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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:

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

Showing 1-25 of 31 citing articles:

Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis
Jung-Pin Lai, Ying-Lei Lin, Ho-Chuan Lin, et al.
Micromachines (2023) Vol. 14, Iss. 2, pp. 265-265
Open Access | Times Cited: 30
Machine learning techniques for stock price prediction and graphic signal recognition
Junde Chen, Yuxin Wen, Yaser A. Nanehkaran, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106038-106038
Closed Access | Times Cited: 25
A hybrid approach of wavelet transform, ARIMA and LSTM model for the share price index futures forecasting
Junting Zhang, Haifei Liu, Wei Bai, et al.
The North American Journal of Economics and Finance (2023) Vol. 69, pp. 102022-102022
Closed Access | Times Cited: 24
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: 31
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
Virtual Power Plant Management with Hybrid Energy Storage System
Mohammadreza Moghadam, Navid Ghaffarzadeh, Mehrdad Tahmasebi, et al.
Unconventional Resources (2024), pp. 100107-100107
Open Access | Times Cited: 5
Dự báo giá cổ phiếu CATL đóng cửa và các chiến lược giao dịch sử dụng XGBoost và thuật toán tối ưu hóa Optuna
Trần Bá Thuấn, Trần Thị Diệu Thuần
Tạp chí Công nghiệp Kinh tế và Quản lý (2025), Iss. 2, pp. 94-101
Closed Access
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
China’s Energy Stock Price Index Prediction Based on VECM–BiLSTM Model
Bingchun Liu, Zhang Xia, Yuan Gao, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1242-1242
Open Access
Predicting financial distress in Latin American companies: A comparative analysis of logistic regression and random forest models
Flávio Barboza, Edward I. Altman
The North American Journal of Economics and Finance (2024) Vol. 72, pp. 102158-102158
Closed Access | Times Cited: 2
Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach
Qu Yang, Yuanyuan Yu, D Dai, et al.
The North American Journal of Economics and Finance (2024) Vol. 74, pp. 102252-102252
Closed Access | Times Cited: 2
DMEformer: A newly designed dynamic model ensemble transformer for crude oil futures prediction
Chao Liu, Kaiyi Ruan, Xinmeng Ma
Heliyon (2023) Vol. 9, Iss. 6, pp. e16715-e16715
Open Access | Times Cited: 6
Do climate change risks impact clean energy stock prices? Evidence from machine learning
Syed Abul Basher, Perry Sadorsky
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 1
A performance comparison of machine learning models for stock market prediction with novel investment strategy
Azaz Hassan Khan, Abdullah Shah, Abbas M. Ali, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0286362-e0286362
Open Access | Times Cited: 4
Forecasting stock closing prices with an application to airline company data
Xu Xu, Yixiang Zhang, Clare A. McGrory, et al.
Data Science and Management (2023) Vol. 6, Iss. 4, pp. 239-246
Open Access | Times Cited: 4
A framework for stock selection via concept-oriented attention representation in hypergraph neural network
Yuxiao Yan, Changsheng Zhang, Xiaohang Li, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111326-111326
Closed Access | Times Cited: 4
The interconnectivity between green stocks, oil prices, and uncertainty surrounding economic policy: indications from the United States
Abiodun Adetokunbo, Afe Success Mevhare
SN Business & Economics (2024) Vol. 4, Iss. 2
Closed Access | Times Cited: 1
Research on public opinion effecting on stock price during crises based on model checking
Yu Ma, Peng Wu, Ling Chen, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123442-123442
Closed Access | Times Cited: 1
Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India
Bharat Kumar Meher, Manohar Singh, Ramona Birău, et al.
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 2, pp. 426-434
Open Access | Times Cited: 1
Predicting carbon and oil price returns using hybrid models based on machine and deep learning
Jesús Molina‐Muñoz, Andrés Mora‐Valencia, Javier Perote
Intelligent Systems in Accounting Finance & Management (2024) Vol. 31, Iss. 2
Closed Access | Times Cited: 1
Improving Volatility Forecasting: A Study through Hybrid Deep Learning Methods with WGAN
Adel Hassan A. Gadhi, Shelton Peiris, David E. Allen
Journal of risk and financial management (2024) Vol. 17, Iss. 9, pp. 380-380
Open Access | Times Cited: 1
Analysis of the performance of predictive models during Covid-19 and the Russian-Ukrainian war
László Vancsura, Tibor Bareith
Pénzügyi Szemle = Public Finance Quarterly (2023) Vol. 69, Iss. 2
Open Access | Times Cited: 3
Energy Price Prediction Integrated with Singular Spectrum Analysis and Long Short-Term Memory Network against the Background of Carbon Neutrality
Di Zhu, Yinghong Wang, Fenglin Zhang
Energies (2022) Vol. 15, Iss. 21, pp. 8128-8128
Open Access | Times Cited: 4
The Way to Invest: Trading Strategies Based on ARIMA and Investor Personality
Xiaoyu Tang, Sijia Xu, Hui Ye
Symmetry (2022) Vol. 14, Iss. 11, pp. 2292-2292
Open Access | Times Cited: 3
<span>Effectiveness of Random Forest Model in Predicting Stock Prices of Solar Energy Companies in India</span>
Bharat Kumar Meher, Abhishek Anand, Sunil Kumar, et al.
SSRN Electronic Journal (2024)
Closed Access
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