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:

Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42851-42899
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
Law Kumar Singh, Munish Khanna, Himanshu Monga, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 761-824
Closed Access | Times Cited: 14

Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images
Law Kumar Singh, Munish Khanna, Rekha Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 77873-77944
Closed Access | Times Cited: 13

A Lightweight Diabetic Retinopathy Detection Model Using a Deep-Learning Technique
Abdul Rahaman Wahab Sait
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3120-3120
Open Access | Times Cited: 14

Improve the efficiency and accuracy of ophthalmologists’ clinical decision-making based on AI technology
Yingxuan Guo, Changke Huang, Yaying Sheng, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5

Dendritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World Optimization Problems
Ishaani Priyadarshini
Biomimetics (2024) Vol. 9, Iss. 3, pp. 130-130
Open Access | Times Cited: 4

A deep learning based model for diabetic retinopathy grading
Samia Akhtar, Shabib Aftab, Omar Farouk, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images
Sultan Daud Khan, Saleh Basalamah, Ahmed Lbath
Medical & Biological Engineering & Computing (2025)
Closed Access

Pixel-wise classification of the whole retinal vasculature into arteries and veins using supervised learning
Monika Mokan, Goldie Gabrani, Devanjali Relan
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107691-107691
Closed Access

Fundus image classification using feature concatenation for early diagnosis of retinal disease
Sara Ejaz, Hafiz Usman Zia, Fiaz Majeed, et al.
Digital Health (2025) Vol. 11
Open Access

HybridGWOSPEA2ABC: a novel feature selection algorithm for gene expression data analysis and cancer classification
Ashimjyoti Nath, Chandan Jyoti Kumar, Sanjib Kr. Kalita, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-22
Closed Access

Hybrid human-artificial intelligence system for early detection and classification of AMD from fundus image
Imen Kallel, Sonda Kammoun
Signal Image and Video Processing (2024) Vol. 18, Iss. 5, pp. 4779-4796
Closed Access | Times Cited: 3

Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach
Junjie Bin, Mei‐Hwan Wu, Meiyun Huang, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3

RETRACTED ARTICLE: Features fusion based novel approach for efficient blood vessel segmentation from fundus images
Law Kumar Singh, Munish Khanna, Dheeraj Mansukhani, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 55109-55145
Closed Access | Times Cited: 9

Enhancing Medical Image Classification with an Advanced Feature Selection Algorithm: A Novel Approach to Improving the Cuckoo Search Algorithm by Incorporating Caputo Fractional Order
Abduljlil Abduljlil Ali Abduljlil Habeb, Mundher Mohammed Taresh, Jintang Li, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1191-1191
Open Access | Times Cited: 2

Detection of optic disc in human retinal images utilizing the Bitterling Fish Optimization (BFO) algorithm
A. Aldo Faisal, Jorge Munilla, Javad Rahebi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Debendra Muduli, Rani Kumari, Adnan Akhunzada, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Surface characteristics of in-situ Al-2Mg/20 Al3Fe composite in wire-EDM: experiments, modeling and optimizations by MORSM and metaheuristic approaches
Gaurav Anand, Santanu Sardar, Satesh Sah, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 6, pp. 3965-3996
Closed Access | Times Cited: 1

The use of artificial neural networks in studying the progression of glaucoma
Filip Târcoveanu, Florin Leon, Cătălin Lisa, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

A retinal detachment based strabismus detection through FEDCNN
Ayesha Jabbar, Muhammad Kashif Jabbar, Tariq Mahmood, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

An effective data-driven water quality modeling and water quality risk assessment method
Zhiyao Zhao, Bing Fan, Yuqin Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109457-109457
Closed Access | Times Cited: 1

Glaucoma Detection Using Convolutional Neural Network
Divya Khichi, Priyanka Jangde, Kamal Kumar Sethi
(2024), pp. 1-8
Closed Access | Times Cited: 1

Optimization Accuracy of CNN Model by Utilizing CLAHE Parameters in Image Classification Problems
Anjar Wanto, Yuhandri Yunus, Okfalisa Okfalisa
(2023)
Closed Access | Times Cited: 2

A Comprehensive Approach for Predicting Different Types of Retinal Detachment with ML Algorithms
E Anitha, D. John Aravindhar, A. Antonidoss
Algorithms for intelligent systems (2024), pp. 333-347
Closed Access

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