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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:

A Combined Model Based on Recurrent Neural Networks and Graph Convolutional Networks for Financial Time Series Forecasting
Ana Lazcano, Pedro Javier Herrera, Manuel Monge
Mathematics (2023) Vol. 11, Iss. 1, pp. 224-224
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model
Muhammad Ali, Dost Muhammad Khan, Huda M. Alshanbari, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1429-1429
Open Access | Times Cited: 71
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
Padala Raja Shekar, Aneesh Mathew, P. V. Yeswanth, et al.
Artificial Intelligence in Geosciences (2024) Vol. 5, pp. 100073-100073
Open Access | Times Cited: 16
Financial Anti-Fraud Based on Dual-Channel Graph Attention Network
Sizheng Wei, Suan Lee
Journal of theoretical and applied electronic commerce research (2024) Vol. 19, Iss. 1, pp. 297-314
Open Access | Times Cited: 14
DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features
Shakil Rana, Md Jabed Hosen, Tasnim Jahan Tonni, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2830-2830
Open Access | Times Cited: 8
State of charge prediction for lithium-ion batteries based on multi-process scale encoding and adaptive graph convolution
Hongyan Wang, Wei Wu, Langfu Cui, et al.
Journal of Energy Storage (2025) Vol. 113, pp. 115482-115482
Closed Access | Times Cited: 1
Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction
Stéfano Frizzo Stefenon, Laio Oriel Seman, Nemesio Fava Sopelsa Neto, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6118-6118
Open Access | Times Cited: 21
EMDFormer model for time series forecasting
Ana Lazcano, Miguel A. Jaramillo-Morán, Julio E. Sandubete
AIMS Mathematics (2024) Vol. 9, Iss. 4, pp. 9419-9434
Open Access | Times Cited: 6
STAD-GCN: Spatial–Temporal Attention-based Dynamic Graph Convolutional Network for retail market price prediction
Sodam Kim, Eunil Park
Expert Systems with Applications (2024) Vol. 255, pp. 124553-124553
Closed Access | Times Cited: 6
Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network
Maryam Khoshkhabar, Saeed Meshgini, Reza Afrouzian, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7561-7561
Open Access | Times Cited: 12
Integrated GCN–BiGRU–TPE Agricultural Product Futures Prices Prediction Based on Multi-graph Construction
Dabin Zhang, Xiaoming Li, Liwen Ling, et al.
Computational Economics (2025)
Closed Access
Time series data analysis and association rule mining in financial recommendation systems using Hadoop and Spark
Yaoyu Chen, Yichen Xu
Advances in Engineering Innovation (2025) Vol. 15, Iss. 1, pp. None-None
Closed Access
Financial Time Series Prediction Using Pelican Optimized Extreme Learning Machine with Reduced Weights
P. Syamala Rao, G. Parthasaradhi Varma, Durga Prasad Chinta, et al.
Computational Economics (2025)
Closed Access
A framework for detecting high-performance cardiac arrhythmias using deep inference engine on FPGA and higher-order spectral distribution
S. Karthikeyani, S. Sasipriya, M. Ramkumar
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112445-112445
Closed Access
Research on the application of deep learning in beacon light trajectory prediction under satellite platform vibration
Qiang Wang, Yinzhuo Liu, Lei Cui, et al.
Optics Communications (2025), pp. 131846-131846
Closed Access
Hybrid Transformer-CNN architecture for multivariate time series forecasting: Integrating attention mechanisms with convolutional feature extraction
Abdellah El Zaar, Amine Mansouri, Nabil Benaya, et al.
Journal of Intelligent Information Systems (2025)
Closed Access
Multi-Scale TsMixer: A Novel Time-Series Architecture for Predicting A-Share Stock Index Futures
Zhiyuan Pei, Jianqi Yan, Yan Jin, et al.
Mathematics (2025) Vol. 13, Iss. 9, pp. 1415-1415
Open Access
Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning
Yunan Song, Huaqing Du, Tianyu Piao, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-24
Open Access | Times Cited: 3
Algorithmic stock trading based on ensemble deep neural networks trained with time graph
Muhammed Yilmaz, Mustafa Mert Keskin, Ahmet Murat Özbayoğlu
Applied Soft Computing (2024) Vol. 163, pp. 111847-111847
Closed Access | Times Cited: 3
C-KAN: A New Approach for Integrating Convolutional Layers with Kolmogorov–Arnold Networks for Time-Series Forecasting
Ioannis E. Livieris
Mathematics (2024) Vol. 12, Iss. 19, pp. 3022-3022
Open Access | Times Cited: 3
A Multi-Factor Selection and Fusion Method through the CNN-LSTM Network for Dynamic Price Forecasting
Yishun Liu, Chunhua Yang, Keke Huang, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1132-1132
Open Access | Times Cited: 7
Electric Vehicle Battery State of Charge Prediction Based on Graph Convolutional Network
Geunsu Kim, Soohyeok Kang, Gyudo Park, et al.
International Journal of Automotive Technology (2023) Vol. 24, Iss. 6, pp. 1519-1530
Closed Access | Times Cited: 6
Optimizing Gas Production Forecasting in Iraq Using a Hybrid Artificial Intelligence Model
Marwan Abdul Hameed Ashour
(2023)
Closed Access | Times Cited: 4
A Comparison of Predictive Models for Rice Imports in Iraq: Artificial Neural Networks vs. Traditional Techniques
Marwan Abdul Hameed Ashour, Rabab Alayham Abbas
(2023), pp. 1-5
Closed Access | Times Cited: 4
Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations
Luke Liang, Hieu Phan, Philippe J. Giabbanelli
SIMULATION (2024) Vol. 100, Iss. 6, pp. 545-561
Closed Access | Times Cited: 1
Forecasting Implementation of Hybrid Time Series and Artificial Neural Network Models
Daisy Lou L. Polestico, Art Louie Bangcale, Lemuel Clark Velasco
Procedia Computer Science (2024) Vol. 234, pp. 230-238
Open Access | Times Cited: 1
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