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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 Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases
Kavita Thakur, Manjot Kaur, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4477-4497
Open Access | Times Cited: 20

Showing 20 citing articles:

Monkeypox diagnosis based on probabilistic K-nearest neighbors (PKNN) algorithm
Ahmed I. Saleh, Shaimaa A. Hussien
Computers in Biology and Medicine (2025) Vol. 186, pp. 109676-109676
Closed Access
Development of a handheld GPU-assisted DSC-TransNet model for the real-time classification of plant leaf disease using deep learning approach
Midhun P. Mathew, M. Sudheep Elayidom, V P Jagathy Raj, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Design and performance optimization of a lead-free Cs2AgBiBr6 perovskite solar cell with graphene quantum dot hole transport layer using SCAPS-1D and machine learning
Md Amanullah Saifee, Md. Shahjahan Ali, Firoz Khan, et al.
Journal of Optics (2025)
Closed Access
A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Azam Mehmood Qadri, Ali Raza, Fatma Eid, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100352-100352
Open Access | Times Cited: 14
Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection
Nabeela Yaqoob, Muhammad Attique Khan, Saleha Masood, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
A Comprehensive Study on Deep Learning Models for the Detection of Ovarian Cancer and Glomerular Kidney Disease using Histopathological Images
S J K Jagadeesh Kumar, G. Prabu Kanna, D. Prem Raja, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
CSDNet: A Novel Deep Learning Framework for Improved Cataract State Detection
Lahari P.L, Ramesh Vaddi, Mahmoud O. Elish, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 983-983
Open Access | Times Cited: 2
A Comprehensive Study of Deep Learning Methods for Kidney Tumor, Cyst, and Stone Diagnostics and Detection Using CT Images
Yogesh Kumar, Tejinder Pal Singh Brar, Chhinder Kaur, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 2
Machine Learning Based Approaches for Livestock Symptoms and Diseases Prediction and Classification
Priya Bhardwaj, S J K Jagadeesh Kumar, G. Prabu Kanna, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
A hybridized LSTM-ANN-RSA based deep learning models for prediction of COVID-19 cases in Eastern European countries
B. Murali Manohar, Raja Das, M. Lakshmi
Expert Systems with Applications (2024) Vol. 256, pp. 124977-124977
Closed Access | Times Cited: 1
The Intelligent Infectious Disease Active Surveillance and Early Warning System in China: an Application of Dengue Prevention and Control
Liangyu Kang, Jian Hu, Kangning Cai, et al.
Global Transitions (2024)
Open Access | Times Cited: 1
A Comprehensive Analysis of Hypertension Disease Risk-Factors, Diagnostics, and Detections Using Deep Learning-Based Approaches
Simranjit Kaur, Khushboo Bansal, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 4, pp. 1939-1958
Closed Access | Times Cited: 3
Continuous Physiological Signal Monitoring Using Wearables for the Early Detection of Infectious Diseases: A Review
Shanmugam Somasundaram, S. Sridevi, Murugappan Murugappan, et al.
(2024), pp. 193-218
Closed Access
Advancements in Artificial Intelligence Techniques for Diagnosis and Detection in 3D Medical Images
Maitry Bimalbhai Desai, Shilpa Pandey, Yogesh Kumar
(2024), pp. 1-7
Closed Access
Neural Network Model for Predicting Progression of Disease
Zvezdan Stojanović, Elvir Čajić, Dario Galić
TEM Journal (2024), pp. 1805-1812
Open Access
Efficient Approach for Diagnosis and Detection of Alzheimer Diseases Using Deep Learning
Maitry Bimalbhai Desai, Yogesh Kumar, Shilpa Pandey
(2024), pp. 1-5
Closed Access
Multiple Infectious Disease Diagnosis and Detection Using Advanced CNN Models
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, et al.
Lecture notes in networks and systems (2024), pp. 45-58
Closed Access
Pathogen-driven Infectious Disease Recognition and Classification: An In-depth Analysis using Machine Learning and Deep Learning Methods
Linquan Bai, Manju Devi
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1729-1734
Closed Access
Role of artificial intelligence in early diagnosis and treatment of infectious diseases
Vartika Srivastava, Ravinder Kumar, Mohmmad Younus Wani, et al.
Infectious Diseases (2024), pp. 1-26
Closed Access
Machine Learning Approaches in Virtual Biopsy: A Review of Recent Developments and Applications
Ajaz Shah, Vishwam Modi, Yogesh Kumar
(2024), pp. 1-6
Closed Access
Automated System for Prediction and Prognosis of Infection Diseases Using Deep Learning-Based Approaches
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 34, pp. 2730-2739
Open Access
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