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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 26-50 of 38 citing articles:

Forecasting Bitcoin Price Using Interval Graph and ANN Model: A Novel Approach
R. Murugesan, V. Shanmugaraja, A. Vadivel
SN Computer Science (2022) Vol. 3, Iss. 5
Open Access | Times Cited: 3
Prediction Model for Driver Reaction Time Based on PSO-BP Neural Network Model
Dan Wang, Liang Hong, Ce Zhang, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 3
Sediment Load Prediction Using Combining Wavelet Transform and Least Square Support Vector Machine
Parameshwar, Sandeep Samantaray, Abinash Sahoo
Lecture notes in networks and systems (2024), pp. 383-394
Closed Access
Optimal Data Construction in Supervised Machine Learning for Financial Prediction
KIM Hongjoong, MOON Kyoung-Sook
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH (2024) Vol. 58, Iss. 1/2024, pp. 5-20
Open Access
Two-Stage Early Prediction Framework of Remaining Useful Life for Lithium-ion Batteries
Dhruv Mittal, Hymalai Bello, Bo Zhou, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-7
Open Access | Times Cited: 1
Deterministic Weight Modification-based Extreme Learning Machine for Stock Price Prediction
K. Kalaiselvi, Vasantha Kalyani David
Recent Patents on Engineering (2023) Vol. 19, Iss. 2
Closed Access | Times Cited: 1
Wavelet-Denoised ARIMA and LSTM Method to Predict Cryptocurrency Price
Ersin Şener, İbrahim Demir
2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2022) Vol. 29, pp. 577-582
Closed Access | Times Cited: 1
Time Series Forecasting Model Based on Mayfly Algorithm Optimization
Yi Chen, Eva Khong
Academic Journal of Business & Management (2022) Vol. 4, Iss. 10
Open Access | Times Cited: 1
A stacked forecasting model-CEEMDAN-BPMs model
Yi Chen, Eva Khong
Academic Journal of Computing & Information Science (2022) Vol. 5, Iss. 9
Open Access | Times Cited: 1
<b>Associative networks for the daily prediction of opening and closing values of stock indices</b>
Simón Pedro J. Mejía Uribe, Henry Laniado Roda, Paula María Almonacid Hurtado, et al.
Revista de Ciencias Empresariales │Universidad Blas Pascal (2023), Iss. 8(2023), pp. 47-55
Open Access
An Evaluation of Extreme Learning Machine Algorithm to Forecasting the Gold Price
Gurpreet Singh, Bebesh Tripathy, Jaspreet Singh
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 523-529
Closed Access
Forecasting Apple Stock Closed Prices by LR and LSTM with Discrete Wavelet Transformation
Yuxin Yang
Advances in economics, business and management research/Advances in Economics, Business and Management Research (2022), pp. 935-943
Open Access
Surface Enhanced Raman Scattering (SERS) Spectroscopy Combined With Chemical Imaging Analysis For The Early Detection of Apple Valsa Canker
Shiyan Fang, Junmeng Li, Yan Wang, et al.
Research Square (Research Square) (2021)
Open Access
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