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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:

Deep reinforcement learning based trading agents: Risk curiosity driven learning for financial rules-based policy
Badr Hirchoua, Brahim Ouhbi, Bouchra Frikh
Expert Systems with Applications (2021) Vol. 170, pp. 114553-114553
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

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
A data-driven strategy using long short term memory models and reinforcement learning to predict building electricity consumption
Xinlei Zhou, Wenye Lin, Ritunesh Kumar, et al.
Applied Energy (2021) Vol. 306, pp. 118078-118078
Closed Access | Times Cited: 57
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 8
Shrinkage estimation with reinforcement learning of large variance matrices for portfolio selection
Giulio Mattera, Raffaele Mattera
Intelligent Systems with Applications (2023) Vol. 17, pp. 200181-200181
Open Access | Times Cited: 13
A taxonomy of literature reviews and experimental study of deepreinforcement learning in portfolio management
Mohadese Rezaei, Hossein Nezamabadi‐pour
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
Curiosity killed the cat? From a masculinized ‘frontier mindset’ to ethical curiosity in AI engineering
Eleanor Drage
AI & Society (2025)
Open Access
Stock market trading via actor-critic reinforcement learning and adaptable data structure
César Guevara
PeerJ Computer Science (2025) Vol. 11, pp. e2690-e2690
Open Access
Algorithmic trading using continuous action space deep reinforcement learning
Naseh Majidi, Mahdi Shamsi, Farokh Marvasti
Expert Systems with Applications (2023) Vol. 235, pp. 121245-121245
Open Access | Times Cited: 12
Dynamic portfolio rebalancing through reinforcement learning
Qing Yang Eddy Lim, Qi Cao, Chai Quek
Neural Computing and Applications (2021) Vol. 34, Iss. 9, pp. 7125-7139
Open Access | Times Cited: 26
Deep Reinforcement Learning for Trading—A Critical Survey
Adrian Millea
Data (2021) Vol. 6, Iss. 11, pp. 119-119
Open Access | Times Cited: 24
Deep Reinforcement Learning-Based Driving Strategy for Avoidance of Chain Collisions and Its Safety Efficiency Analysis in Autonomous Vehicles
Abu Jafar Md Muzahid, Syafiq Fauzi Kamarulzaman, Md. Arafatur Rahman, et al.
IEEE Access (2022) Vol. 10, pp. 43303-43319
Open Access | Times Cited: 17
AdaBoost maximum entropy deep inverse reinforcement learning with truncated gradient
Li Song, Dazi Li, Xiao Wang, et al.
Information Sciences (2022) Vol. 602, pp. 328-350
Closed Access | Times Cited: 11
UNSURE - A machine learning approach to cryptocurrency trading
Vasileios Kochliaridis, A. Papadopoulou, Ioannis Vlahavas
Applied Intelligence (2024) Vol. 54, Iss. 7, pp. 5688-5710
Closed Access | Times Cited: 1
Explainable AI for Improved Financial Decision Support in Trading
Ashima Kalra, Ruchi Mittal
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-6
Closed Access | Times Cited: 1
Personalized Learning Resource Push Evaluation Considering Image Big Data Processing Technology
Dafei Wu
Informatica (2024) Vol. 48, Iss. 8
Open Access | Times Cited: 1
Portfolio construction using explainable reinforcement learning
Daniel González Cortés, Enrique Onieva, Iker Pastor, et al.
Expert Systems (2024) Vol. 41, Iss. 11
Open Access | Times Cited: 1
Revolutionising Financial Portfolio Management: The Non-Stationary Transformer’s Fusion of Macroeconomic Indicators and Sentiment Analysis in a Deep Reinforcement Learning Framework
Yuchen Liu, Daniil Mikriukov, Owen Christopher Tjahyadi, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 274-274
Open Access | Times Cited: 4
Deep Reinforcement Learning For Trading - A Critical Survey
Adrian Millea
(2021)
Open Access | Times Cited: 9
Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review
Mohsen Khani, Shahram Jamali, Mohammad Karim Sohrabi, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 35, Iss. 1
Closed Access | Times Cited: 3
Dirichlet Policies for Reinforced Factor Portfolios
Eric André, Guillaume Coqueret
SSRN Electronic Journal (2020)
Open Access | Times Cited: 8
LSTM-DDPG for Trading with Variable Positions
Zhichao Jia, Qiang Gao, Xiaohong Peng
Sensors (2021) Vol. 21, Iss. 19, pp. 6571-6571
Open Access | Times Cited: 7
Rules Based Policy for Stock Trading: A New Deep Reinforcement Learning Method
Badr Hirchoua, Brahim Ouhbi, Bouchra Frikh
(2020), pp. 1-6
Closed Access | Times Cited: 7
An Early Control Algorithm of Corporate Financial Risk Using Artificial Neural Networks
Jing Li
Mobile Information Systems (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 4
Machine Learning Data Markets: Trading Data using a Multi-Agent System
Hajar Baghcheband, Carlos Soares, Luís Paulo Reis
(2022), pp. 450-457
Closed Access | Times Cited: 3
Deep Reinforcement Learning Based Optimization and Risk Control of Trading Strategies
Mengrui Bao
Deleted Journal (2024) Vol. 20, Iss. 5s, pp. 241-252
Open Access
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