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:

Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review
Yogesh Kumar, Surbhi Gupta
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 521-541
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges
Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1863-1895
Open Access | Times Cited: 105
A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images
Pushpendra Singh Sisodia, Gaurav Ameta, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2409-2429
Closed Access | Times Cited: 43
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
Vijaya Kumar Velpula, Lakhan Dev Sharma
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 36
A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Genetic Disorders Using Various Gene Disorders
Neelam Chaplot, Dhiraj Pandey, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3301-3323
Closed Access | Times Cited: 25
Foodborne Disease Symptoms, Diagnostics, and Predictions Using Artificial Intelligence-Based Learning Approaches: A Systematic Review
Yogesh Kumar, Inderpreet Kaur, Shakti Mishra
Archives of Computational Methods in Engineering (2023)
Closed Access | Times Cited: 25
A Review on Prediction and Prognosis of the Prostate Cancer and Gleason Grading of Prostatic Carcinoma Using Deep Transfer Learning Based Approaches
G. Prabu Kanna, S J K Jagadeesh Kumar, Pavithra Parthasarathi, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3113-3132
Closed Access | Times Cited: 24
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: 24
Student Cheating Detection in Higher Education by Implementing Machine Learning and LSTM Techniques
Waleed Alsabhan
Sensors (2023) Vol. 23, Iss. 8, pp. 4149-4149
Open Access | Times Cited: 23
Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Service Oriented Computing and Applications (2024) Vol. 18, Iss. 2, pp. 163-182
Closed Access | Times Cited: 9
AMDNet23: Hybrid CNN-LSTM deep learning approach with enhanced preprocessing for age-related macular degeneration (AMD) detection
Md. Aiyub Ali, Md. Shakhawat Hossain, Md. Kawsar Hossain, et al.
Intelligent Systems with Applications (2024) Vol. 21, pp. 200334-200334
Open Access | Times Cited: 8
Automatic glaucoma detection from fundus images using transfer learning
Rajeshwar Patil, Sanjeev Sharma
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78207-78226
Closed Access | Times Cited: 8
A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases
Krishna Modi, Ishbir Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 4733-4756
Closed Access | Times Cited: 17
An Analysis of Deep Transfer Learning-Based Approaches for Prediction and Prognosis of Multiple Respiratory Diseases Using Pulmonary Images
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1023-1049
Closed Access | Times Cited: 17
Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review
Komalpreet Kaur, Charanjit Singh, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3031-3058
Closed Access | Times Cited: 16
A Review of Deep Learning-Based Approaches for Detection and Diagnosis of Diverse Classes of Drugs
Ashish Kumar, Nishant Kumar, Jeril Kuriakose, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 6, pp. 3867-3889
Closed Access | Times Cited: 16
Fine-grained activity classification in assembly based on multi-visual modalities
Haodong Chen, Niloofar Zendehdel, Ming C. Leu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 5, pp. 2215-2233
Open Access | Times Cited: 16
Cataract and Glaucoma Detection Based on Transfer Learning Using MobileNet
Sheikh Muhammad Saqib, Muhammad Iqbal, Muhammad Zubair Asghar, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36759-e36759
Open Access | Times Cited: 7
Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic
Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 27
Educational Innovation Faced with COVID-19: Deep Learning for Online Exam Cheating Detection
Intan Nurma Yulita, Fauzan Akmal Hariz, Ino Suryana, et al.
Education Sciences (2023) Vol. 13, Iss. 2, pp. 194-194
Open Access | Times Cited: 14
Analysis of Deep Learning Techniques for Prediction of Eye Diseases: A Systematic Review
Akanksha Bali, Vibhakar Mansotra
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 487-520
Closed Access | Times Cited: 13
Deep learning-based CNN for multiclassification of ocular diseases using transfer learning
G. Divya Deepak, Subraya Krishna Bhat
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 5
A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images
Priya Bhardwaj, Sanjeev Kumar, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4499-4516
Closed Access | Times Cited: 11
Optimized deep transfer learning techniques for spine fracture detection using CT scan images
G. Prabu Kanna, Jagadeesh Kumar, Pavithra Parthasarathi, et al.
Multimedia Tools and Applications (2025)
Closed Access
Cloud-Based Optimized Deep Learning Framework for Automated Glaucoma Detection Using Stationary Wavelet Transform and Improved Grey-Wolf-Optimization with ELM Approach
Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, et al.
Results in Engineering (2025), pp. 104682-104682
Open Access
Cataract disease classification from fundus images with transfer learning based deep learning model on two ocular disease datasets
Halit ÇETİNER
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2023)
Open Access | Times Cited: 10
Page 1 - Next Page

Scroll to top