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: 65

Showing 26-50 of 65 citing articles:

Multi-period mean–variance portfolio selection with real constraints based on machine learning
Shulin Cui, Peng Zhang
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1

Predictive multi-period multi-objective portfolio optimization based on higher order moments: Deep learning approach
Shaghayegh Abolmakarem, Farshid Abdi, Kaveh Khalili‐Damghani, et al.
Computers & Industrial Engineering (2023) Vol. 183, pp. 109450-109450
Closed Access | Times Cited: 4

Portfolio optimization with mental accounts under uncertain random environment and butterfly optimization algorithm with adaptive strategies
Bo Li, Yayi Huang
Applied Soft Computing (2024) Vol. 161, pp. 111720-111720
Closed Access | Times Cited: 1

Resilient Portfolio Optimization using Traditional and Data-Driven Models for Cryptocurrencies and Stocks
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 1343-1348
Closed Access | Times Cited: 2

Optimal stock allocation for an automated portfolio recommender system in the perspective of maximum fund utilization
Anwesha Sengupta, Protyush Jana, Prasanta Narayan Dutta, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122857-122857
Closed Access | Times Cited: 2

Harnessing Cognitively Inspired Predictive Models to Improve Investment Decision-Making
Vincenzo Carandente, Giancarlo Sperlì
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1237-1252
Open Access

Ensemble intelligence algorithms and soil environmental quality to model economic quantity of land resource allocation and spatial inequality
Feng Gao, Shiyi Yi, Xiaonuo Li, et al.
Land Use Policy (2024) Vol. 141, pp. 107147-107147
Closed Access

Bridging Bollinger Bands and Machine Learning in SET100 Stock Trading Strategies
Palod Chanrungmaneekul, Juthathip Phuangbut, Rujira Chaysiri
(2024), pp. 51-56
Closed Access

Kernel multi-granularity double-quantitative rough set based on ensemble empirical mode decomposition: Application to stock price trends prediction
Lin Zhang, Juncheng Bai, Bingzhen Sun, et al.
International Journal of Approximate Reasoning (2024) Vol. 172, pp. 109217-109217
Closed Access

A Realistic Method for Multi-Asset Fused Personalized Portfolio Optimization
Yuyang Bai, Changsheng Zhang, Shijia Wang, et al.
(2024)
Closed Access

A Quantum-Inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network
Yao–Hsin Chou, Yun-Ting Lai, Yong Feng Tong, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 01-08
Closed Access

Portfolio constructions in the stock market based on data envelopment analysis and stochastic frontier analysis
Тамара Теплова, Tatiana Sokolova, A. I. Haniev
Economics and Mathematical Methods (2024) Vol. 60, Iss. 2, pp. 123-138
Closed Access

Fusion of Wavelet Decomposition and N-BEATS for Improved Stock Market Forecasting
Neha Pramanick, Vatsal Singhal, Neeraj Neeraj, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access

HDML: hybrid data-driven multi-task learning for China’s stock price forecast
Weiqiang Xu, Yang Liu, Wenjie Liu, et al.
Applied Intelligence (2024)
Closed Access

Unleashing the Possibilities of Play: Analyzing the positive and negative consequences of multiplayer online gaming
Ajit Kumar Pasayat, Mihir Shrestha, Progga Parmita Priya
Entertainment Computing (2024) Vol. 52, pp. 100898-100898
Closed Access

MLBGK: A Novel Feature Fusion Model for Forecasting Stocks Prices
Yonghong Li, Zhixian Li, Yuting Chen, et al.
Computational Economics (2024)
Closed Access

Enhancing Mutual Fund Price Prediction: A Hybrid Ensemble Approach with Random Forest, SVR, Ridge, and Gradient Boosting Regressors
Sanjay Kumar, M. Srivastava, Vijay Prakash
Advances in intelligent systems and computing (2024), pp. 551-566
Closed Access

Investment Portfolio Optimization In Infrastructure Stocks Using The Mean-VaR Risk Tolerance Model
Arla Aglia Yasmin, Riaman Riaman, Sukono Sukono
International Journal of Quantitative Research and Modeling (2024) Vol. 5, Iss. 1, pp. 74-82
Open Access

A Method for Assessing Financial Market Price Behavior: An Analysis of the Shanghai Stock Exchange Index
Zhi Huang, Jiansheng Li
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access

A portfolio investment strategy of financial products with statistical machine learning
Xiaorong Liu
Highlights in Business Economics and Management (2024) Vol. 27, pp. 467-474
Open Access

An Efficient Auto Regressive Integrated Moving Average Model for AAPL, MSFT, NTFX, and GOOGL Stock Price Prediction
Nikarika, Vinay Kukreja, Nitin Thapliyal, et al.
(2024), pp. 1-5
Closed Access

Xgboost and Shap-Based Precipitation Threshold Identification for Hazard Assessment Slope Unit
Haijia Wen, Fangyi Yan, Junhao Huang, et al.
(2024)
Closed Access

Dynamic spillovers of green, brown, and financial industries under the low-carbon transition: Evidence from China
Wenjing He, Xiaoyang Yao, Xiaolei Sun, et al.
Energy Economics (2024), pp. 107901-107901
Closed Access

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