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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 26-50 of 155 citing articles:

MRC-LSTM: A Hybrid Approach of Multi-scale Residual CNN and LSTM to Predict Bitcoin Price
Qiutong Guo, Shun Lei, Qing Ye, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Open Access | Times Cited: 37
A Black Swan event-based hybrid model for Indian stock markets’ trends prediction
Samit Bhanja, Abhishek Das
Innovations in Systems and Software Engineering (2022) Vol. 20, Iss. 2, pp. 121-135
Open Access | Times Cited: 23
Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Computational Economics (2023) Vol. 64, Iss. 2, pp. 1219-1258
Closed Access | Times Cited: 14
Predicting macro-financial instability – How relevant is sentiment? Evidence from long short-term memory networks
Dalel Kanzari, Mohamed Sahbi Nakhli, Brahim Gaies, et al.
Research in International Business and Finance (2023) Vol. 65, pp. 101912-101912
Closed Access | Times Cited: 13
Unveiling the potential: Exploring the predictability of complex exchange rate trends
Yuntao Mao, Ziwei Chen, Siyuan Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108112-108112
Closed Access | Times Cited: 4
Probabilistic deep learning and transfer learning for robust cryptocurrency price prediction
Amin Golnari, Mohammad Hossein Komeili, Zahra Azizi
Expert Systems with Applications (2024) Vol. 255, pp. 124404-124404
Closed Access | Times Cited: 4
An advanced model integrating prompt tuning and dual-channel paradigm for enhancing public opinion sentiment classification
Runzhou Wang, Xinsheng Zhang, Yulong Ma
Computers & Electrical Engineering (2025) Vol. 123, pp. 110047-110047
Closed Access
Prediction of Ethereum Prices Based on Blockchain Information in an Industrial Finance System Using Machine Learning Techniques
Syrine Ben Romdhane, Fahmi Ben Rejab, Khadija Mnasri
Communications in computer and information science (2025), pp. 189-211
Closed Access
Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook’s prophet-TBATS and XAI methodology
Indranil Ghosh, Amith Vikram Megaravalli, Mohammad Zoynul Abedin, et al.
Annals of Operations Research (2025)
Open Access
Cryptocurrency Trend Prediction Through Hybrid Deep Transfer Learning
Kia Jahanbin, Mohammad Ali Zare Chahooki
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Forecasting cryptocurrency volatility: a novel framework based on the evolving multiscale graph neural network
Yang Zhou, Chi Xie, Gang‐Jin Wang, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
Hybrid model of 1D-CNN and LSTM for forecasting Ethereum closing prices: a case study of temporal analysis
Trần Thái Hòa, Thanh Manh Le, Đình Hòa Nguyễn
International Journal of Information Technology (2025)
Closed Access
BITCOIN & BEYOND: THE FUTURE OF CRYPTOCURRENCIES, SECURITY, AND INVESTMENT
Vansh Bathla, Karam Pal Narwal
Deleted Journal (2025) Vol. 08, Iss. 01(I), pp. 198-203
Closed Access
Leveraging BiLSTM-GAT for enhanced stock market prediction: a dual-graph approach to portfolio optimization
Xiaojian Lu, Josiah Poon, Matloob Khushi
Applied Intelligence (2025) Vol. 55, Iss. 7
Open Access
Helformer: an attention-based deep learning model for cryptocurrency price forecasting
T.O. Kehinde, Oluyinka J. Adedokun, Agnel Praveen Joseph, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
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
A new hybrid machine learning model for predicting the bitcoin (BTC-USD) price
Pavan Kumar Nagula, Christos Alexakis
Journal of Behavioral and Experimental Finance (2022) Vol. 36, pp. 100741-100741
Closed Access | Times Cited: 20
High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set
Shangkun Deng, Chongyi Xiao, Yingke Zhu, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119326-119326
Closed Access | Times Cited: 19
Algorithmic trading using continuous action space deep reinforcement learning
Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
Expert Systems with Applications (2023) Vol. 235, pp. 121245-121245
Open Access | Times Cited: 12
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
Prediction of Bitcoin price based on manipulating distribution strategy
Eunho Koo, Geonwoo Kim
Applied Soft Computing (2021) Vol. 110, pp. 107738-107738
Closed Access | Times Cited: 24
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
Forecasting and trading credit default swap indices using a deep learning model integrating Merton and LSTMs
Weifang Mao, Huiming Zhu, Hao Wu, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119012-119012
Closed Access | Times Cited: 17
An asymmetric PROMETHEE II for cryptocurrency portfolio allocation based on return prediction
Sarfaraz Hashemkhani Zolfani, Hasan Taheri, Mahmoud Gharehgozlou, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109829-109829
Closed Access | Times Cited: 16
How well do investor sentiment and ensemble learning predict Bitcoin prices?
Petr Hájek, Lubica Hikkerova, Jean‐Michel Sahut
Research in International Business and Finance (2022) Vol. 64, pp. 101836-101836
Closed Access | Times Cited: 16

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