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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:

TRNN: An efficient time-series recurrent neural network for stock price prediction
Minrong Lu, XU Xue-rong
Information Sciences (2023) Vol. 657, pp. 119951-119951
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

A causal representation learning based model for time series prediction under external interference
Xuanzhi Feng, Dongxu Fan, Shuhao Jiang, et al.
Information Sciences (2024) Vol. 663, pp. 120270-120270
Closed Access | Times Cited: 1
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
Best Practices to Train Accurate Deep Learning Models: A General Methodology
Alberto Moyano, Ana M. Maitín, Álvaro J. García‐Tejedor
(2024)
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
VWFTS-PSO: a novel method for time series forecasting using variational weighted fuzzy time series and particle swarm optimization
Ganesh Didugu, Manoranjan Gandhudi, P. J. A. Alphonse, et al.
International Journal of General Systems (2024), pp. 1-20
Closed Access | Times Cited: 1
Graph-Augmented Contrastive Clustering for Time Series Data
Qin Zhang, Zhuoluo Liang, Alladoumbaye Ngueilbaye, et al.
(2024)
Closed Access
A New Hybrid Approach for Clustering, Classification, and Prediction of World Development Indicators Combining General Type-2 Fuzzy Systems and Neural Networks
Martha Ramírez, Patricia Melín, Oscar Castillo
Axioms (2024) Vol. 13, Iss. 6, pp. 368-368
Open Access
Graph-Augmented Contrastive Clustering for Time Series Data
Qin Zhang, Zhuoluo Liang, Alladoumbaye Ngueilbaye, et al.
(2024)
Closed Access
Predicting the volatility of Chinese stock indices based on realized recurrent conditional heteroskedasticity
G. Zhang, Huanyu Zhao, Ruirui Fan
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0308967-e0308967
Open Access
Leveraging multi-time-span sequences and feature correlations for improved stock trend prediction
Yawen Li, Mengyu Zhuang, Junheng Wang, et al.
Neurocomputing (2024), pp. 129218-129218
Closed Access
Analysis of Vegetable Sales Volume Distribution and Pricing Strategy: A Study Based on Nonparametric Kernel Density Estimation and Neural Network Modeling
Binru Lin, Yuxuan Shi, Jingyi Wang, et al.
(2024), pp. 1773-1779
Closed Access
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
Research on Stock Price Prediction Model Based on LSTM
Junrong Nie
Highlights in Science Engineering and Technology (2024) Vol. 94, pp. 486-492
Open Access
A novel hybrid deep learning time series forecasting model based on long-short-term patterns
Zan Tang, Jing Xiao, K. Liu
Communications in Statistics - Simulation and Computation (2024), pp. 1-23
Closed Access
Research on Stock Forecasting in Different Time Dimensions with CITIC Haizhi as an Example
志强 陈
E-Commerce Letters (2024) Vol. 13, Iss. 03, pp. 7003-7011
Closed Access
NASDAQ 100 Index Prediction Using LSTM And Sentiment Analysis
Fuzhe Zhao, Han Xu, Zhaoge Huang, et al.
(2024), pp. 351-357
Closed Access
Identifying urban land use through higher-order spatial interactions
Huijun Zhou, Kailu Wang, Yifan Bai, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access
Composite anti-disturbance predictive control of unmanned systems with time-delay using multi-dimensional Taylor network
Chenlong Li, Wenshuo Li, Zejun Zhang
Chinese Journal of Aeronautics (2024)
Open Access
Study on AI-Assisted Statistical Approach for Improving Stock Price Prediction Accuracy
Gaurav Tuteja, Varsha Agarwal, N Meeramani, et al.
INTI JOURNAL. (2024) Vol. 2022, Iss. 1
Open Access
Novel Applications of Data Analytics in Financial Markets
Adithya Shivashankar, Chirag Lokesh, Chethan Adhikary, et al.
Advances in computational intelligence and robotics book series (2024), pp. 245-262
Closed Access
BERT-Driven stock price trend prediction utilizing tokenized stock data and multi-step optimization approach
Xueyi Teng, Liang Zhang, Peiwen Gao, et al.
Applied Soft Computing (2024), pp. 112627-112627
Closed Access
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