Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 46 citing articles:

Decentralized transactive energy community in edge grid with positive buildings and interactive electric vehicles
Ying Wu, Yanpeng Wu, Josep M. Guerrero, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 135, pp. 107510-107510
Open Access | Times Cited: 64
Shaping the future of Ethereum: exploring energy consumption in Proof-of-Work and Proof-of-Stake consensus
Rameez Asif, Syed Raheel Hassan
Frontiers in Blockchain (2023) Vol. 6
Open Access | Times Cited: 28
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study
Grzegorz Dudek, Piotr Fiszeder, Paweł Kobus, et al.
Applied Soft Computing (2023) Vol. 151, pp. 111132-111132
Open Access | Times Cited: 16
Deep Learning and Machine Learning Insights Into the Global Economic Drivers of the Bitcoin Price
Nezir Köse, Yunus Emre Gür, Emre Ünal
Journal of Forecasting (2025)
Open Access
Blockchain for Quality: Advancing Security, Efficiency, and Transparency in Financial Systems
Tomaž Kukman, Sergej Gričar
FinTech (2025) Vol. 4, Iss. 1, pp. 7-7
Open Access
Driving Change: Examining the Role of Digital Remittances in Achieving SDG 10.c
Umar Mohammed
Sustainable development goals series (2025), pp. 197-212
Closed 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
Application and Innovation in Financial Market Risk Management Based on Big Data and Artificial Intelligence
Ruimei Wang
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Blockchain-enabled agri-goods tracing and cryptocurrency payment in supply chain management
S. Muthu, K. Kartheeban
AIP conference proceedings (2025) Vol. 3266, pp. 020008-020008
Closed Access
Machine learning Ethereum cryptocurrency prediction and knowledge-based investment strategies
Adrián Viéitez, Matilde Santos, Rodrigo Naranjo
Knowledge-Based Systems (2024) Vol. 299, pp. 112088-112088
Open Access | Times Cited: 3
Applying Artificial Intelligence in Cryptocurrency Markets: A Survey
Rasoul Amirzadeh, Asef Nazari, Dhananjay Thiruvady
Algorithms (2022) Vol. 15, Iss. 11, pp. 428-428
Open Access | Times Cited: 16
Cryptocurrency Price Prediction Using Enhanced PSO with Extreme Gradient Boosting Algorithm
Vibha Srivastava, Vijay Kumar Dwivedi, Ashutosh Kumar Singh
Cybernetics and Information Technologies (2023) Vol. 23, Iss. 2, pp. 170-187
Open Access | Times Cited: 8
A survey on ethereum pseudonymity: Techniques, challenges, and future directions
Shivani Jamwal, José Cano, Gyu Myoung Lee, et al.
Journal of Network and Computer Applications (2024) Vol. 232, pp. 104019-104019
Closed Access | Times Cited: 2
Active Learning in the Detection of Anomalies in Cryptocurrency Transactions
Leandro Cunha, Miguel A. Brito, Domingos F. Oliveira, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 4, pp. 1717-1745
Open Access | Times Cited: 4
Application of AI technology in personalized recommendation system for financial services
Xiaowen Yue
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 1
Asymmetric interactions among cutting-edge technologies and pioneering conventional and Islamic cryptocurrencies: fresh evidence from intra-day-based good and bad volatilities
حسن حیدری, David Roubaud
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Optimizing portfolios in digital finance: an integration of cryptocurrencies with conventional assets
Syeda Fizza Abbas, Muhammad Usman Sheikh Sheikh
Journal of excellence in management sciences. (2024) Vol. 3, Iss. 3, pp. 183-203
Open Access | Times Cited: 1
Cryptocurrencies Collapse – Analysis of Artificial Intelligence Applications for Countering Coin Value Fluctuations in the Crypto Market
Iskren Tairov, Nadezhda Stefanova
TEM Journal (2024), pp. 1905-1915
Open Access | Times Cited: 1
Bitcoin Trend Prediction with Attention-Based Deep Learning Models and Technical Indicators
Ming-Che Lee
Systems (2024) Vol. 12, Iss. 11, pp. 498-498
Open Access | Times Cited: 1
A two level ensemble classification approach to forecast bitcoin prices
Harish Kundra, Sudhir Sharma, P. Nancy, et al.
Kybernetes (2022) Vol. 52, Iss. 11, pp. 5041-5067
Closed Access | Times Cited: 6
Variants of Crypto-Jacking Attacks and Their Detection Techniques
P. Mercy Praise, S. Basil Xavier, Anoop Jose, et al.
Communications in computer and information science (2023), pp. 71-87
Closed Access | Times Cited: 3
TRX Cryptocurrency Profit and Transaction Success Rate Prediction Using Whale Optimization-Based Ensemble Learning Framework
Amogh Shukla, Tapan Kumar Das, Sanjiban Sekhar Roy
Mathematics (2023) Vol. 11, Iss. 11, pp. 2415-2415
Open Access | Times Cited: 3
An analysis of Artificial Intelligence and its role in the cryptocurrency
Shikha Singh
Samvakti Journal of Research in Information Technology (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Effect of risk attitude on cryptocurrency adoption for compensation and spending
Uma V. Sridharan, Fady Mansour, Lydia Ray, et al.
Journal of Financial Economic Policy (2023) Vol. 15, Iss. 4/5, pp. 337-350
Closed Access | Times Cited: 3
Hybrid Deep Learning Approach Utilizing RNN and LSTM for the Detection of DDoS Attacks Within the Bitcoin Ecosystem
Amenah Abdulabbas Almamoori, Wesam Samer Bhaya
Ingénierie des systèmes d information (2023) Vol. 28, Iss. 4, pp. 931-937
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top