
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:
Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market
Salim Lahmiri, Stelios Bekiros
Chaos Solitons & Fractals (2020) Vol. 133, pp. 109641-109641
Closed Access | Times Cited: 74
Salim Lahmiri, Stelios Bekiros
Chaos Solitons & Fractals (2020) Vol. 133, pp. 109641-109641
Closed Access | Times Cited: 74
Showing 1-25 of 74 citing articles:
Financial applications of machine learning: A literature review
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 99
Noella Nazareth, Y.V. Reddy
Expert Systems with Applications (2023) Vol. 219, pp. 119640-119640
Closed Access | Times Cited: 99
Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction
Azeez A. Oyedele, Anuoluwapo Ajayi, Lukumon O. Oyedele, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119233-119233
Open Access | Times Cited: 74
Azeez A. Oyedele, Anuoluwapo Ajayi, Lukumon O. Oyedele, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119233-119233
Open Access | Times Cited: 74
Artificial intelligence techniques in financial trading: A systematic literature review
Fatima Dakalbab, Manar Abu Talib, Qassim Nasir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102015-102015
Open Access | Times Cited: 15
Fatima Dakalbab, Manar Abu Talib, Qassim Nasir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 3, pp. 102015-102015
Open Access | Times Cited: 15
Forecasting the cumulative number of confirmed cases of COVID-19 in Italy, UK and USA using fractional nonlinear grey Bernoulli model
Utkucan Şahin, Tezcan ŞAHİN
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109948-109948
Open Access | Times Cited: 95
Utkucan Şahin, Tezcan ŞAHİN
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109948-109948
Open Access | Times Cited: 95
Past, present, and future of the application of machine learning in cryptocurrency research
Yi‐Shuai Ren, Chaoqun Ma, Xiaolin Kong, et al.
Research in International Business and Finance (2022) Vol. 63, pp. 101799-101799
Open Access | Times Cited: 46
Yi‐Shuai Ren, Chaoqun Ma, Xiaolin Kong, et al.
Research in International Business and Finance (2022) Vol. 63, pp. 101799-101799
Open Access | Times Cited: 46
Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies
Gil Cohen
Mathematics (2022) Vol. 10, Iss. 18, pp. 3302-3302
Open Access | Times Cited: 37
Gil Cohen
Mathematics (2022) Vol. 10, Iss. 18, pp. 3302-3302
Open Access | Times Cited: 37
A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization
Salim Lahmiri, Stelios Bekiros, Christos Avdoulas
Decision Analytics Journal (2023) Vol. 6, pp. 100166-100166
Open Access | Times Cited: 31
Salim Lahmiri, Stelios Bekiros, Christos Avdoulas
Decision Analytics Journal (2023) Vol. 6, pp. 100166-100166
Open Access | Times Cited: 31
Models used to characterise blockchain features. A systematic literature review and bibliometric analysis
Juan Jesús Rico-Peña, Raquel Arguedas Sanz, Carmen López-Martín
Technovation (2023) Vol. 123, pp. 102711-102711
Open Access | Times Cited: 24
Juan Jesús Rico-Peña, Raquel Arguedas Sanz, Carmen López-Martín
Technovation (2023) Vol. 123, pp. 102711-102711
Open Access | Times Cited: 24
Forecasting the movements of Bitcoin prices: an application of machine learning algorithms
Hakan Pabuçcu, Serdar Ongan, Ayşe Ongan
Quantitative Finance and Economics (2020) Vol. 4, Iss. 4, pp. 679-692
Open Access | Times Cited: 55
Hakan Pabuçcu, Serdar Ongan, Ayşe Ongan
Quantitative Finance and Economics (2020) Vol. 4, Iss. 4, pp. 679-692
Open Access | Times Cited: 55
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
Bhaskar Tripathi, Rakesh Kumar Sharma
Computational Economics (2022) Vol. 62, Iss. 4, pp. 1919-1945
Open Access | Times Cited: 36
Complexity analysis and forecasting of variations in cryptocurrency trading volume with support vector regression tuned by Bayesian optimization under different kernels: An empirical comparison from a large dataset
Salim Lahmiri, Stelios Bekiros, Frank Bezzina
Expert Systems with Applications (2022) Vol. 209, pp. 118349-118349
Open Access | Times Cited: 35
Salim Lahmiri, Stelios Bekiros, Frank Bezzina
Expert Systems with Applications (2022) Vol. 209, pp. 118349-118349
Open Access | Times Cited: 35
Chaotic attitude synchronization and anti-synchronization of master-slave satellites using a robust fixed-time adaptive controller
Fawaz Waselallah Alsaade, Qijia Yao, Stelios Bekiros, et al.
