Open Access Helper

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 26-50 of 37 citing articles:

An intelligent option trading system based on heatmap analysis via PON/POD yields
Min-Kuan Chen, Dong‐Yuh Yang, Ming‐Hua Hsieh, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 124948-124948
Closed Access
Enhancing stock price prediction with CommentGCN and OPERA for stock comments from social media
Changsheng Zhu, Chen Yang, Wenfang Feng, et al.
Research Square (Research Square) (2024)
Open Access
Machine learning techniques via ensemble approaches in stock exchange index prediction: Systematic review and bibliometric analysis
João Victor Ribeiro Ferro, Robério José Rogério dos Santos, Evandro Costa, et al.
Applied Soft Computing (2024), pp. 112359-112359
Closed Access
Time Series Modeling of the Relationship between Low Turnover Stocks and SSE Index Based on Neural Network
Xinming Ma, Haoyang Wang
(2024), pp. 885-889
Closed Access
Hybrid model-based prediction of biomass density in case studies in Turkiye
B. İşler, Zafer Aslan, F. Sunar, et al.
Ecological Informatics (2023) Vol. 79, pp. 102439-102439
Open 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
The Importance of Labeling and Noise on The Trading Strategy
Zinnet Duygu Akşehır, Erdal Kılıç
2021 6th International Conference on Computer Science and Engineering (UBMK) (2023), pp. 23-28
Closed Access
A Framework for Enhancing Stock Investment Performance by Predicting Important Trading Points with Return-Adaptive Piecewise Linear Representation and Batch Attention Multi-Scale Convolutional Recurrent Neural Network
Yu Lin, Ben Liu
Entropy (2023) Vol. 25, Iss. 11, pp. 1500-1500
Open Access
Enhancing Stock Market Forecasting Using Recursive Time Series Decomposition Techniques
A. Bareket, Bazil Pârv
Journal of Machine Intelligence and Data Science (2023) Vol. 4
Open Access
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
The theory of adaptive reactive power compensation of electric railways rolling stock
Sergii Hulak, V. Tkachenko
(2022)
Open Access
LTMS Forecasting on the Macedonian stock exchange (MSE)
Jovanoski Davor
HORIZONS A (2022) Vol. 30
Open Access
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