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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:

Stock Index Prediction Based on Time Series Decomposition and Hybrid Model
Pin Lv, Qinjuan Wu, Jia Xu, et al.
Entropy (2022) Vol. 24, Iss. 2, pp. 146-146
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges
Santosh Sahu, Anil Mokhade, Neeraj Dhanraj Bokde
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1956-1956
Open Access | Times Cited: 89
Profit-driven weighted classifier with interpretable ability for customer churn prediction
Ping Jiang, Zhenkun Liu, Mohammad Zoynul Abedin, et al.
Omega (2024) Vol. 125, pp. 103034-103034
Closed Access | Times Cited: 37
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
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
Modal decomposition-based hybrid model for stock index prediction
Pin Lv, Yating Shu, Jia Xu, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117252-117252
Closed Access | Times Cited: 35
Forecasting relative returns for S&P 500 stocks using machine learning
Htet Htet Htun, Michael Biehl, Nicolai Petkov
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
The global cooperation in asteroid mining based on AHP, entropy and TOPSIS
Ruilin Fan, Hanlu Zhang, Yi Qin Gao
Applied Mathematics and Computation (2022) Vol. 437, pp. 127535-127535
Closed Access | Times Cited: 22
Incorporating causal notions to forecasting time series: a case study
Werner Kristjanpoller, Kevin Michell, Cristian Llanos, et al.
Financial Innovation (2025) Vol. 11, Iss. 1
Open Access
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
A Hybrid Oil Production Prediction Model Based on Artificial Intelligence Technology
Xiangming Kong, Yuetian Liu, Liang Xue, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1027-1027
Open Access | Times Cited: 10
Combination prediction of underground mine rock drilling time based on seasonal and trend decomposition using Loess
LI Nin, Ding Liu, Liguan Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108064-108064
Closed Access | Times Cited: 3
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e1852-e1852
Open Access | Times Cited: 3
Multi level perspectives in stock price forecasting: ICE2DE-MDL
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e2125-e2125
Open Access | Times Cited: 3
Information flow dynamics between geopolitical risk and major asset returns
Zaghum Umar, Ahmed Bossman, Sun‐Yong Choi, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284811-e0284811
Open Access | Times Cited: 8
Predicting Shariah Stock Market Indices with Machine Learning: A Cross-Country Case Study
Dini Anggreini Khairunnisa, Ahmad Rodoni, Ali Rama
Jurnal Ekonomi Syariah Teori dan Terapan (2024) Vol. 11, Iss. 1, pp. 86-104
Open Access | Times Cited: 2
Preptimize: Automation of Time Series Data Preprocessing and Forecasting
Mehak Usmani, Zulfiqar A. Memon, Adil Zulfiqar, et al.
Algorithms (2024) Vol. 17, Iss. 8, pp. 332-332
Open Access | Times Cited: 2
CEGH: A Hybrid Model Using CEEMD, Entropy, GRU, and History Attention for Intraday Stock Market Forecasting
YI-JIAO LIU, Xinghua Liu, Yuxin Zhang, et al.
Entropy (2022) Vol. 25, Iss. 1, pp. 71-71
Open Access | Times Cited: 12
Deep Learning techniques for stock market forecasting: Recent trends and challenges
Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay
(2023), pp. 1-11
Closed Access | Times Cited: 6
Improving Prediction of Bursa Malaysia Stock Index Using Time Series and Deep Learning Hybrid Model
Abang Mohammad Hudzaifah Abang Shakawi, Ani Shabri
Lecture notes on data engineering and communications technologies (2024), pp. 119-128
Closed Access | Times Cited: 1
Stock index forecasting using DACLAMNN: A new intelligent highly accurate hybrid ACLSTM/Markov neural network predictor
Ashkan Safari, Mohammad Ali Badamchizadeh
Cognitive Computation and Systems (2023) Vol. 5, Iss. 3, pp. 181-194
Open Access | Times Cited: 3
Exchange Stock Price Prediction using Time Series data: A Survey
Hamid Ghous, Mubasher Malik, Ayesha Mahrukh, et al.
Pakistan Journal of Humanities and Social Sciences (2023) Vol. 11, Iss. 2
Open Access | Times Cited: 2
Stock Price Movement Classification Using Ensembled Model of Long Short-Term Memory (LSTM) and Random Forest (RF)
Albertus Emilio Kurniajaya Gunawan, Antoni Wibowo
JOIV International Journal on Informatics Visualization (2023) Vol. 7, Iss. 4, pp. 2255-2255
Open Access | Times Cited: 2
Time Series Prediction: Comparative Study of ML Models in the Stock Market
Gaurav Goverdhan, Sarthak Khare, R Manoov
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Enhanced stock price forecasting through a regularized ensemble framework with graph convolutional networks
Dongbo Ma, Yuan Da
Expert Systems with Applications (2024) Vol. 250, pp. 123948-123948
Closed Access
Forecasting the VN30 Index: Insights into Vietnam’s Stock Market Trends
Tetiana Paientko
Strategies in Accounting and Management (2024) Vol. 4, Iss. 5
Open Access
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