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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:

Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey
Ahmed M. Khedr, Ifra Arif, Pravija Raj P V, et al.
Intelligent Systems in Accounting Finance & Management (2021) Vol. 28, Iss. 1, pp. 3-34
Closed Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat
Xiaojie Xu, Yun Zhang
Intelligent Systems in Accounting Finance & Management (2022) Vol. 29, Iss. 3, pp. 169-181
Closed Access | Times Cited: 73
AI-enhanced blockchain technology: A review of advancements and opportunities
Dalila Ressi, Riccardo Romanello, Carla Piazza, et al.
Journal of Network and Computer Applications (2024) Vol. 225, pp. 103858-103858
Closed Access | Times Cited: 44
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
A Deep Learning-Based Cryptocurrency Price Prediction Model That Uses On-Chain Data
Gyeongho Kim, Dong-Hyun Shin, Jae Gyeong Choi, et al.
IEEE Access (2022) Vol. 10, pp. 56232-56248
Open Access | Times Cited: 43
Multivariate cryptocurrency prediction: comparative analysis of three recurrent neural networks approaches
Seng Hansun, Arya Wicaksana, A.Q.M. Khaliq
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 42
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
On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles
Kate Murray, Andrea Rossi, Diego Carraro, et al.
Forecasting (2023) Vol. 5, Iss. 1, pp. 196-209
Open Access | Times Cited: 35
A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique
Amal Al Ali, Ahmed M. Khedr, Magdi El‐Bannany, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2272-2272
Open Access | Times Cited: 22
Machine learning in business and finance: a literature review and research opportunities
Hanyao Gao, Gang Kou, Haiming Liang, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 9
Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods
Ahmed Bouteska, Mohammad Zoynul Abedin, Petr Hájek, et al.
International Review of Financial Analysis (2023) Vol. 92, pp. 103055-103055
Open Access | Times Cited: 19
Forecasting of cryptocurrencies: Mapping trends, influential sources, and research themes
Tomas Pečiulis, Nisar Ahmad, Angeliki N. Menegaki, et al.
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 1880-1901
Closed Access | Times Cited: 5
Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
Shake Ibna Abir, Shariar Islam Saimon, Tui Rani Saha, et al.
Journal of Economics Finance and Accounting Studies (2025) Vol. 7, Iss. 1, pp. 26-48
Open Access
ANALYZING SOCIAL MEDIA SENTIMENT TOWARD SPECIFIC COMMODITIES FOR FORECASTING PRICE MOVEMENTS IN COMMODITY MARKETS
Mariono Mariono, Syaharuddin Syaharuddin, S. M. Ashraf, et al.
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2025) Vol. 19, Iss. 1, pp. 199-214
Closed Access
Enhancing financial time series forecasting through topological data analysis
Luiz Carlos de Jesus, Francisco Fernández‐Navarro, Mariano Carbonero-Ruz
Neural Computing and Applications (2025)
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
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
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
Forecasting the unforecastable: An independent component analysis for majority game-like global cryptocurrencies
Oliver Kirsten, Bernd Süßmuth
Physica A Statistical Mechanics and its Applications (2025), pp. 130472-130472
Open Access
A random forest-based model for crypto asset forecasts in futures markets with out-of-sample prediction
Francisco Orte, José Mira, María Manzano, et al.
Research in International Business and Finance (2022) Vol. 64, pp. 101829-101829
Open Access | Times Cited: 22
GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction
Amal Al Ali, Ahmed M. Khedr, Magdi El‐Bannany, et al.
International Journal of Financial Studies (2023) Vol. 11, Iss. 1, pp. 38-38
Open Access | Times Cited: 14
Understanding rate of return dynamics of cryptocurrencies: an experimental campaign
Krzysztof Koszewski, Somnath Mazumdar, Anoop Kumar
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 4
Encoder–Decoder Based LSTM and GRU Architectures for Stocks and Cryptocurrency Prediction
Joy Dip Das, Ruppa K. Thulasiram, Christopher J. Henry, et al.
Journal of risk and financial management (2024) Vol. 17, Iss. 5, pp. 200-200
Open Access | Times Cited: 4
Bitcoin Price Prediction Using Sentiment Analysis and Empirical Mode Decomposition
Serdar Arslan
Computational Economics (2024)
Open Access | Times Cited: 4
Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm
Ching‐Hsue Cheng, Jun-He Yang, Jianrong Dai
Cognitive Computation (2025) Vol. 17, Iss. 1
Closed Access
Twitter Sentiment Analysis-Based Adjustment of Cryptocurrency Action Recommendation Model for Profit Maximization
Jaehyun Park, Yeong‐Seok Seo
IEEE Access (2023) Vol. 11, pp. 44828-44841
Open Access | Times Cited: 11
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