Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A Random Forests Approach to Predicting Clean Energy Stock Prices
Perry Sadorsky
Journal of risk and financial management (2021) Vol. 14, Iss. 2, pp. 48-48
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests
Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo
Finance research letters (2021) Vol. 46, pp. 102280-102280
Open Access | Times Cited: 125
Survey of feature selection and extraction techniques for stock market prediction
Htet Htet Htun, Michael Biehl, Nicolai Petkov
Financial Innovation (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 104
Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications
Gaurang Sonkavde, Deepak Dharrao, Anupkumar M. Bongale, et al.
International Journal of Financial Studies (2023) Vol. 11, Iss. 3, pp. 94-94
Open Access | Times Cited: 74
A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach
Pham Hoang Vuong, Lam Hung Phu, Tran Hong Van Nguyen, et al.
Science Progress (2024) Vol. 107, Iss. 1
Open Access | Times Cited: 10
Predicting Gold and Silver Price Direction Using Tree-Based Classifiers
Perry Sadorsky
Journal of risk and financial management (2021) Vol. 14, Iss. 5, pp. 198-198
Open Access | Times Cited: 48
Forecasting solar stock prices using tree-based machine learning classification: How important are silver prices?
Perry Sadorsky
The North American Journal of Economics and Finance (2022) Vol. 61, pp. 101705-101705
Closed Access | Times Cited: 31
Using machine learning to predict clean energy stock prices: How important are market volatility and economic policy uncertainty?
Perry Sadorsky
Journal of Climate Finance (2022) Vol. 1, pp. 100002-100002
Closed Access | Times Cited: 30
Forecasting stock prices of fintech companies of India using random forest with high-frequency data
Bharat Kumar Meher, Manohar Singh, Ramona Birău, et al.
Journal of Open Innovation Technology Market and Complexity (2023) Vol. 10, Iss. 1, pp. 100180-100180
Open Access | Times Cited: 16
On Stock Volatility Forecasting under Mixed-Frequency Data Based on Hybrid RR-MIDAS and CNN-LSTM Models
Wenfeng Ma, Yuxuan Hong, Yuping Song
Mathematics (2024) Vol. 12, Iss. 10, pp. 1538-1538
Open Access | Times Cited: 7
Green Bond Index Prediction Based on CEEMDAN-LSTM
Jiaqi Wang, Jiulin Tang, Kun Guo
Frontiers in Energy Research (2022) Vol. 9
Open Access | Times Cited: 23
Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations
Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, et al.
(2023)
Open Access | Times Cited: 14
Forecasting rare earth stock prices with machine learning
Irene Henriques, Perry Sadorsky
Resources Policy (2023) Vol. 86, pp. 104248-104248
Closed Access | Times Cited: 13
CCFD: Efficient Credit Card Fraud Detection Using Meta-Heuristic Techniques and Machine Learning Algorithms
Diana T. Mosa, Shaymaa E. Sorour, Amr A. Abohany, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2250-2250
Open Access | Times Cited: 5
CATL's stock price forecasting and its derived option pricing: a novel extended fNSDE-net method
Qi Xiao, Tianyao Duan, Lihua Wang, et al.
AIMS Mathematics (2025) Vol. 10, Iss. 2, pp. 2444-2465
Open Access
Forecasting Covered Call Exchange-Traded Funds (ETFs) Using Time Series, Machine Learning, and Deep Learning Models
Chigozie Andy Ngwaba
Journal of risk and financial management (2025) Vol. 18, Iss. 3, pp. 120-120
Open Access
AT-FinGPT: Financial risk prediction via an audio-text large language model
Yongmin Zhang, Ningbo Bu, Zhiqiang Li, et al.
Finance research letters (2025), pp. 106967-106967
Closed Access
Wavelet Denoising and Double-Layer Feature Selection for Stock Trend Prediction
Yong Zhang, Jianping Qin, BingXue Lin, et al.
Computational Economics (2025)
Closed Access
Estimation of energy production of solar panels installed in agricultural areas with machine learning algorithms
Taşkın Tez, Erhan Akyol
International Journal of Agriculture Environment and Food Sciences (2025) Vol. 9, Iss. 1, pp. 221-232
Open Access
Big data-driven corporate financial forecasting and decision support: a study of CNN-LSTM machine learning models
Aixiang Yang
Frontiers in Applied Mathematics and Statistics (2025) Vol. 11
Open Access
Using Market News Sentiment Analysis for Stock Market Prediction
Marian Pompiliu Cristescu, Raluca Andreea Nerișanu, Dumitru Alexandru Mara, et al.
Mathematics (2022) Vol. 10, Iss. 22, pp. 4255-4255
Open Access | Times Cited: 19
Clean energy stock price forecasting and response to macroeconomic variables: A novel framework using Facebook's Prophet, NeuralProphet and explainable AI
Indranil Ghosh, Rabin K. Jana
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123148-123148
Closed Access | Times Cited: 11
Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
Sami Saeed Binyamin, Sami Ben Slama
Sensors (2022) Vol. 22, Iss. 21, pp. 8099-8099
Open Access | Times Cited: 18
Can Ensemble Machine Learning Methods Predict Stock Returns for Indian Banks Using Technical Indicators?
Sabyasachi Mohapatra, Rohan Mukherjee, Arindam Roy, et al.
Journal of risk and financial management (2022) Vol. 15, Iss. 8, pp. 350-350
Open Access | Times Cited: 16
Analysis of Atmospheric Pollutants and Meteorological Factors on PM2.5 Concentration and Temporal Variations in Harbin
Xiuyan Gao, Zhaohui Ruan, Jiemei Liu, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1426-1426
Open Access | Times Cited: 16
The role of artificial intelligence in the decision-making process: a study on the financial analysis and movement forecasting of the world’s largest stock exchanges
Ewerton Alex Avelar, Ricardo Vinícius Dias Jordão
Management Decision (2024)
Closed Access | Times Cited: 3
Page 1 - Next Page

Scroll to top