Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model
Shahzad Zaheer, Nadeem Anjum, Saddam Hussain, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 590-590
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Towards a Data-Driven Predictive Framework
Doha Haidar, Salma Mouatassim, Rajaa Benabbou, et al.
Practice, progress, and proficiency in sustainability (2025), pp. 219-296
Closed Access | Times Cited: 1
A Comparative Analysis of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) Networks for Forecasting Stock Prices Over a One-Week Horizon at Yangon Stock Exchange
Kyaw Kyaw Khaing, Ah Nge Htwe, Andrew Lewis
Lecture notes in electrical engineering (2025), pp. 463-472
Closed Access | Times Cited: 1
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
G. Avinash, V. Ramasubramanian, Mrinmoy Ray, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111557-111557
Closed Access | Times Cited: 11
Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain
Doaa A. Abdel Hady, Tarek Abd El‐Hafeez
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2024) Vol. 16, Iss. 18, pp. 2607-2607
Open Access | Times Cited: 5
Temporal fusion transformer model for predicting differential pressure in reverse osmosis process
Seunghyeon Lee, Jaegyu Shim, Jinuk Lee, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106914-106914
Closed Access
A novel deep learning multi-step prediction model for dam displacement using Chrono-initialized LSTM and sequence-to-sequence framework
Yan Su, Jiayuan Fu, Chuan Lin, et al.
Expert Systems with Applications (2025), pp. 126624-126624
Closed Access
A fault identification method of hydraulic pump fusing long short-term memory and synchronous compression wavelet transform
Shengnan Tang, Yixuan Jiang, Hong Su, et al.
Applied Acoustics (2025) Vol. 232, pp. 110553-110553
Closed Access
Evaluating the quality of digital education resources based on learners’ online reviews through topic modeling and opinion mining
Lin Zhang, Qi Li, Weiyan Xiong, et al.
Education and Information Technologies (2025)
Closed Access
Audio Fingerprinting to Achieve Greater Accuracy and Maximum Speed with Multi-Model CNN-RNN-LSTM in Speaker Identification
Rajani Kumari Inapagolla, K. Ramesh Babu
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access
MA_BiRAE - Malware analysis and detection technique using adversarial learning and deep learning
Surbhi Prakash, Amar Kumar Mohapatra
Journal of Information Security and Applications (2025) Vol. 90, pp. 104009-104009
Closed Access
A Comparative Study of Stock Price Prediction Models Based on RNN and LSTM—Taking PetroChina Company Limited as an Example
小雨 蒋
Statistics and Applications (2025) Vol. 14, Iss. 02, pp. 58-65
Closed Access
Forecasting of NIFTY 50 Index Price by Using Backward Elimination with an LSTM Model
Syed Hasan Jafar, Shakeb Akhtar, Hani El-Chaarani, et al.
Journal of risk and financial management (2023) Vol. 16, Iss. 10, pp. 423-423
Open Access | Times Cited: 13
Predicting the Performance of Retail Market Firms: Regression and Machine Learning Methods
Darko Vuković, Lubov Spitsina, Ekaterina Gribanova, et al.
Mathematics (2023) Vol. 11, Iss. 8, pp. 1916-1916
Open Access | Times Cited: 11
Application of machine learning algorithms in the domain of financial engineering
Xiang Liu, Sultan Salem, Lijun Bian, et al.
Alexandria Engineering Journal (2024) Vol. 95, pp. 94-100
Open Access | Times Cited: 3
Predicting Saudi Stock Market Index by Using Multivariate Time Series Based on Deep Learning
Mutasem Jarrah, Morched Derbali
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8356-8356
Open Access | Times Cited: 7
Forecasting Agriculture Commodity Futures Prices with Convolutional Neural Networks with Application to Wheat Futures
Avi Thaker, Leo H. Chan, Daniel Sonner
Journal of risk and financial management (2024) Vol. 17, Iss. 4, pp. 143-143
Open Access | Times Cited: 2
Data-Driven Strategies for Complex System Forecasts: The Role of Textual Big Data and State-Space Transformers in Decision Support
Huairong Huo, Wanxin Guo, Ruining Yang, et al.
Systems (2024) Vol. 12, Iss. 5, pp. 171-171
Open Access | Times Cited: 1
Enhanced stock market forecasting using dandelion optimization-driven 3D-CNN-GRU classification
B. N. Jagadesh, N. V. Rajasekhar Reddy, Pamula Udayaraju, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Predicting Saudi Stock Market Index by Using Multivariate Time Series based on Deep Learning
Mutasem Jarrah, Morched Derbali
(2023)
Open Access | Times Cited: 4
The Development and Validation of a Lightweight Automated Stock Trading System Using Deep Learning Models: Employing Technical Analysis Methods
SeongJae Yu, Sung‐Byung Yang, Sang-Hyeak Yoon
(2023)
Open Access | Times Cited: 4
Prediction Model for Stock Trading using Combined Long Short Term Memory and Neural Prophet with Regressors
Barani Shaju, Valliammal Narayan
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 956-964
Open Access | Times Cited: 4
A Stock Index Prediction Model Based on LSTM: Taking New Energy Vehicles as an Example
Xinyi He
Frontiers in Business Economics and Management (2024) Vol. 12, Iss. 3, pp. 51-55
Open Access | Times Cited: 1
A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Information Sciences (2024) Vol. 686, pp. 121356-121356
Closed Access | Times Cited: 1
Analyzing the critical steps in deep learning-based stock forecasting: a literature review
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e2312-e2312
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top