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:

Multi-disease prediction using LSTM recurrent neural networks
Lu Men, Noyan Ilk, Xinlin Tang, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114905-114905
Closed Access | Times Cited: 83

Showing 26-50 of 83 citing articles:

A novel method for distinction heart rate variability during meditation using LSTM recurrent neural networks based on visibility graph
Mahda Nasrolahzadeh, Zeynab Mohammadpoory, Javad Haddadnia
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105822-105822
Closed Access | Times Cited: 7

Cassava Plant Disease Detection Using Transfer Learning with Convolutional Neural Networks
J. Alford, Eva Tuba
(2024), pp. 1-6
Closed Access | Times Cited: 2

iHELP: Personalised Health Monitoring and Decision Support Based on Artificial Intelligence and Holistic Health Records
George Manias, Harm op den Akker, Ainhoa Azqueta-Alzúaz, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2021), pp. 1-8
Open Access | Times Cited: 12

An Effective Hybrid Model of ELM and Enhanced GWO for Estimating Compressive Strength of Metakaolin-Contained Cemented Materials
Abidhan Bardhan, Raushan Kumar Singh, Mohammed Alatiyyah, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1521-1555
Open Access | Times Cited: 1

A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT
Ramesh Balaraju, Kuruva Lakshmanna
Recent Advances in Computer Science and Communications (2024) Vol. 17, Iss. 4
Closed Access | Times Cited: 1

Prediction of mild cognitive impairment using EEG signal and BiLSTM network
Tahani Jaser Alahmadi, Atta Ur Rahman, Zaid Ali Alhababi, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025028-025028
Open Access | Times Cited: 1

TriKSV-LG: a robust approach to disease prediction in healthcare systems using AI and Levy Gazelle optimization
D. Kavitha, Prema Vinayagasundaram, Vidhya Anbalagan, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-17
Closed Access | Times Cited: 1

A three-directional stress-strain model-based physics-embedded prediction framework for metal tube full-bent cross-sectional characteristics
Yongzhe Xiang, Zili Wang, Shuyou Zhang, et al.
Computers in Industry (2024) Vol. 163, pp. 104153-104153
Closed Access | Times Cited: 1

Dark Web: E-Commerce Information Extraction Based on Name Entity Recognition Using Bidirectional-LSTM
Syed Afeef Ahmed Shah, Muhammad Ali Masood, Amanullah Yasin
IEEE Access (2022) Vol. 10, pp. 99633-99645
Open Access | Times Cited: 7

Predicting heart failure in-hospital mortality by integrating longitudinal and category data in electronic health records
Meikun Ma, Xiaoyan Hao, Jumin Zhao, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 7, pp. 1857-1873
Closed Access | Times Cited: 4

Development of a service parts recommendation system using clustering and classification of machine learning
Young-Hwan Choi, Jinwon Lee, Jeongsam Yang
Expert Systems with Applications (2021) Vol. 188, pp. 116084-116084
Closed Access | Times Cited: 9

Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach
Mokhalad A. Majeed, Helmi Zulhaidi Mohd Shafri, Aimrun Wayayok, et al.
Geospatial health (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 3

An efficient and low complex model for optimal RBM features with weighted score-based ensemble multi-disease prediction
T. P. Anish, P. M. Joe Prathap
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 26, Iss. 3, pp. 350-372
Closed Access | Times Cited: 4

Evaluation of Artificial Intelligence-Based Models for the Diagnosis of Chronic Diseases
Abu Montakim Tareq, Abdullah Al Mahfug, Mohammad Imtiaz Faisal, et al.
Lecture notes in networks and systems (2023), pp. 597-626
Closed Access | Times Cited: 2

Multi-Disease Prediction Techniques using Machine and Deep Learning
M. Kalaivani, R. Shalini
(2023) Vol. 1, pp. 1-5
Closed Access | Times Cited: 2

An Ensemble of Long Short-Term Memory Networks with an Attention Mechanism for Upper Limb Electromyography Signal Classification
Naif D. Alotaibi, Hadi Jahanshahi, Qijia Yao, et al.
Mathematics (2023) Vol. 11, Iss. 18, pp. 4004-4004
Open Access | Times Cited: 2

Interpretable multidisease diagnosis and label noise detection based on a matching network and self-paced learning
Jiawei Long, Jiangtao Ren
Pattern Recognition (2023) Vol. 148, pp. 110178-110178
Closed Access | Times Cited: 2

Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Research Square (Research Square) (2022)
Open Access | Times Cited: 3

Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future
R.C. Theijeswini, Soumya Basu, Rayapadi G. Swetha, et al.
Health and Technology (2024) Vol. 14, Iss. 2, pp. 251-261
Closed Access

TOO-BERT: A Trajectory Order Objective BERT for self-supervised representation learning of temporal healthcare data
Ali Amirahmadi, Kobra Etminani, Jonas Björk, et al.
Research Square (Research Square) (2024)
Open Access

An efficient cardio vascular disease prediction using multi-scale weighted feature fusion-based convolutional neural network with residual gated recurrent unit
K. Gunasekaran, V. D. Ambeth Kumar, Jayashree Kharge
Computer Methods in Biomechanics & Biomedical Engineering (2024) Vol. 27, Iss. 9, pp. 1181-1205
Closed Access

Enhancing Disease Prediction through Ensemble Learning Techniques
Suhail Rashid Wani, Shree Harsh Attri, Sonia Setia
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 974-980
Closed Access

Scroll to top