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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:

Stock values predictions using deep learning based hybrid models
Konark Yadav, Milind Yadav, Sandeep Saini
CAAI Transactions on Intelligence Technology (2021) Vol. 7, Iss. 1, pp. 107-116
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Remote Sensing Image Classification: A Comprehensive Review and Applications
Maryam Mehmood, Ahsan Shahzad, Bushra Zafar, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-24
Open Access | Times Cited: 75
Internet of medical things: A systematic review
Chenxi Huang, Jian Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 557, pp. 126719-126719
Open Access | Times Cited: 49
Detection and Classification of Colorectal Polyp Using Deep Learning
Sushama Tanwar, S. Vijayalakshmi, Munish Sabharwal, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 37
Association mining based deep learning approach for financial time-series forecasting
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 9
LLM-Augmented Linear Transformer–CNN for Enhanced Stock Price Prediction
Lei Zhou, Yuqi Zhang, Jian Yu, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 487-487
Open Access | Times Cited: 1
A Systematic Review of Computational Image Steganography Approaches
Sharanpreet Kaur, Surender Singh, Manjit Kaur, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4775-4797
Closed Access | Times Cited: 34
Extrapolation over temporal knowledge graph via hyperbolic embedding
Yan Jia, Mengqi Lin, Ye Wang, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 2, pp. 418-429
Closed Access | Times Cited: 21
Accelerating topology optimization using deep learning-based image super-resolution
Jaekyung Lim, Kyusoon Jung, Youngsuk Jung, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108370-108370
Closed Access | Times Cited: 6
A Novel Encoder-Decoder Model for Multivariate Time Series Forecasting
Huihui Zhang, Shicheng Li, Yu Chen, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 27
A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction
Mohammad Daradkeh
Electronics (2022) Vol. 11, Iss. 2, pp. 250-250
Open Access | Times Cited: 22
Enhanced Multi-variate Time Series Prediction Through Statistical-Deep Learning Integration: The VAR-Stacked LSTM Model
Mohd Sakib, Suhel Mustajab
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 3
Forecasting real exchange rate (REER) using artificial intelligence and time series models
Moiz Qureshi, Nawaz Ahmad, Saif Ullah, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16335-e16335
Open Access | Times Cited: 8
Stock Price Prediction using Facebook Prophet
Sumedh Kaninde, Manish Mahajan, Aditya Janghale, et al.
ITM Web of Conferences (2022) Vol. 44, pp. 03060-03060
Open Access | Times Cited: 12
Affect and stress detection based on feature fusion of LSTM and 1DCNN
Mingxu Feng, Tianshu Fang, Chaozhu He, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 4, pp. 512-520
Closed Access | Times Cited: 7
Optimized Computational Intelligence Model for Estimating the Flexural Behavior of Composite Shear Walls
Masoomeh Mirrashid, Hosein Naderpour, Denise‐Penelope N. Kontoni, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2358-2358
Open Access | Times Cited: 7
Integrating PCA with deep learning models for stock market Forecasting: An analysis of Turkish stocks markets
T. Uckan
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102162-102162
Open Access | Times Cited: 2
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions
Jayaraman Kumarappan, R Elakkiya, V. Subramaniyaswamy, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
[Retracted] Feature Importance Score‐Based Functional Link Artificial Neural Networks for Breast Cancer Classification
Shatakshi Singh, Sunil Kumar Jangir, Manish Kumar, et al.
BioMed Research International (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 11
Improved Frame-Wise Segmentation of Audio Signals for Smart Hearing Aid Using Particle Swarm Optimization-Based Clustering
Tushar Mehrotra, Neha Shukla, Tarunika Chaudhary, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 11
Advancing Financial Forecasts: A Deep Dive into Memory Attention and Long-Distance Loss in Stock Price Predictions
Shijie Yang, Yining Ding, Boyu Xie, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12160-12160
Open Access | Times Cited: 5
Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction
Sneha S. Bagalkot, Dinesha H. A, Nagaraj Naik
PeerJ Computer Science (2024) Vol. 10, pp. e1735-e1735
Open Access | Times Cited: 1
Analyzing the critical steps in deep learning-based stock forecasting: a literature review
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e2312-e2312
Open Access | Times Cited: 1
A Survey of Price Prediction using Deep Learning Classifier for Multiple Stock Datasets
K Karthik, V. Ranjithkumar, Sanjay Kiran K P, et al.
(2023), pp. 1268-1275
Closed Access | Times Cited: 4
Prediction Model for Stock Trading using Combined Long Short Term Memory and Neural Prophet with Regressors
Barani Shaju, Valliammal Narayan
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 956-964
Open Access | Times Cited: 4
A Novel Approach for Predict Stock Prices in Fusion of Investor's Sentiment and Stock Data
Harmanjeet Singh, Manisha Malhotra
(2023), pp. 1163-1169
Closed Access | Times Cited: 4
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