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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 Market Prediction using Bi-Directional LSTM
Jaiwin Shah, Rishabh Jain, Vedant Jolly, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 14

Showing 14 citing articles:

A novel deep reinforcement learning framework with BiLSTM-Attention networks for algorithmic trading
Yuling Huang, Xiaoxiao Wan, Lin Zhang, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122581-122581
Closed Access | Times Cited: 16
Prediksi Harga Saham Syariah menggunakan Bidirectional Long Short Term Memory (BiLSTM) dan Algoritma Grid Search
Dian Islamiaty Puteri, Gumgum Darmawan, Budi Nurani Ruchjana
Jambura Journal of Mathematics (2024) Vol. 6, Iss. 1, pp. 39-45
Open Access | Times Cited: 1
Research on Stock Index Prediction Based on the Spatiotemporal Attention BiLSTM Model
Shengdong Mu, Boyu Liu, Gu Jijian, et al.
Mathematics (2024) Vol. 12, Iss. 18, pp. 2812-2812
Open Access | Times Cited: 1
A new hybrid method of recurrent reinforcement learning and BiLSTM for algorithmic trading
Yuling Huang, Yunlin Song
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 2, pp. 1939-1951
Closed Access | Times Cited: 3
Unveling the Precision of Deep Learning Models for Stock Price Prediction: A Comparative Analysis of Bi-LSTM, LSTM, and GRU
Thirza Baihaqi, Matthew Aaron Sugiyarto, Rayhan Prawira Daksa, et al.
(2023)
Closed Access | Times Cited: 2
Posture Correction and Detection using 3-D Image Classification
Vedant Jolly, Rishabh Jain, Jaiwin Shah, et al.
2022 International Conference for Advancement in Technology (ICONAT) (2022), pp. 1-5
Closed Access | Times Cited: 3
Robotic Process Automation for Stock Selection Process and Price Prediction Model using Machine Learning Techniques
Vinayak Jadkar, Mayur Khandate, Vedant Gampawar, et al.
International Journal on Recent and Innovation Trends in Computing and Communication (2022) Vol. 10, Iss. 7, pp. 50-57
Open Access | Times Cited: 3
HybStock: A Hybrid Deep Learning-Based Model to Predict Stock Market on Dhaka Stock Exchange
Md. Sakif Ibn Yousuf, S.M. Rashidul Hasan Nijhum, Muhammad Ibrahim Khan
(2024), pp. 782-787
Closed Access
Application of Attention-Based LSTM Hybrid Models for Stock Price Prediction
Xinhao Sun
Advances in Economics Management and Political Sciences (2024) Vol. 104, Iss. 1, pp. 77-91
Open Access
LSTM-Driven Forecasting of Surface Temperature Trends in Indonesia as Insights Into Climate Change
Rezzy Eko Caraka, Prana Ugiana Gio, Valerie Vincent Yang, et al.
(2024), pp. 478-483
Closed Access
A Self-Attention-Based Stock Prediction Method Using Long Short-Term Memory Network Architecture
Xiaojun Ye, Beixi Ning, Pengyuan Bian, et al.
Communications in computer and information science (2023), pp. 12-24
Closed Access | Times Cited: 1
Deep Learning Approach in Predicting Property and Real Estate Indices
Seng Hansun
International Journal of Advances in Soft Computing and its Applications (2022) Vol. 14, Iss. 1, pp. 61-71
Open Access | Times Cited: 2
A Comparative Study of LSTM Variants in Prediction for Tesla’s Stock Price
Jianyao Li
BCP Business & Management (2022) Vol. 34, pp. 30-38
Open Access | Times Cited: 2
Tesla Stock Close Price Prediction Using KNNR, DTR, SVR, and RFR
Edward, Suharjito Suharjito
Journal of Human Earth and Future (2022) Vol. 3, Iss. 4, pp. 403-422
Open Access | Times Cited: 2
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