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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:

Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image
Shubhi Gupta, Sanjeev Thakur, Ashutosh Gupta
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 34291-34322
Closed Access | Times Cited: 13

Showing 13 citing articles:

Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Ayesha Jabbar, Shahid Naseem, Jianqiang Li, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Revolutionizing diabetic retinopathy detection using DB-SCA-UNet with Drop Block-Based Attention Model in deep learning for precise analysis of color retinal images
Anil Kumar Bondala, Kranthi Kumar Lella
The European Physical Journal Special Topics (2024)
Closed Access
Cloud-Based Diabetic Retinopathy Severity Recognition System Using Ensemble Deep Convolutional Neural Network Classifier Model
Rajkumar Rajavel, Partheeban Nagappan
Lecture notes in networks and systems (2024), pp. 323-330
Closed Access
Computer Vision and Its Algorithmic Evolution in Image Understanding
B S Smitha, Alok Pal Jain, D Sreenivasulu, et al.
(2024), pp. 1295-1300
Closed Access
Signal Detection of MIMO System with One Bit ADCS Based on Deep Learning
Anurag Shrivastava, Meenakshi Maindola, Haider Alabdeli, et al.
(2024), pp. 1773-1781
Closed Access
Advanced Computational Frameworks for High-Resolution Biospeckle Image Analysis: Integrating Machine Learning and Optical Coherence Techniques for Enhanced Biological Tissue Characterization
Aravinda Konidena, Tejaswini Rangaraju, Atul Singla, et al.
(2024), pp. 1257-1262
Closed Access
Advancing Mobile Health Technologies in Chronic Disease Management and Patient Empowerment
N Lakshmi Deepthi, Gopal Kaliyaperumal, Ginni Nijhawan, et al.
(2024), pp. 1270-1276
Closed Access
Digital Imaging Analyzing and Reproducing Color, Texture, and Material Appearance
Sujin Jose Arul, Sajja Suneel, Manish Gupta, et al.
(2024), pp. 1307-1312
Closed Access
Leveraging XGBoost for Predictive Analytics in Healthcare: Enhancing Disease Diagnosis
Anurag Shrivastava, Arnav Kotiyal, Mohammed I. Habelalmateen, et al.
(2024), pp. 1666-1672
Closed Access
Applying Convolutional Neural Networks for Disease Detection in Crop Images
Gulshan Dhasmana, Hassan M. Al–Jawahry, A. Deepak, et al.
(2024), pp. 1727-1732
Closed Access
A Survey of Machine Learning and Deep Learning Techniques for Classifying Dermatoscopic Images for Skin Cancer Prediction
Yashasvi, P. Aswini, V Revathi, et al.
(2024), pp. 1-6
Closed Access
Detection of Diabetic Retinopathy Using Discrete Wavelet-Based Center-Symmetric Local Binary Pattern and Statistical Features
Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore
Deleted Journal (2024)
Closed Access
Revolutionizing Cancer Diagnosis with Deep Learning: A Case Study Using U-Net
Himanshu Rai Goyal, Mohammed Al-Farouni, Akshay Deepak, et al.
(2024), pp. 1721-1726
Closed Access
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