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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:

A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction
Dingming Wu, Xiaolong Wang, Shaocong Wu
Entropy (2021) Vol. 23, Iss. 4, pp. 440-440
Open Access | Times Cited: 38

Showing 1-25 of 38 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
Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting
Xue‐Bo Jin, Zhong-Yao Wang, Wen-Tao Gong, et al.
Mathematics (2023) Vol. 11, Iss. 4, pp. 837-837
Open Access | Times Cited: 46
Forecasting stock market for an efficient portfolio by combining XGBoost and Hilbert–Huang​ transform
Arsalan Dezhkam, Mohammad Taghi Manzuri
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105626-105626
Closed Access | Times Cited: 55
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
An adaptive feature selection schema using improved technical indicators for predicting stock price movements
Gang Ji, Jingmin Yu, Kai Hu, et al.
Expert Systems with Applications (2022) Vol. 200, pp. 116941-116941
Closed Access | Times Cited: 29
Construction of stock portfolios based on k-means clustering of continuous trend features
Dingming Wu, Xiaolong Wang, Shaocong Wu
Knowledge-Based Systems (2022) Vol. 252, pp. 109358-109358
Closed Access | Times Cited: 27
Discrete Wavelet Transform-based feature engineering for stock market prediction
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
International Journal of Information Technology (2023) Vol. 15, Iss. 2, pp. 1179-1188
Closed Access | Times Cited: 15
A hybrid neural network and optimization algorithm for forecasting and trend detection of Forex market indices
Someswari Perla, Ranjeeta Bisoi, P.K. Dash
Decision Analytics Journal (2023) Vol. 6, pp. 100193-100193
Open Access | Times Cited: 13
A novel workflow including denoising and hybrid deep learning model for shield tunneling construction parameter prediction
Yuxian Zhang, Xuhua Ren, Jixun Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108103-108103
Closed Access | Times Cited: 5
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights
P. Syamala Rao, G. Parthasaradhi Varma, Durga Prasad Chinta, et al.
Computational Economics (2025)
Closed Access
Multi-feature stock price prediction by LSTM networks based on VMD and TMFG
Zhixin Zhang, Qingyang Liu, Yanrong Hu, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Comparative Analysis of Recurrent Neural Networks in Stock Price Prediction for Different Frequency Domains
Polash Dey, Emam Hossain, Md. Ishtiaque Hossain, et al.
Algorithms (2021) Vol. 14, Iss. 8, pp. 251-251
Open Access | Times Cited: 28
Performance comparison of wavelets-based machine learning technique for forecasting agricultural commodity prices
Ranjit Kumar Paul, Sandip Garai
Soft Computing (2021) Vol. 25, Iss. 20, pp. 12857-12873
Closed Access | Times Cited: 27
A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction
Dingming Wu, Xiaolong Wang, Shaocong Wu
Expert Systems with Applications (2022) Vol. 207, pp. 118006-118006
Open Access | Times Cited: 21
Surface-Enhanced Raman Scattering Spectroscopy Combined With Chemical Imaging Analysis for Detecting Apple Valsa Canker at an Early Stage
Shiyan Fang, Yanru Zhao, Yan Wang, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 20
A comparative online sales forecasting analysis: Data mining techniques
Bo Zhang, Ming‐Lang Tseng, Lili Qi, et al.
Computers & Industrial Engineering (2022) Vol. 176, pp. 108935-108935
Closed Access | Times Cited: 16
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: 3
A Multilevel Wavelet Decomposition Network Hybrid Model Utilizing Cyclic Patterns for Stock Price Prediction
He‐Rui Wen, Mingchuan Yuan, Shuxin Wang, et al.
Complexity (2024) Vol. 2024, pp. 1-19
Open Access | Times Cited: 2
A Novel Bitcoin and Gold Prices Prediction Method Using an LSTM-P Neural Network Model
Xinchen Zhang, Linghao Zhang, Qincheng Zhou, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 12
Empirical validation of ELM trained neural networks for financial modelling
Volodymyr Novykov, Christopher Bilson, Adrian Gepp, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1581-1605
Open Access | Times Cited: 8
Attention based adaptive spatial–temporal hypergraph convolutional networks for stock price trend prediction
Hongyang Su, Xiaolong Wang, Yang Qin, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121899-121899
Closed Access | Times Cited: 4
Wavelet decomposition-based multi-stage feature engineering and optimized ensemble classifier for stock market prediction
Satya Verma, Satya Prakash Sahu, Tirath Prasad Sahu
The Engineering Economist (2024) Vol. 69, Iss. 3, pp. 213-238
Closed Access | Times Cited: 1
Research on stock forecasting based on random forest
Shipei Du, Dehong Hao, Xiao Li
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) (2022) Vol. 8, pp. 301-305
Closed Access | Times Cited: 7
A Mechanism for Bitcoin Price Forecasting using Deep Learning
Karamath Ateeq, Ahmed Abdelrahim Al Zarooni, Abdur Rehman, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 3
Stock price prediction using improved extreme learning machine methods during the Covid-19 pandemic and selection of appropriate prediction method
Aslı Boru
Kybernetes (2022) Vol. 52, Iss. 10, pp. 4081-4109
Closed Access | Times Cited: 4
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