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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:

Survey on Recent Trends in Medical Image Classification Using Semi-Supervised Learning
Zahra Solatidehkordi, Imran Zualkernan
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12094-12094
Open Access | Times Cited: 18

Showing 18 citing articles:

A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander Wong
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
PET radiomics in lung cancer: advances and translational challenges
Yongbai Zhang, Wenpeng Huang, Hao Jiao, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
A survey on computer vision approaches for automated classification of skin diseases
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Optimizing semi-supervised medical image segmentation with imbalanced filtering and nnU-Net enhancement
Y. Y. Duan, Peng Wang, Yan Huang, et al.
The Visual Computer (2025)
Closed Access
Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review
Hafsa Laçi, Kozeta Sevrani, Sarfraz Iqbal
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
A Critical Analysis of Deep Semi-Supervised Learning Approaches for Enhanced Medical Image Classification
Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, et al.
Information (2024) Vol. 15, Iss. 5, pp. 246-246
Open Access | Times Cited: 3
A survey of recent advances in analysis of skin images
Pragya Gupta, Jagannath Nirmal, Ninad Mehendale
Evolutionary Intelligence (2024) Vol. 17, Iss. 5-6, pp. 4155-4178
Closed Access | Times Cited: 2
Semi-supervised intracranial aneurysm segmentation via reliable weight selection
Cao Wei, Xin Chen, Jianping Lv, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 2
A Novel Method for Diagnosing Alzheimer’s Disease from MRI Scans using the ResNet50 Feature Extractor and the SVM Classifier
Farhana Islam, Md. Habibur Rahman, Nurjahan, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 4
Minimal FCN for image segmentation
Rodrigo Pereira Ramos, Jimena Olveres, Boris Escalante-Ramı́rez
(2024), pp. 8-8
Closed Access | Times Cited: 1
Overcoming the Small Dataset Challenge in Healthcare
Daniela Pais, Susana Brás, Raquel Sebastião
(2024), pp. 497-502
Closed Access | Times Cited: 1
E-Health Self-Help Diagnosis from Feces Images in Real Scenes
Fengxiang Liao, Jiahao Wan, Lu Leng, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 344-344
Open Access | Times Cited: 2
PumaMedNet-CXR: An Explainable Generative Artificial Intelligence for the Analysis and Classification of Chest X-Ray Images
Carlos Minutti-Martinez, Boris Escalante-Ramı́rez, Jimena Olveres
Lecture notes in computer science (2023), pp. 211-224
Closed Access | Times Cited: 1
Artificial intelligence: An explainer
Devyani Gajjar
(2023)
Open Access | Times Cited: 1
Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers
Ramtin Mojtahedi, Mohammad Hamghalam, William R. Jarnagin, et al.
Lecture notes in computer science (2023), pp. 311-321
Closed Access | Times Cited: 1
Artificial Intelligence in Intelligent Healthcare Systems–Opportunities and Challenges
А. Petreska, Blagoj Ristevski
Lecture notes in networks and systems (2024), pp. 123-143
Closed Access
Federated Learning in Healthcare with Unsupervised and Semi-Supervised Methods
Juan Paños-Basterra, M. Dolores Ruiz, Marı́a J. Martı́n-Bautista
Lecture notes in computer science (2023), pp. 182-193
Closed Access
Innovating Skin Cancer Detection with Transfer Learning, Feature Fusion, Efficient Data Management, Data Augmentation and Interdisciplinary Expertise for Better Outcomes
Mirac Turanli, MUSA CIM
(2023)
Open Access
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