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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:

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators
S. Alonso Monsalve, Andrés L. Suárez‐Cetrulo, Alejandro Cervantes, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113250-113250
Closed Access | Times Cited: 155

Showing 51-75 of 155 citing articles:

Profitability trend prediction in crypto financial markets using Fibonacci technical indicator and hybrid CNN model
Bilal Hassan Ahmed Khattak, Imran Shafi, Chaudhary Hamza Rashid, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
The use of high-frequency data in cryptocurrency research: a meta-review of literature with bibliometric analysis
Muhammad Anas, Syed Jawad Hussain Shahzad, Larisa Yarovaya
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Deep learning for Bitcoin price direction prediction: models and trading strategies empirically compared
Oluwadamilare Omole, David Enke
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Correlated Time-Series in Multi-Day-Ahead Streamflow Forecasting Using Convolutional Networks
Felipe Oliveira Barino, Vinicius N. H. Silva, Andrés P. L. Barbero, et al.
IEEE Access (2020) Vol. 8, pp. 215748-215757
Open Access | Times Cited: 27
A Bayesian Regularized Neural Network for Analyzing Bitcoin Trends
R. Sujatha, V Mareeswari, Jyotir Moy Chatterjee, et al.
IEEE Access (2021) Vol. 9, pp. 37989-38000
Open Access | Times Cited: 23
VTGAN: hybrid generative adversarial networks for cloud workload prediction
Aya I. Maiyza, Noha Korany, Karim Banawan, et al.
Journal of Cloud Computing Advances Systems and Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 8
News sensitive stock market prediction: literature review and suggestions
Shazia Usmani, Jawwad Ahmed Shamsi
PeerJ Computer Science (2021) Vol. 7, pp. e490-e490
Open Access | Times Cited: 19
Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
David L. John, Sebastian Binnewies, Bela Stantić
Forecasting (2024) Vol. 6, Iss. 3, pp. 637-671
Open Access | Times Cited: 2
Stock Price Movement Prediction Based on a Deep Factorization Machine and the Attention Mechanism
Xiaodong Zhang, Suhui Liu, Xin Zheng
Mathematics (2021) Vol. 9, Iss. 8, pp. 800-800
Open Access | Times Cited: 16
A New Hybrid Cryptocurrency Returns Forecasting Method Based on Multiscale Decomposition and an Optimized Extreme Learning Machine Using the Sparrow Search Algorithm
Xiaoxu Du, Zhenpeng Tang, Junchuan Wu, et al.
IEEE Access (2022) Vol. 10, pp. 60397-60411
Open Access | Times Cited: 12
Forecasting cryptocurrencies prices using data driven level set fuzzy models
Leandro Maciel, Rosângela Ballini, Fernando Gomide, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118387-118387
Closed Access | Times Cited: 12
Evaluation of Sustainable Digital Currency Exchange Platforms Using Analytic Models
Claire Davison, Peyman Akhavan, Tony Jan, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 5822-5822
Open Access | Times Cited: 11
Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models
Weisi Chen, Walayat Hussain, Francesco Cauteruccio, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 187-224
Open Access | Times Cited: 6
Promising Cryptocurrency Analysis using Deep Learning
Selim Buyrukoğlu
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2021)
Closed Access | Times Cited: 15
The Profitability of Technical Analysis during the COVID-19 Market Meltdown
Camillo Lento, Nikola Gradojević
Journal of risk and financial management (2022) Vol. 15, Iss. 5, pp. 192-192
Open Access | Times Cited: 9
Machine Learning, IoT, and Blockchain Integration for Improving Process Management Application Security
Roseline Oluwaseun Ogundokun, Micheal Olaolu Arowolo, Sanjay Misra, et al.
EAI/Springer Innovations in Communication and Computing (2022), pp. 237-252
Closed Access | Times Cited: 9
A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches
Jheng-Long Wu, Xian-Rong Tang, Chin-Hsiung Hsu
Soft Computing (2022) Vol. 27, Iss. 12, pp. 8209-8222
Open Access | Times Cited: 9
A hybrid forecasting model based on deep learning feature extraction and statistical arbitrage methods for stock trading strategies
Weiqian Zhang, Songsong Li, Zhichang Guo, et al.
Journal of Forecasting (2023) Vol. 42, Iss. 7, pp. 1729-1749
Open Access | Times Cited: 5
Time series prediction using machine learning: a case of Bitcoin returns
Irfan Haider Shakri
Studies in Economics and Finance (2021) Vol. 39, Iss. 3, pp. 458-470
Closed Access | Times Cited: 12
Framework based on multiplicative error and residual analysis to forecast bitcoin intraday-volatility
S. Tapia Araya, Werner Kristjanpoller
Physica A Statistical Mechanics and its Applications (2021) Vol. 589, pp. 126613-126613
Closed Access | Times Cited: 12
Two-Stage Hybrid Machine Learning Model for High-Frequency Intraday Bitcoin Price Prediction Based on Technical Indicators, Variational Mode Decomposition, and Support Vector Regression
Samuel Asante Gyamerah
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 12
Synthetic data generation with deep generative models to enhance predictive tasks in trading strategies
Daniel Carvajal-Patiño, Raúl Ramos-Pollán
Research in International Business and Finance (2022) Vol. 62, pp. 101747-101747
Closed Access | Times Cited: 8
A Deep Network-Based Trade and Trend Analysis System to Observe Entry and Exit Points in the Forex Market
Asit Kumar Das, Debahuti Mishra, Kaberi Das, et al.
Mathematics (2022) Vol. 10, Iss. 19, pp. 3632-3632
Open Access | Times Cited: 8
A new method of ensemble learning: case of cryptocurrency price prediction
Akhter Mohiuddin Rather
Knowledge and Information Systems (2022) Vol. 65, Iss. 3, pp. 1179-1197
Closed Access | Times Cited: 8
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting
Sarat Chandra Nayak, Subhranginee Das, Satchidananda Dehuri, et al.
IEEE Access (2023) Vol. 11, pp. 57693-57716
Open Access | Times Cited: 4

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