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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 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 26-50 of 75 citing articles:

Hydraulic Rock Drill Fault Classification Using X−Vectors
Huixuan Ling, Tian Gao, Tao Gong, et al.
Mathematics (2023) Vol. 11, Iss. 7, pp. 1724-1724
Open Access | Times Cited: 3
Prediction of US 30-years-treasury-bonds mouvement and trading entry point using Robust 1DCNN-BiLSTM-XGBoost algorithm
Abdellah El Zaar, Nabil Benaya, Toufik Bakir, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 3
Techniques for Stock Market Prediction: A Review
Rachna Sable, Shivani Goel, Pradeep Chatterjee
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 381-402
Open Access | Times Cited: 3
Pressure Prediction Study of Coal Mining Working Face Based on Nadam-LSTM
Jie Lu, Zhenlin Liu, Wangjie Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 83867-83880
Open Access | Times Cited: 3
Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate
Daolun Li, X. M. Zhou, Yanmei Xu, et al.
Energy (2023) Vol. 285, pp. 128767-128767
Closed Access | Times Cited: 2
Research on Forecasting and Risk Measurement of Internet Money Fund Returns Based on Error-Corrected 1DCNN-LSTM-SAM and VaR: Evidence From China
Wang Tengxi
IEEE Access (2023) Vol. 11, pp. 94205-94217
Open Access | Times Cited: 2
Prediction of US 30‐years‐treasury‐bonds movement and trading entry point using the robust 1DCNN‐BiLSTM‐XGBoost algorithm
Abdellah El Zaar, Nabil Benaya, Toufik Bakir, et al.
Expert Systems (2023) Vol. 41, Iss. 1
Closed Access | Times Cited: 2
Hidden Markov Guided Deep Learning Models for Forecasting Highly Volatile Agricultural Commodity Prices
V. Ramasubramanian, G. Avinash, Mrinmoy Ray, et al.
(2023)
Closed Access | Times Cited: 2
Stacked LSTM-GRU Long-Term Forecasting Model for Indonesian Islamic Banks
Yayat Sujatna, Adhitio Satyo Bayangkari Karno, Widi Hastomo, et al.
Knowledge Engineering and Data Science (2023) Vol. 6, Iss. 2, pp. 215-215
Open Access | Times Cited: 2
An LSTM-Based Model for Stock Price Prediction
V. Sarika, G. V. Siva Kamal, Shaantanu Pratham, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
A novel hybrid optimization ensemble learning approach for energy futures price forecasting
Linjie Zhan, Zhenpeng Tang
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 3, pp. 6697-6713
Closed Access
Research on Fault Detection by Flow Sequence Algorithm with Deep Learning Model for Industrial Internet of Things
Dongfeng Lei, Liang Zhao, Dengfeng Chen
(2024)
Open Access
Research on Fault Detection by Flow Sequence for Industrial Internet of Things in Sewage Treatment Plant Case
Dongfeng Lei, Liang Zhao, Dengfeng Chen
Sensors (2024) Vol. 24, Iss. 7, pp. 2210-2210
Open Access
Predicting Smart Office Electricity Consumption in Response to Weather Conditions Using Deep Learning
Zikri Wahyuzi, Ahmad Luthfi, Dhomas Hatta Fudholi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (2024) Vol. 8, Iss. 1, pp. 100-110
Open Access
R-DDQN: Optimizing Algorithmic Trading Strategies Using a Reward Network in a Double DQN
Chujin Zhou, Yuling Huang, Kai Cui, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1621-1621
Open Access
Comparación del desempeño de arquitecturas de memoria a corto y largo plazo (LSTM) en el pronóstico de precios de acciones: una investigación sobre el mercado bursátil mexicano
Samuel García
The Anáhuac Journal (2024) Vol. 24, Iss. 1
Open Access
Stock Market Index Prediction using Bi-directional Long Short-Term Memory
Muhammad Althaf Majid, Prilyandari Dina Saputri, Soehardjoepri Soehardjoepri
Journal of Applied Informatics and Computing (2024) Vol. 8, Iss. 1, pp. 55-61
Open Access
GAN-enhanced E-nose analysis: VTAAE for temporal dynamics in beef quality assessment
Viancy Vincent, Gobalakrishnan Natesan
Evolving Systems (2024)
Closed Access
Standardization of Enumeration Data Based on Text Features Using Convolutional Neural Network with Long Short Term Memory
Peng Tian, Yan Li, Xiaohui Wang, et al.
(2024), pp. 1-4
Closed Access
Spatiotemporal prediction of solidified dendrites based on convolutional long-short-term neural network
Hong Mao, Chenyang Xie, Jingwen Pan, et al.
Materials Today Communications (2024), pp. 110634-110634
Closed Access
Effective Convergence Trading of Sparse, Mean Reverting Portfolios
A. Rácz, Norbert Fogarasi
Computational Economics (2024)
Open Access
DeepONet-Inspired Architecture for Efficient Financial Time Series Prediction
Zeeshan Ahmad, Shu‐Di Bao, Meng Chen
Mathematics (2024) Vol. 12, Iss. 24, pp. 3950-3950
Open Access
Forecasting Wheat Futures with Convolutional Neural Networks
Leo H. Chan, Avi Thaker, Daniel Sonner
SSRN Electronic Journal (2024)
Closed Access
A Contribution to Time Series Analysis and Forecasting Using Deep Learning Approaches
Abdellah El Zaar, Amine Mansouri, Nabil Benaya, et al.
(2024), pp. 1-6
Closed Access
Integrating Deep Learning Techniques for Enhanced Stock Price Prediction
Shubbh Mewada, Devshri Pandya, Jignesh Thaker
Algorithms for intelligent systems (2024), pp. 539-553
Closed Access

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