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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:

Modeling Bitcoin Prices using Signal Processing Methods, Bayesian Optimization, and Deep Neural Networks
Bhaskar Tripathi, Rakesh Kumar Sharma
Computational Economics (2022) Vol. 62, Iss. 4, pp. 1919-1945
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
Vule Mizdraković, Maja Kljajić, Miodrag Živković, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112026-112026
Open Access | Times Cited: 17
Advancing short-term solar irradiance forecasting accuracy through a hybrid deep learning approach with Bayesian optimization
Reagan Jean Jacques Molu, Bhaskar Tripathi, Wulfran Fendzi Mbasso, et al.
Results in Engineering (2024) Vol. 23, pp. 102461-102461
Open Access | Times Cited: 17
Using CNN to Model Stock Prices
Mitja Steinbacher, Matej Steinbacher, Matjaž Steinbacher
Computational Economics (2025)
Closed Access | Times Cited: 1
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 37
An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend
Adela Bârã, Simona‐Vasilica Oprea
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 107991-107991
Closed Access | Times Cited: 10
A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis
Bilal Hassan Ahmed Khattak, Imran Shafi, Abdul Saboor Khan, et al.
IEEE Access (2023) Vol. 11, pp. 125359-125380
Open Access | Times Cited: 16
Automated Bitcoin Trading dApp Using Price Prediction from a Deep Learning Model
Zhi Zhan Lua, Chee Kiat Seow, Raymond Ching Bon Chan, et al.
Risks (2025) Vol. 13, Iss. 1, pp. 17-17
Open Access
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
N-BEATS Deep Learning Architecture for Agricultural Commodity Price Forecasting
G. H. Harish Nayak, Md Wasi Alam, G. Avinash, et al.
Potato Research (2024)
Closed Access | Times Cited: 4
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
Do crude oil, gold and the US dollar contribute to Bitcoin investment decisions? An ANN-DCC-GARCH approach
Yadong Liu, Nathee Naktnasukanjn, Anukul Tamprasirt, et al.
Asian Journal of Economics and Banking (2024) Vol. 8, Iss. 1, pp. 2-18
Open Access | Times Cited: 3
Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
Amina Ladhari, Heni Boubaker
Forecasting (2024) Vol. 6, Iss. 2, pp. 279-295
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
A hybrid approach for forecasting bitcoin series
Amine Mtiraoui, Heni Boubaker, Lotfi Belkacem
Research in International Business and Finance (2023) Vol. 66, pp. 102011-102011
Closed Access | Times Cited: 7
1D-CapsNet-LSTM: A deep learning-based model for multi-step stock index forecasting
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101959-101959
Open Access | Times Cited: 2
Dickson polynomial-based secure group authentication scheme for Internet of Things
Salman Ali Syed, Selvakumar Manickam, Mueen Uddin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Analyzing the performance of geometric mean optimization-based artificial neural networks for cryptocurrency forecasting
Sudersan Behera, A. V. S. Pavan Kumar, Sarat Chandra Nayak
International Journal of Information Technology (2024)
Closed Access | Times Cited: 2
Elevating Univariate Time Series Forecasting: Innovative SVR-Empowered Nonlinear Autoregressive Neural Networks
Juan D. Borrero, Jesús Mariscal
Algorithms (2023) Vol. 16, Iss. 9, pp. 423-423
Open Access | Times Cited: 6
N-BEATS Perceiver: A Novel Approach for Robust Cryptocurrency Portfolio Forecasting
Attilio Sbrana, Paulo André Lima de Castro
Computational Economics (2023) Vol. 64, Iss. 2, pp. 1047-1081
Closed Access | Times Cited: 6
Bitcoin price prediction using LSTM, GRU and hybrid LSTM-GRU with bayesian optimization, random search, and grid search for the next days
I.sibel KERVANCI, Mehmet Fatih Akay, Eren Özceylan
Journal of Industrial and Management Optimization (2023) Vol. 20, Iss. 2, pp. 570-588
Open Access | Times Cited: 5
Modeling Asset Price Process: An Approach for Imaging Price Chart with Generative Diffusion Models
J.-G. Park, Hyungjin Ko, Jaewook Lee
Computational Economics (2024)
Open Access | Times Cited: 1
Skew Index: a machine learning forecasting approach
Esteban Vanegas Duarte, Andrés Mora‐Valencia
Risk Management (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
N-BEATS Perceiver: A Novel Approach for Robust Cryptocurrency Portfolio Forecasting
Attilio Sbrana, Paulo André Lima de Castro
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Forecasting Bitcoin Closing Price by Four Machine Learning Algorithms
Jingjing Zhang
Highlights in Business Economics and Management (2024) Vol. 24, pp. 285-292
Open Access
Trend and Methods of IoT Sequential Data Outlier Detection
Yinuo Wang, Tao Shen, Siying Qu, et al.
(2024), pp. 386-391
Closed Access
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