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 Price Prediction Using Long Short-term Memory
B Vidhya, Ajmeera Kiran
NanoWorld Journal (2023) Vol. 9
Open Access | Times Cited: 19
B Vidhya, Ajmeera Kiran
NanoWorld Journal (2023) Vol. 9
Open Access | Times Cited: 19
Showing 19 citing articles:
The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction
Parshv Chhajer, Manan Shah, Ameya Kshirsagar
Decision Analytics Journal (2021) Vol. 2, pp. 100015-100015
Open Access | Times Cited: 159
Parshv Chhajer, Manan Shah, Ameya Kshirsagar
Decision Analytics Journal (2021) Vol. 2, pp. 100015-100015
Open Access | Times Cited: 159
Stock Market Price Forecasting Using the Arima Model: an Application to Istanbul, Turkiye
Tamerlan Mashadihasanli
Journal of Economic Policy Researches / İktisat Politikası Araştırmaları Dergisi (2022) Vol. 9, Iss. 2, pp. 439-454
Open Access | Times Cited: 19
Tamerlan Mashadihasanli
Journal of Economic Policy Researches / İktisat Politikası Araştırmaları Dergisi (2022) Vol. 9, Iss. 2, pp. 439-454
Open Access | Times Cited: 19
Stock Market Prediction using Bi-Directional LSTM
Jaiwin Shah, Rishabh Jain, Vedant Jolly, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 14
Jaiwin Shah, Rishabh Jain, Vedant Jolly, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 14
COMPARING THE PREDICTION ACCURACY OF LSTM AND ARIMA MODELS FOR TIME-SERIES WITH PERMANENT FLUCTUATION
Ghahreman Abdoli, Mohsen Mehrara, Mohammad Ebrahim Ardalani
Gênero & Direito (2020) Vol. 9, Iss. 2
Open Access | Times Cited: 15
Ghahreman Abdoli, Mohsen Mehrara, Mohammad Ebrahim Ardalani
Gênero & Direito (2020) Vol. 9, Iss. 2
Open Access | Times Cited: 15
Stock Market Trend Prediction and Investment Strategy by Deep Neural Networks
Mingze Shi, Qiangfu Zhao
(2020), pp. 1-6
Closed Access | Times Cited: 13
Mingze Shi, Qiangfu Zhao
(2020), pp. 1-6
Closed Access | Times Cited: 13
Predicting Stock Price with LSTM Networks
Anantha Murthy, N. Balaji, B R Puneeth, et al.
2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) (2022), pp. 1-7
Closed Access | Times Cited: 8
Anantha Murthy, N. Balaji, B R Puneeth, et al.
2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) (2022), pp. 1-7
Closed Access | Times Cited: 8
Algorithmic Trading Strategy Using Technical Indicators
Pranay D. Kumbhare, Lokendra Kolhe, Sakshi Dani, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
Pranay D. Kumbhare, Lokendra Kolhe, Sakshi Dani, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
A Hybrid Model for Stock Price Prediction using Machine Learning Techniques with CNN
S. Sarvesh, R. V. Sidharth, Vikrant Vaishnav, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2021), pp. 1-6
Closed Access | Times Cited: 8
S. Sarvesh, R. V. Sidharth, Vikrant Vaishnav, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2021), pp. 1-6
Closed Access | Times Cited: 8
Stock Market Prediction using Deep Learning
Geeta Kolte, Varadraj Kini, Harikrishnan Nair, et al.
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 26-32
Open Access | Times Cited: 5
Geeta Kolte, Varadraj Kini, Harikrishnan Nair, et al.
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 26-32
Open Access | Times Cited: 5
Data Preprocessing for Stock Price Prediction Using LSTM and Sentiment Analysis
Aditya Singh Rajpurohit, Harshada Mhaske, Pradnya Sangitbabu Gaikwad, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023), pp. 1-6
Closed Access | Times Cited: 1
Aditya Singh Rajpurohit, Harshada Mhaske, Pradnya Sangitbabu Gaikwad, et al.
2021 5th International Conference on Information Systems and Computer Networks (ISCON) (2023), pp. 1-6
Closed Access | Times Cited: 1
Stock Price Forcasting using DeepNet
Shweta Roy, Safdar Tanveer
(2023), pp. 418-420
Closed Access | Times Cited: 1
Shweta Roy, Safdar Tanveer
(2023), pp. 418-420
Closed Access | Times Cited: 1
Forecasting Financial Time Series Using Deep Learning Networks: Evidence from Long-Short Term Memory and Gated Recurrent Unit
Mohammadreza Ghadimpour, Seyed babak Ebrahimi
Iranian Journal of Finance (2022) Vol. 6, Iss. 4, pp. 81-94
Open Access | Times Cited: 2
Mohammadreza Ghadimpour, Seyed babak Ebrahimi
Iranian Journal of Finance (2022) Vol. 6, Iss. 4, pp. 81-94
Open Access | Times Cited: 2
Lbl Lstm Log Bilinear And Long Short Term Memory Based Efficient Stock Forecasting Model Considering External Fluctuating Factor
Uma Gurav, S. Kotrappa
International Journal of Engineering and Advanced Technology (2020) Vol. 9, Iss. 4, pp. 2057-2063
Open Access | Times Cited: 2
Uma Gurav, S. Kotrappa
International Journal of Engineering and Advanced Technology (2020) Vol. 9, Iss. 4, pp. 2057-2063
Open Access | Times Cited: 2
Visualizing and Forecasting Stocks Using Machine Learning
Ajitkumar Jagtap, Yash Patil, Darshan Oswal
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 2562-2566
Open Access | Times Cited: 1
Ajitkumar Jagtap, Yash Patil, Darshan Oswal
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 2562-2566
Open Access | Times Cited: 1
“Stock Price Prediction using Machine Learning”
Drashi Dave, Sanjana Prajapati, Udity Solanki
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 9, pp. 263-275
Open Access | Times Cited: 1
Drashi Dave, Sanjana Prajapati, Udity Solanki
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 9, pp. 263-275
Open Access | Times Cited: 1
Analysis of Various Regressions for Stock Data Prediction
M. Sanjay Kumar Reddy, R. Sumathi, N.Vinay Kumar Reddy, et al.
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022) Vol. 5, pp. 538-542
Closed Access | Times Cited: 1
M. Sanjay Kumar Reddy, R. Sumathi, N.Vinay Kumar Reddy, et al.
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS) (2022) Vol. 5, pp. 538-542
Closed Access | Times Cited: 1
A Study of LSTM in Stock Price Prediction
Ishan Adhikari Bairagi, A. Daniel, Anchal Sharma
(2022)
Closed Access | Times Cited: 1
Ishan Adhikari Bairagi, A. Daniel, Anchal Sharma
(2022)
Closed Access | Times Cited: 1
Comparison and Analysis of Prediction for High Volatility Stocks using Different Machine Learning Models
Minglong Chen, Mohan Ren, Yujie Zhou
(2023)
Open Access
Minglong Chen, Mohan Ren, Yujie Zhou
(2023)
Open Access
