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:

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: 51

Showing 1-25 of 51 citing articles:

Developing a hybrid system for stock selection and portfolio optimization with many-objective optimization based on deep learning and improved NSGA-III
Mengzheng Lv, Jianzhou Wang, Shuai Wang, et al.
Information Sciences (2024) Vol. 670, pp. 120549-120549
Closed Access | Times Cited: 13
FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network
James Chee Min Tan, Qi Cao, Chai Quek
Information Sciences (2024) Vol. 663, pp. 120276-120276
Open Access | Times Cited: 11
An enhanced Transformer framework with incremental learning for online stock price prediction
Yiming Qian
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316955-e0316955
Open Access | Times Cited: 1
Predicting Economic Trends and Stock Market Prices with Deep Learning and Advanced Machine Learning Techniques
Victor Chang, Qianwen Xu, Anyamele Chidozie, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3396-3396
Open Access | Times Cited: 6
Accurate Stock Price Forecasting Based on Deep Learning and Hierarchical Frequency Decomposition
Yi Li, Lei Chen, Cuiping Sun, et al.
IEEE Access (2024) Vol. 12, pp. 49878-49894
Open Access | Times Cited: 5
A Novel Integrated Approach for Stock Prediction Based on Modal Decomposition Technology and Machine Learning
Yu Sun, Sofianita Mutalib, Nasiroh Omar, et al.
IEEE Access (2024) Vol. 12, pp. 95209-95222
Open Access | Times Cited: 4
Time series forecasting of stock market indices based on DLWR-LSTM model
Dingjun Yao, Kai Yan
Finance research letters (2024) Vol. 68, pp. 105821-105821
Closed Access | Times Cited: 4
Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin, D. A. Martysyuk, В С Тынченко, et al.
Polymers (2024) Vol. 16, Iss. 23, pp. 3368-3368
Open Access | Times Cited: 4
Diagnosis of Alzheimer’s disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data
Luyun Wang, Jinhua Sheng, Qiao Zhang, et al.
Cerebral Cortex (2025)
Closed Access
Damage Detection for Truss Bridge Structure Using XGBoost
Huu Quyet Nguyen, Tran Ngoc Hoa, Ngoc‐Lan Nguyen, et al.
Advances in science and technology (2025) Vol. 158, pp. 65-74
Closed Access
Pattern-oriented Attention Mechanism for Multivariate Time Series Forecasting
Hanwen Hu, Zhangchi Han, Shiyou Qian, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access
Real-time prediction of port water levels based on EMD-PSO-RBFNN
Lijun Wang, Shenghao Liao, Sisi Wang, et al.
Frontiers in Marine Science (2025) Vol. 12
Open Access
Enhancing Music Audio Signal Recognition through CNN-BiLSTM Fusion with De-noising Autoencoder for Improved Performance
Xin Mao, Ye Tian, Tao Jin, et al.
Neurocomputing (2025), pp. 129607-129607
Closed Access
PyPortOptimization: A Portfolio Optimization Pipeline Leveraging Multiple Expected Return Methods, Risk Models, and Post-Optimization Allocation Techniques
Rushikesh Nakhate, Harikrishnan Ramachandran, Anjali Mahajan
MethodsX (2025) Vol. 14, pp. 103211-103211
Open Access
Beyond spatial neighbors: Utilizing multivariate transfer entropy for interpretable graph-based spatio–temporal forecasting
Safaa Berkani, Adil Bahaj, Bassma Guermah, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110161-110161
Closed Access
Feature-driven hybrid attention learning for accurate water quality prediction
Xuan Yao, Zeshui Xu, Tianyu Ren, et al.
Expert Systems with Applications (2025), pp. 127160-127160
Closed Access
Forecasting stock market time series through the integration of bee colony optimizer and multivariate empirical mode decomposition with extreme gradient boosting regression
Xuefeng Liu, Zhixin Wu, Jiayue Xin
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110353-110353
Closed Access
Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework
Renu Saraswat, Ajit Kumar
Journal of Forecasting (2025)
Closed Access
Time–Frequency Domain Joint Noise Reduction Multi-Resolution Power System Time Series Prediction Network
Zhaofeng Cao, Hangwei Tian, Qihao Xu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110255-110255
Closed Access
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system
Wendong Yang, Hao Zhang, Jianzhou Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103267-103267
Closed Access
PPTformer: A novel hybrid model for enhanced long-term time series forecasting with extreme value focus
Jian Liu, Junkang Guo, Lei Gao, et al.
Knowledge-Based Systems (2025), pp. 113456-113456
Closed Access
Real-time control parameter update and stochastic tool wear monitoring framework for nonlinear micro-milling process
Pengfei Ding, Zhijie Liu, Xianzhen Huang, et al.
Precision Engineering (2025)
Closed Access
Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies
Mohiuddin Ahmed Bhuiyan, Md. Oliullah Rafi, Gourab Nicholas Rodrigues, et al.
Array (2025), pp. 100390-100390
Open Access
STGAT: Spatial–Temporal Graph Attention Neural Network for Stock Prediction
Ruizhe Feng, Shanshan Jiang, Xingyu Liang, et al.
Applied Sciences (2025) Vol. 15, Iss. 8, pp. 4315-4315
Open Access
From News to Trends: A Financial Time Series Forecasting Framework with LLM-Driven News Sentiment Analysis and Selective State Spaces
Renjie Wang, Minghui Sun, Limin Wang
Research Square (Research Square) (2025)
Closed Access
Page 1 - Next Page

Scroll to top