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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:

Forecasting Bitcoin with technical analysis: A not-so-random forest?
Nikola Gradojević, Dragan Kukolj, Robert Adcock, et al.
International Journal of Forecasting (2021) Vol. 39, Iss. 1, pp. 1-17
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

MLP-based Learnable Window Size for Bitcoin price prediction
Shahab Rajabi, Pardis Roozkhosh, Nasser Motahari Farimani
Applied Soft Computing (2022) Vol. 129, pp. 109584-109584
Closed Access | Times Cited: 41
Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants
Yijun Wang, Galina Andreeva, Belén Martín-Barragán
International Review of Financial Analysis (2023) Vol. 90, pp. 102914-102914
Open Access | Times Cited: 25
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: 11
Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis
Luís Almeida, Elisabete Vieira
Risks (2023) Vol. 11, Iss. 8, pp. 142-142
Open Access | Times Cited: 14
Navigating Energy and Financial Markets: A Review of Technical Analysis Used and Further Investigation from Various Perspectives
Yensen Ni
Energies (2024) Vol. 17, Iss. 12, pp. 2942-2942
Open Access | Times Cited: 5
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
Major Issues in High-Frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
The Role of Guru Investor in Bitcoin: Evidence from Kolmogorov-Arnold Networks
Dehua Shen, Yiheng Wu
Research in International Business and Finance (2025), pp. 102789-102789
Closed 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
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
An Improved Machine Learning-Driven Framework for Cryptocurrencies Price Prediction With Sentimental Cautioning
Muhammad Zubair, Jaffar Ali, Musaed Alhussein, et al.
IEEE Access (2024) Vol. 12, pp. 51395-51418
Open Access | Times Cited: 4
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
Forecasting European Union allowances futures: The role of technical indicators
Ditian Zhang, Pan Tang
Energy (2023) Vol. 270, pp. 126916-126916
Closed Access | Times Cited: 9
Emotional spillovers in the cryptocurrency market
Md Iftekhar Hasan Chowdhury, Mudassar Hasan, Elie Bouri, et al.
Journal of Behavioral and Experimental Finance (2023) Vol. 41, pp. 100878-100878
Closed Access | Times Cited: 9
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
Forecasting Bitcoin volatility using machine learning techniques
Zih-Chun Huang, Ivan Sangiorgi, Andrew Urquhart
Journal of International Financial Markets Institutions and Money (2024) Vol. 97, pp. 102064-102064
Open Access | Times Cited: 3
On the robust drivers of cryptocurrency liquidity: the case of Bitcoin
Walid M.A. Ahmed
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 2
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
Forecasting green bond volatility via novel heterogeneous ensemble approaches
Yufei Xia, Hanfei Ren, Yinguo Li, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117580-117580
Closed Access | Times Cited: 10
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
Logistics Supply Chain Network Risk Prediction Model Based on Intelligent Random Forest Model
Zhiming Xu, Weichuan Ni, Shaojiang Liu, et al.
IEEE Transactions on Engineering Management (2023) Vol. 71, pp. 9813-9825
Closed Access | Times Cited: 5
Is Technical Analysis Profitable on Renewable Energy Stocks? Evidence from Trend-Reinforcing, Mean-Reverting and Hybrid Fractal Trading Systems
Safwan Mohd Nor, Nur Haiza Muhammad Zawawi, Guneratne B Wickremasinghe, et al.
Axioms (2023) Vol. 12, Iss. 2, pp. 127-127
Open Access | Times Cited: 4
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
A hybrid deep learning model for Bitcoin price prediction: data decomposition and feature selection
Jikai Wang, Kai Feng, Gaoxiu Qiao
Applied Economics (2023) Vol. 56, Iss. 53, pp. 6890-6905
Closed Access | Times Cited: 4
Major Issues in High-frequency Financial Data Analysis: A Survey of Solutions
Lu Zhang, Lei Hua
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
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