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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:

Improving Stock Prediction Accuracy Using CNN and LSTM
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (2020), pp. 1-5
Closed Access | Times Cited: 24

Showing 24 citing articles:

A Comprehensive Review of Machine Learning for Financial Market Prediction Methods
Rahul Maruti Dhokane, Om P. Sharma
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2023), pp. 1-8
Closed Access | Times Cited: 6
Quantitative Stock Selection Model Using Graph Learning and a Spatial–Temporal Encoder
Tianyi Cao, Xinrui Wan, Huanhuan Wang, et al.
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 3, pp. 1756-1775
Open Access | Times Cited: 1
Hybrid Machine Learning Model for Predicting NASDAQ Composite Index
Zakia Zouaghia, Zahra Kodia, Lamjed Ben Saïd
2022 International Symposium on Networks, Computers and Communications (ISNCC) (2023) Vol. 3, pp. 1-6
Closed Access | Times Cited: 4
A Machine Learning-Based Intrusion Detection of DDoS Attack on IoT Devices
Suleman Altinbas
International Journal of Advanced Trends in Computer Science and Engineering (2021) Vol. 10, Iss. 4, pp. 2792-2797
Open Access | Times Cited: 8
Stock Prediction Based on Twitter Sentiment Extraction Using BiLSTM-Attention
Dhomas Hatta Fudholi, Royan Abida N. Nayoan, Septia Rani
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Optimization of Imbalanced and Multidimensional Learning Under Bayes Minimum Risk and Savings Measure
Fatima El Barakaz, Omar Boutkhoum, Mohamed Hanine, et al.
Big Data (2022) Vol. 10, Iss. 5, pp. 425-439
Closed Access | Times Cited: 4
Uzun Kısa Vadeli Bellek Tekrarlayan Sinir Ağı Kullanarak Bitcoin Kripto Para Birimi Fiyat Tahmini
Ahmad Bilal Wardak, Jawad Rasheed
European Journal of Science and Technology (2022)
Open Access | Times Cited: 4
Enhancing Stock Market Prediction Through LSTM Modeling and Analysis
Weihao Huang
(2023)
Open Access | Times Cited: 2
Statistical Study of Sensor Data and Investigation of ML-Based Calibration Algorithms for Inexpensive Sensor Modules: Experiments From Cape Point
Travis Barrett, Amit Kumar Mishra
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access
A novel method for enhancing the accuracy in plant leaf disease detection using convolutional neural network over k-nearest neighbors classifier
NunnaVenkata Kalyan, Rashmita Khilar
AIP conference proceedings (2024) Vol. 3097, pp. 020171-020171
Closed Access
A novel method for enhancing the accuracy in plant leaf disease detection using convolution neural network over fuzzy classifier
Nunna Venkata Kalyan, Rashmita Khilar
AIP conference proceedings (2024) Vol. 3097, pp. 020114-020114
Closed Access
Stock Price Prediction Using Convolutional Neural Networks on Various Time Frames
Jiayao Wang
Highlights in Science Engineering and Technology (2024) Vol. 94, pp. 1-8
Open Access
Determining Whether a Turkish Text is Produced by Artificial Intelligence or Human
Rezzan Nisa Er, Kevser Nur Çoğalmış
(2024), pp. 1-5
Closed Access
Analyzing Nickel Stock Price Prediction: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models
Ferry Irwanto, Muhammad Farrell Hafizh Sasongko, Stevanus Febrian, et al.
(2024), pp. 229-234
Closed 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
Maximizing Forecasting Precision: Empowering Multivariate Time Series Prediction with QPCA-LSTM
Yuvaraja Boddu, Manimaran Aridoss
Computational Economics (2024)
Closed Access
Forecasting Stock Market Prices Through Real-Time Stock Data Utilizing Deep Learning Techniques
R Velmurugan, Joji Abey, Naji Mansour Nomran
Studies in systems, decision and control (2024), pp. 219-232
Closed Access
Sales Prediction in E-Commerce Platforms Using Machine Learning
Mohammed Aljbour, İsa AVCI
Lecture notes in networks and systems (2024), pp. 207-216
Closed Access
Forecasting Bitcoin Prices Using LSTM: A Comparative Evaluation with Future Prediction
D. Bhowmick, Debabrata Barik, D. Ghosh
Lecture notes in networks and systems (2024), pp. 425-449
Closed Access
A Sustainable Deep Learning based Computationally Intelligent Seafood Monitoring System for Fish Species Screening
Jawad Rasheed
(2021), pp. 1-6
Closed Access | Times Cited: 3
Prediction stock price based on CNN and LSTM models
He Kexin, Zhijin Zhang
Financial Engineering and Risk Management (2022) Vol. 5, Iss. 7
Open Access | Times Cited: 2
Comparison of Variant Principal Component Analysis Using New RNN-based Framework for Stock Prediction
Shuyan Liu, Yue Chen
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 1047-1056
Closed Access | Times Cited: 1
CNN-LSTM Hybrid Model for Improving Bitcoin Price Prediction Results
Ferdiansyah, Raja Kamil, Sit Hajar, et al.
Applied Mathematics and Computational Intelligence (AMCI) (2023) Vol. 12, Iss. 4, pp. 13-26
Open Access
Integrating Social Media Data and Historical Stock Prices for Predictive Analysis: A Reinforcement Learning Approach
Mei Li, Ye Zhang
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 12
Open Access
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