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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:

An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges
Santosh Sahu, Anil Mokhade, Neeraj Dhanraj Bokde
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1956-1956
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

Machine Learning Descriptors for CO2 Capture Materials
Ibrahim Orhan, Yuankai Zhao, Ravichandar Babarao, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 650-650
Open Access | Times Cited: 1
The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework
Heyam H. Al-Baity
Sustainability (2023) Vol. 15, Iss. 18, pp. 13725-13725
Open Access | Times Cited: 22
Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications
Claudia Arellano, Joseph Govan
Agronomy (2024) Vol. 14, Iss. 2, pp. 341-341
Open Access | Times Cited: 11
Accurate Wheat Yield Prediction Using Machine Learning and Climate-NDVI Data Fusion
Muhammad Ashfaq, Imran Khan, Abdulrahman Alzahrani, et al.
IEEE Access (2024) Vol. 12, pp. 40947-40961
Open Access | Times Cited: 9
Time domain speech enhancement with CNN and time-attention transformer
Nasir Saleem, Teddy Surya Gunawan, Sami Dhahbi, et al.
Digital Signal Processing (2024) Vol. 147, pp. 104408-104408
Open Access | Times Cited: 8
Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm
Ankush D. Sawarkar, Deepti D. Shrimankar, Sarvat Ali, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1023-1023
Open Access | Times Cited: 6
Advancing UAV security with artificial intelligence: A comprehensive survey of techniques and future directions
Fadhila Tlili, Samiha Ayed, Lamia Chaari Fourati
Internet of Things (2024) Vol. 27, pp. 101281-101281
Closed Access | Times Cited: 6
Machine learning in financial forecasting: A U.S. review: Exploring the advancements, challenges, and implications of AI-driven predictions in financial markets
Odeyemi Olubusola, Noluthando Zamanjomane Mhlongo, Donald Obinna Daraojimba, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1969-1984
Open Access | Times Cited: 5
A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Ibomoiye Domor Mienye, Theo G. Swart
Information (2024) Vol. 15, Iss. 12, pp. 755-755
Open Access | Times Cited: 5
Machine learning-based cloud security system with multi authentication for data classification in Financial Sectors
P. V. Chandrika, Sandeep Kelkar, Bijith Marakarkandy, et al.
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Optimizing portfolio selection through stock ranking and matching: A reinforcement learning approach
Chaher Alzaman
Expert Systems with Applications (2025), pp. 126430-126430
Closed Access
A Comprehensive Investigation of Reinforcement Learning-based Financial Quantitative Analysis: Taking Stock Trading and Risk Control as Examples
Yifei Zeng
ITM Web of Conferences (2025) Vol. 73, pp. 01010-01010
Open Access
Autonomous Navigation Techniques for Mobile Robots in Complex Environments: A Review
Hala Elhadidy, Aya Abdelhady Deaf, Rawya Rizk, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 232-243
Closed Access
Using Stacked Generalization Model in Stock Price Forecasting: A Comparative Analysis on BIST100 Index
Ahmed İhsan Şimşek
Fiscaoeconomia (2025) Vol. 9, Iss. 1, pp. 305-322
Open Access
An Explainable Scheme for Memorization of Noisy Instances by Downstream Evaluation
Chun-Yi Tsai, Pascale Tsai, Yeonjoon Chung
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2392-2392
Open Access
Emulating fundamental analysts: Analytical stage-based multi-agent framework enhanced with expert guidance and Preference-Anchored Likelihood Adjustment
Tao Xu, Zhe Piao, Toshiharu Mukai, et al.
Intelligent Systems with Applications (2025), pp. 200496-200496
Open Access
Optimizing financial modeling with machine learning: integrating particle swarm optimization for enhanced predictive analytics
Ashish Jha, Sumit Maheshwari, Pankaj Dutta, et al.
Journal of Business Analytics (2025), pp. 1-20
Closed Access
A Deep-Reinforcement-Learning-Based Multi-Source Information Fusion Portfolio Management Approach via Sector Rotation
Yuxiao Yan, Changsheng Zhang, Yang An, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 1036-1036
Open Access
A review of image-based deep learning methods for crack detection
Vindhyesh Pandey, Shambhu Sharan Mishra
Multimedia Tools and Applications (2025)
Closed Access
Deep-SDM: A Unified Computational Framework for Sequential Data Modeling Using Deep Learning Models
Nawa Raj Pokhrel, Keshab R. Dahal, Ramchandra Rimal, et al.
Software (2024) Vol. 3, Iss. 1, pp. 47-61
Open 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
A Comprehensive Survey on the Integration of Reinforcement Learning and NLP for Stock Market Trading
Brian Ferrell, Bridget T. McInnes
(2025)
Closed Access
Economic implications of enhanced stock market analysis using improved forecasting methods
Jason Peng, Yuming Yang
Expert Systems with Applications (2025), pp. 127240-127240
Closed Access
Hybrid wavelet-neural network models for time series
Deniz Kenan Kılıç, Ömür Uğur
Applied Soft Computing (2023) Vol. 144, pp. 110469-110469
Open Access | Times Cited: 11
Deep Reinforcement Learning Robots for Algorithmic Trading: Considering Stock Market Conditions and U.S. Interest Rates
Ji-Heon Park, Jaehwan Kim, Jun‐Ho Huh
IEEE Access (2024) Vol. 12, pp. 20705-20725
Open Access | Times Cited: 3
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