof Kaczmarek, Leszek Rutkowski
Expert Systems with Applications (2023) Vol. 236, pp. 121310-121310
Closed Access | Times Cited: 3
Linking NFT Transaction Events to Identify Privacy Risks
Dorottya Zelenyanszki, Zhé Hóu, Kamanashis Biswas, et al.
Communications in computer and information science (2024), pp. 82-97
Closed Access
A machine learning approach for trading in financial markets using dynamic threshold breakout labeling
Erfan Saberi, Jamshid Pirgazi, Ali Ghanbari Sorkhi
The Journal of Supercomputing (2024) Vol. 80, Iss. 17, pp. 25188-25221
Closed Access
Measurement and forecasting of fluctuating Cryptocurrency prices using deep learning
Fozia Zeeshan, Narayan Nepal, Mohammad Norouzifard
(2023), pp. 258-263
Closed Access | Times Cited: 1
Enhancing the chimp optimization algorithm to evolve deep LSTMs for accounting profit prediction using adaptive pair reinforced technique
Chengchen Yang, Tong Wu, Lingzhuo Zeng
Evolving Systems (2023) Vol. 15, Iss. 4, pp. 1159-1178
Open Access | Times Cited: 1
Constructing a Cryptocurrency-Price Prediction Model Using Deep Learning
Trần Kim Toại, Thanh Thi Tuyet Le, Thinh Tien Bui, et al.
2021 International Conference on Engineering and Emerging Technologies (ICEET) (2022), pp. 1-6
Closed Access | Times Cited: 2
Ethereum Price Prediction using Topological Data Analysis
Samia Mohamed Hafez, Mustafa El Nainay, Mohamed S. Abougabal, et al.
(2022), pp. 146-153
Closed Access | Times Cited: 2
Effect of Cryptocurrency on Inflation in Nigeria
BadamasiSani Mohammed, Sule Ya’u Hayewa, Hussaini Shuaibu, et al.
International Economic and Finance Review (2022) Vol. 1, Iss. 2, pp. 92-108
Open Access | Times Cited: 1
A Big Data Solution to Predict Cryptocurrency Market Trends: A Time-Series Machine Learning Approach
Saeid Pourroostaei Ardakani, Ali Cheshmehzangi
(2023), pp. 41-54
Closed Access
Can Artificial Intelligence be Used to Target Market Manipulation?
Shaen Corbet, Charles Larkin
SSRN Electronic Journal (2023)
Closed Access
Strategy for Improving Taxpayer Compliance through the Giving of Tax Incentives PPh 21 Borne by the Government during the Covid-19 Pandemic at KPP Pratama Bekasi Utara
Vita Vitasia, Trie Andari Ratna, Dwikora Harjo, et al.
Ilomata International Journal of Tax and Accounting (2022) Vol. 3, Iss. 2, pp. 191-201
Open Access
Effectiveness of PMSE Vat in the New Normal Era in KPP Badan dan Orang Asing (KPP Badora)
Panji Harapan Agung, Endro Andayani, Ratih Kumala
Ilomata International Journal of Tax and Accounting (2022) Vol. 3, Iss. 2, pp. 150-161
Open Access
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