Chaos Solitons & Fractals (2022) Vol. 165, pp. 112883-112883
Closed Access | Times Cited: 27
Fawaz Waselallah Alsaade, Qijia Yao, Stelios Bekiros, et al.
Chaos Solitons & Fractals (2022) Vol. 165, pp. 112883-112883
Closed Access | Times Cited: 27
Connectedness of cryptocurrency markets to crude oil and gold: an analysis of the effect of COVID-19 pandemic
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 6
Deep learning systems for forecasting the prices of crude oil and precious metals
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Algorithmic Trading Bot Using Artificial Intelligence Supertrend Strategy
Bogdan-Petru Vrînceanu, Florentin Şerban
International Journal of Latest Technology in Engineering Management & Applied Science (2025) Vol. 14, Iss. 1, pp. 14-20
Closed Access
Bogdan-Petru Vrînceanu, Florentin Şerban
International Journal of Latest Technology in Engineering Management & Applied Science (2025) Vol. 14, Iss. 1, pp. 14-20
Closed Access
Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing
Payam Boozary, Sohgand Sheykhan, Hamed GhorbanTanhaei
Systems and Soft Computing (2025), pp. 200209-200209
Open Access
Payam Boozary, Sohgand Sheykhan, Hamed GhorbanTanhaei
Systems and Soft Computing (2025), pp. 200209-200209
Open Access
The Effect of Data Types’ on the Performance of Machine Learning Algorithms for Cryptocurrency Prediction
Hulusi Mehmet Tanrikulu, Hakan Pabuçcu
Computational Economics (2025)
Open Access
Hulusi Mehmet Tanrikulu, Hakan Pabuçcu
Computational Economics (2025)
Open Access
Cryptocurrencies and Artificial Intelligence: Challenges and Opportunities
Farida Sabry, Wadha Labda, Aiman Erbad, et al.
IEEE Access (2020) Vol. 8, pp. 175840-175858
Open Access | Times Cited: 46
Farida Sabry, Wadha Labda, Aiman Erbad, et al.
IEEE Access (2020) Vol. 8, pp. 175840-175858
Open Access | Times Cited: 46
ETH analysis and predictions utilizing deep learning
Thanasis Zoumpekas, Elias N. Houstis, Manolis Vavalis
Expert Systems with Applications (2020) Vol. 162, pp. 113866-113866
Closed Access | Times Cited: 40
Thanasis Zoumpekas, Elias N. Houstis, Manolis Vavalis
Expert Systems with Applications (2020) Vol. 162, pp. 113866-113866
Closed Access | Times Cited: 40
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
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
Does reinforcement learning outperform deep learning and traditional portfolio optimization models in frontier and developed financial markets?
Vu Minh Ngo, Huan Huu Nguyen, Phuc Van Nguyen
Research in International Business and Finance (2023) Vol. 65, pp. 101936-101936
Closed Access | Times Cited: 13
Vu Minh Ngo, Huan Huu Nguyen, Phuc Van Nguyen
Research in International Business and Finance (2023) Vol. 65, pp. 101936-101936
Closed Access | Times Cited: 13
Real-time stress detection from smartphone sensor data using genetic algorithm-based feature subset optimization and k-nearest neighbor algorithm
Ensar Arif Sağbaş, Serdar Korukoğlu, Serkan Ballı
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1-32
Closed Access | Times Cited: 12
Ensar Arif Sağbaş, Serdar Korukoğlu, Serkan Ballı
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 1-32
Closed Access | Times Cited: 12
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
Lu Zhang, Lei Hua
Mathematics (2025) Vol. 13, Iss. 3, pp. 347-347
Open Access
Machine Learning Insights into Cryptocurrency Price Prediction: SVM and ANN Perspectives
Sara Salehi
Springer proceedings in business and economics (2025), pp. 205-217
Closed Access
Sara Salehi
Springer proceedings in business and economics (2025), pp. 205-217
Closed Access
Analysis of the Impact of Social Media on Cryptocurrency Price Predictions
Abhay Ratnaparkhi, Arti Sachan, Gajanand Sharma, et al.
Advances in intelligent systems and computing (2025), pp. 337-355
Closed Access
Abhay Ratnaparkhi, Arti Sachan, Gajanand Sharma, et al.
Advances in intelligent systems and computing (2025), pp. 337-355
Closed Access