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:

A Survey of Forex and Stock Price Prediction Using Deep Learning
Zexin Hu, Yiqi Zhao, Matloob Khushi
Applied System Innovation (2021) Vol. 4, Iss. 1, pp. 9-9
Open Access | Times Cited: 65

Showing 26-50 of 65 citing articles:

Algorithm Optimizer in GA-LSTM for Stock Price Forecasting
YL Sukestiyarno, Dian Tri Wiyanti, Lathifatul Azizah
(2023)
Open Access | Times Cited: 2
A Hybrid Model Combined Deep Learning Approaches in Stock Price Prediction
Zidong Huang, Yiming Lin, Haoran Xue
2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI) (2022)
Closed Access | Times Cited: 4
Financial Statement Analysis Based on RNN-RBM Model
Fang Liu
Deleted Journal (2024) Vol. 20, Iss. 1, pp. 106-123
Open Access
Day Trading Strategy Based on Transformer Model, Technical Indicators and Multiresolution Analysis
Salahadin Mohammed
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 4
Open Access
Stock Price Prediction Model Analysis Based on Neural Network
Mingzhe Yin
Highlights in Science Engineering and Technology (2024) Vol. 88, pp. 651-656
Open Access
Marketing Strategy Optimization: A Case Study Based on SARIMA And Genetic Algorithm
Kaiyuan Li, Jingyang Bao, Minyue Yang
Highlights in Science Engineering and Technology (2024) Vol. 101, pp. 172-181
Open Access
LSTM-Based Temporal Analysis of Nifty 50: Accuracy Dynamics across Varied Time Frames
Priyanka Dash, Jyotirmaya Mishra, Suresh Dara
Advances in computer science research (2024), pp. 1164-1172
Open Access
A Review of Bitcoin Price Prediction Based on Deep Learning Algorithms
Hanaa Tayib, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 2
Open Access
Predicting Systemic Risk in Financial Markets Using Machine Learning
Qiaoyu Zou
Transactions on Economics Business and Management Research (2024) Vol. 8, pp. 455-460
Open Access
Deep Learning for Temporal Stock Prediction: A Comparison
Bohan Xuan
Transactions on Computer Science and Intelligent Systems Research (2024) Vol. 5, pp. 1630-1635
Open Access
Stock Prediction: Conventional vs. Advanced Models
Tao Chen, Yixuan Li, Ruimin Zeng
(2024)
Closed Access
Analysis of the Different Models for Stock Price Prediction
Zhehao Lu
Highlights in Science Engineering and Technology (2024) Vol. 88, pp. 130-135
Open Access
Stock Price Nowcasting and Forecasting with Deep Learning
Chuanzhi Fan, Xiang Zhang
Research Square (Research Square) (2024)
Open Access
Stock Price Forecasting with the Weight Moving Average Method in Technology Sector Companies on the Indonesia Stock Exchange (IDX)
Syefira Ramadhani, Nurafni Eltivia, Nur İndah Riwajanti
Journal of Applied Business Taxation and Economics Research (2023) Vol. 3, Iss. 1, pp. 1-13
Open Access | Times Cited: 1
An empirical study on the various stock market prediction methods
Jaymit Bharatbhai Pandya, Udesang K. Jaliya
Register Jurnal Ilmiah Teknologi Sistem Informasi (2022) Vol. 8, Iss. 1, pp. 58-58
Open Access | Times Cited: 2
BovDB: a data set of stock prices of all companies in B3 from 1995 to 2020
Fabian Corrêa Cardoso, Juan Andrey Valverde Malska, Paulo Junior Ramiro, et al.
Journal of Information and Data Management (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Karachi Stock Exchange Price Prediction using Machine Learning Regression Techniques
Mazhar Hameed, Khurum Iqbal, Rozaida Ghazali, et al.
EAI Endorsed Transactions on Creative Technologies (2021) Vol. 8, Iss. 28, pp. 170753-170753
Open Access | Times Cited: 2
Stock Market Trend Analysis on Indian Financial News Headlines with Natural Language Processing
Anshul Saxena, Vandana Bhagat, Amrita Tamang
2021 Asian Conference on Innovation in Technology (ASIANCON) (2021), pp. 1-5
Closed Access | Times Cited: 2
Implementation of Long Short-Term Memory and Gated Recurrent Units on Grouped Time-Series Data to Predict Stock Prices Accurately
Armin Lawi, Hendra Mesra, Supri Amir
Research Square (Research Square) (2021)
Open Access | Times Cited: 2
Stock market Prediction using Reinforcement Learning Technique
S Shymalagowri, Hema Priya N, Rathika PD
YMER Digital (2022) Vol. 21, Iss. 07, pp. 1022-1036
Open Access | Times Cited: 1
A Bandwidth Prediction Method Based on Hybrid LSTM for Content Delivery Network
Xinyu Wang, Xin Du, Wenli Li, et al.
(2022)
Closed Access | Times Cited: 1
Prophecy in Financial Exchanges using ML Models
Sahil Singh, Prashant Yadav, Ronit Asawa, et al.
International Journal of Engineering Research in Computer Science and Engineering (2022) Vol. 9, Iss. 8, pp. 34-37
Open Access | Times Cited: 1
BovDB: A data set of stock quotes for Machine Learning on all companies from B3 between 1995 and 2020
Fabian Corrêa Cardoso, Juan Malska, Paulo Ramiro, et al.
(2021), pp. 21-32
Open Access | Times Cited: 1
HybridLSTM for NIFTY50 prediction using global indices and technical indicators
Vanita Jain, Apoorv Jain, Vinayakk Garg, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2021) Vol. 51, pp. 1-7
Closed Access | Times Cited: 1
Stock Price Prediction using Various LSTMs
S. Narayana, Kokkiligadda Stuthi Keerthi, Anneboina Srinivasulu, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 1-6
Closed Access

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