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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:

Multi-period portfolio optimization using a deep reinforcement learning hyper-heuristic approach
Tianxiang Cui, Nanjiang Du, Xiaoying Yang, et al.
Technological Forecasting and Social Change (2023) Vol. 198, pp. 122944-122944
Open Access | Times Cited: 20

Showing 20 citing articles:

Optimizing quay crane scheduling using deep reinforcement learning with hybrid metaheuristic algorithm
Le Ngoc Bao Long, Sam–Sang You, Truong Ngoc Cuong, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110021-110021
Closed Access | Times Cited: 1
Container port truck dispatching optimization using Real2Sim based deep reinforcement learning
Jiahuan Jin, Tianxiang Cui, Ruibin Bai, et al.
European Journal of Operational Research (2023) Vol. 315, Iss. 1, pp. 161-175
Open Access | Times Cited: 16
An asset subset-constrained minimax optimization framework for online portfolio selection
Jianfei Yin, Anyang Zhong, Xiaomian Xiao, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124299-124299
Open Access | Times Cited: 6
Can deep reinforcement learning beat 1N
Garvin Kruthof, Sebastian Müller
Finance research letters (2025), pp. 106866-106866
Open Access
High-dimensional multi-period portfolio allocation using deep reinforcement learning
Yifu Jiang, José Olmo, Majed Atwi
International Review of Economics & Finance (2025), pp. 103996-103996
Open Access
A multi-objective multi-period efficient portfolio selection approach for positive and negative returns using RDM-DEA under credibilistic framework
Arun Kumar, Sanjay Yadav
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 14114-14125
Closed Access | Times Cited: 1
Hybrid Data-Driven and Deep Learning Based Portfolio Optimization
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, et al.
Journal of Mathematical Finance (2024) Vol. 14, Iss. 03, pp. 271-310
Open Access | Times Cited: 1
A review of reinforcement learning based hyper-heuristics
Cui-Xia Li, Xiang Wei, Jing Wang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2141-e2141
Open Access | Times Cited: 1
Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach
Tianxiang Cui, Xiaoying Yang, Fuhua Jia, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 124959-124959
Open Access | Times Cited: 1
Deep Reinforcement Learning in Stock Trading: Evaluating DDPG and DQN Strategies
Nithin Kodurupaka, H M Basavadeepthi, Shiva Teja Pecheti, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-7
Closed Access
Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning
Y. M. Li, Nanjiang Du, Xingke Song, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 17, pp. 1-8
Closed Access
Artificial Intelligence in Portfolio Selection Problem: A Review and Future Perspectives
Álvaro Sánchez-Fernández, Javier Díez-González, Hilde Pérez
Lecture notes in computer science (2024), pp. 252-264
Closed Access
Portfolio Optimization During the COVID-19 Epidemic: Based on an Improved QBAS Algorithm and a Dynamic Mixed Frequency Model
Siyao Wei, Pengfei Luo, Jiashan Song, et al.
Computational Economics (2024)
Closed Access
Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation
Xiaoying Yang, Yujing Gu, Fuhua Jia, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-9
Closed Access
A Time Window Sequence-Based Evolutionary Algorithm for Solving Large-Scale Daily Task Planning Problems
Peng Wu, Shuai Shao
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Dynamic Portfolio Management Using Multi-Model Reinforcement Learning
Naveenkumar Vodnala, Padmasai Yarlagadda, Posani Vamsikrishna, et al.
(2024), pp. 1-4
Closed Access
Economic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual Framework
Patrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik Faturohman
Journal of Computer Science (2024) Vol. 20, Iss. 10, pp. 1291-1309
Open Access
An End-to-end Framework for Few-shot Millimeter-wave Radar-based Hand Gesture Recognition
Yulin Ye, Tianxiang Cui, Shisheng Guo, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 27, pp. 1-8
Closed Access
A Multi Period Portfolio Optimization: Incorporating Stochastic Predictions and Heuristic Algorithms
Seyedeh Asra Ahmadi, Peiman Ghasemi
Applied Soft Computing (2024), pp. 112662-112662
Closed Access
Improving sentiment analysis on PeduliLindungi comments: a comparative study with CNN-Word2Vec and integrated negation handling
Herlina Jayadianti, Berliana Andra Arianti, Nur Heri Cahyana, et al.
Science in Information Technology Letters (2023) Vol. 4, Iss. 2, pp. 75-89
Open Access
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