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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:

Prediction based mean-value-at-risk portfolio optimization using machine learning regression algorithms for multi-national stock markets
Jyotirmayee Behera, Ajit Kumar Pasayat, Harekrushna Behera, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105843-105843
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Photocatalytic degradation of drugs and dyes using a maching learning approach
Ganesan Anandhi, M. Iyapparaja
RSC Advances (2024) Vol. 14, Iss. 13, pp. 9003-9019
Open Access | Times Cited: 22
An artificial intelligence study on energy, exergy, and environmental aspects of upcycling face mask waste to a hydrogen-rich syngas through a thermal conversion process
Parisa Mojaver, Shahram Khalilarya
Process Safety and Environmental Protection (2024) Vol. 187, pp. 1189-1200
Closed Access | Times Cited: 20
An exploratory data analysis approach for analyzing financial accounting data using machine learning
Potta Chakri, Saurabh Pratap, Lakshay, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100212-100212
Open Access | Times Cited: 27
The impact of oil and global markets on Saudi stock market predictability: A machine learning approach
Hussein A. Abdou, Ahmed A. Elamer, Mohammad Zoynul Abedin, et al.
Energy Economics (2024) Vol. 132, pp. 107416-107416
Open Access | Times Cited: 17
Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III
Mengzheng Lv, Jianzhou Wang, Shuai Wang, et al.
Information Sciences (2024) Vol. 670, pp. 120549-120549
Closed Access | Times Cited: 13
Enhancing the exploitation of natural resources for green energy: An application of LSTM-based meta-model for aluminum prices forecasting
Moses Olabhele Esangbedo, Blessing Olamide Taiwo, Hawraa H. Abbas, et al.
Resources Policy (2024) Vol. 92, pp. 105014-105014
Closed Access | Times Cited: 12
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 | Times Cited: 1
Applying the water quality indices, geographical information system, and advanced decision-making techniques to assess the suitability of surface water for drinking purposes in Brahmani River Basin (BRB), Odisha
Abhijeet Das
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 1
Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights
T. Vamsi Nagaraju, Govindasamy Bala, Sridevi Bonthu, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167386-167386
Closed Access | Times Cited: 14
Machine learning for polyphenol-based materials
Shengxi Jiang, Peiji Yang, Yujia Zheng, et al.
Smart Materials in Medicine (2024) Vol. 5, Iss. 2, pp. 221-239
Open Access | Times Cited: 6
An Advisor Neural Network framework using LSTM-based Informative Stock Analysis
Fausto Ricchiuti, Giancarlo Sperlí
Expert Systems with Applications (2024) Vol. 259, pp. 125299-125299
Open Access | Times Cited: 5
Clustering-based return prediction model for stock pre-selection in portfolio optimization using PSO-CNN+MVF
Mahdi Ashrafzadeh, Hasan Taheri, Mahmoud Gharehgozlou, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 9, pp. 101737-101737
Open Access | Times Cited: 13
Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning
Yunan Song, Huaqing Du, Tianyu Piao, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-24
Open Access | Times Cited: 4
Portfolio Rebalancing Model Utilizing Support Vector Machine for Optimal Asset Allocation
Bhagawan Sahu, Pankaj Kumar
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 4
Two-stage stock portfolio optimization based on AI-powered price prediction and mean-CVaR models
Chia‐Hung Wang, Yingping Zeng, Jinchen Yuan
Expert Systems with Applications (2024) Vol. 255, pp. 124555-124555
Closed Access | Times Cited: 4
Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method
Shangkun Deng, Qunfang Luo, Yingke Zhu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108842-108842
Closed Access | Times Cited: 4
An approach to portfolio optimization with time series forecasting algorithms and machine learning techniques
Jyotirmayee Behera, Pankaj Kumar
Applied Soft Computing (2025), pp. 112741-112741
Closed Access
Stock Forecasting Using LSTM Neural Networks
S. Paul, Sarvesh Tanwar
Lecture notes in networks and systems (2025), pp. 349-361
Closed Access
Unraveling asset pricing with AI: A systematic literature review
Yan Chen, Lin Zhang, Zhilong Xie, et al.
Applied Soft Computing (2025), pp. 112978-112978
Closed Access
Predictive Analytics for Sustainable Energy: An In-depth Assessment of Novel Stacking Regressor Model in the Off-Grid Hybrid Renewable Energy Systems
Yangbing Zheng, Xu Zhou, Jiantao Yu, et al.
Energy (2025), pp. 135916-135916
Closed Access
Deep Reinforcement Learning-Driven Intelligent Portfolio Management with Green Computing: Sustainable Portfolio Optimization and Management
Yi Xu
Sustainable Computing Informatics and Systems (2025), pp. 101125-101125
Closed Access
Transformer-Based Quantum Error Decoding Enhanced by QGANs: Towards Scalable Surface Code Correction Algorithms
Chushun Tian, Zhe-Cheng Fan, Xiaoxuan Guo, et al.
Research Square (Research Square) (2025)
Closed Access
Max-one selection of equity prediction models for portfolio construction
Chariton Chalvatzis, Dimitrios Hristu‐Varsakelis
Engineering Applications of Artificial Intelligence (2025) Vol. 153, pp. 110694-110694
Open Access
Intelligent Many-objective portfolio optimization using hybrid deep learning and evolutionary algorithm approach for advanced decision-making
N.K. Joshi, Jayesh M. Dhodiya
Computers & Industrial Engineering (2025), pp. 111159-111159
Closed Access
Evolutionary Computation for Sparse Multi-Objective Optimization: A Survey
Shuai Shao, Ye Tian, Yajie Zhang, et al.
ACM Computing Surveys (2025)
Closed Access
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