Open Access Helper

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:

Scat-NET: COVID-19 diagnosis with a CNN model using scattergram images
Seda Arslan Tuncer, Hakan Ayyıldız, Mehmet Kalaycı, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104579-104579
Open Access | Times Cited: 10

Showing 10 citing articles:

Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases
Qiaosen Su, Fengsheng Wang, Dong Chen, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106054-106054
Closed Access | Times Cited: 52
A Transfer Learning and Explainable Solution to Detect mpox from Smartphones images
Mattia Giovanni Campana, Marco Colussi, Franca Delmastro, et al.
Pervasive and Mobile Computing (2024) Vol. 98, pp. 101874-101874
Open Access | Times Cited: 7
COFE-Net: An ensemble strategy for Computer-Aided Detection for COVID-19
Avinandan Banerjee, Rajdeep Bhattacharya, Vikrant Bhateja, et al.
Measurement (2021) Vol. 187, pp. 110289-110289
Open Access | Times Cited: 32
A systematic review of end-to-end framework for contactless fingerprint recognition: Techniques, challenges, and future directions
Pooja Kaplesh, Aastha Gupta, Divya Bansal, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110493-110493
Closed Access
Automatic base-model selection for white blood cell image classification using meta-learning
Eduardo Rivas-Posada, Mario I. Chacón-Murguía
Computers in Biology and Medicine (2023) Vol. 163, pp. 107200-107200
Closed Access | Times Cited: 9
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
Burak Taşçı, Gülay TAŞCI, Hakan Ayyıldız, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42735-42763
Closed Access | Times Cited: 9
Assessing population-sampling strategies for reducing the COVID-19 incidence
Miguel Guzmán-Merino, Christian Durán, Maria-Cristina Marinescu, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104938-104938
Open Access | Times Cited: 13
A convolutional neural network‐based, quantitative complete blood count scattergram‐mapping framework promptly screens acute promyelocytic leukemia with high sensitivity
Hongyan Liao, Yuanxin Xu, Qiang Meng, et al.
Cancer (2023) Vol. 129, Iss. 19, pp. 2986-2998
Closed Access | Times Cited: 1
Impact of Chronic Lung Disease Using Deep Learning: A Survey
N. Vignesh Kumaran, D Preethi
IFIP advances in information and communication technology (2022), pp. 46-59
Closed Access | Times Cited: 1
Unsupervised white matter lesion identification in multiple sclerosis (MS) using MRI segmentation and pattern classification: a novel approach with CVIPtools
Hanieh Ajami, Mahsa Kargar Nigjeh, Scott E. Umbaugh
(2023), pp. 59-59
Closed Access
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