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:

Prediction of different stages in Diabetic retinopathy from retinal fundus images using radial basis function based SVM
Manoj Kumar Behera
Indian Journal of Science and Technology (2020) Vol. 13, Iss. 20, pp. 2030-2040
Open Access | Times Cited: 6

Showing 6 citing articles:

Detection of Diabetic Retinopathy in Retinal Fundus Images Using CNN Classification Models
Al-Omaisi Asia, Chengzhang Zhu, Sara A. Althubiti, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2740-2740
Open Access | Times Cited: 49

A bi-directional Long Short-Term Memory-based Diabetic Retinopathy detection model using retinal fundus images
M.S.B. Phridviraj, Raghuram Bhukya, Sujatha Madugula, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100174-100174
Open Access | Times Cited: 13

Detection of Nuclear Cataract in Retinal Fundus Image using RadialBasis FunctionbasedSVM
Manoj Kumar Behera, Sujata Chakravarty, Apurwa Gourav, et al.
(2020), pp. 278-281
Closed Access | Times Cited: 11

Towards improved fundus disease detection using Swin Transformers
M. Abdul Jawad, Farida Khursheed, Shah Nawaz, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 78125-78159
Closed Access

A Diabetic Retinopathy Classification and Analysis Towards the Development of a Computer-Aided Medical Decision Support System
Mohammad Aknan, S. Chandra, Shivani Gupta, et al.
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access

Prediction of diabetic retinopathy using novel deep convolutional neural network method in comparison with support vector machine model to improve accuracy
S. Jyotheeswar, K. V. Kanimozhi
AIP conference proceedings (2023) Vol. 2822, pp. 020079-020079
Closed Access

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