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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:

Supporting Malaria Diagnosis Using Deep Learning and Data Augmentation
Kenia Hoyos, William Hoyos
Diagnostics (2024) Vol. 14, Iss. 7, pp. 690-690
Open Access | Times Cited: 11

Showing 11 citing articles:

Deep learning method for malaria parasite evaluation from microscopic blood smear
Abhinav Dahiya, Devvrat Raghuvanshi, Chhaya Sharma, et al.
Artificial Intelligence in Medicine (2025), pp. 103114-103114
Closed Access
Lossless Compression of Malaria-Infected Erythrocyte Images Using Vision Transformer and Deep Autoencoders
Md. Firoz Mahmud, Zerin Nusrat, W. David Pan
Computers (2025) Vol. 14, Iss. 4, pp. 127-127
Open Access
Machine learning evidence towards eradication of malaria burden: A scoping review
Idara James, Veronica OSUBOR
Applied Computer Science (2025) Vol. 21, Iss. 1, pp. 44-69
Open Access
Efficient Compression of Red Blood Cell Image Dataset Using Joint Deep Learning-Based Pattern Classification and Data Compression
Zerin Nusrat, Md. Firoz Mahmud, W. David Pan
Electronics (2025) Vol. 14, Iss. 8, pp. 1556-1556
Open Access
Hyperparameter Tuning of EfficientNet Method for Optimization of Malaria Detection System Based on Red Blood Cell Image
Yuri Pamungkas, Dwinka Syafira Eljatin
Jurnal Sisfokom (Sistem Informasi dan Komputer) (2024) Vol. 13, Iss. 3, pp. 360-368
Open Access | Times Cited: 1
A Graphical User Interface Based on Logistic Regression Approach for Malarial Detection
Manish Kumar, Bikash Kanti Sarkar
(2024)
Open Access
Deep Learning Advancements in Malaria Diagnosis
Saravana Kumar, Saraswathi Meena R., S. Hirthick, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 208-232
Closed Access
A Graphical User Interface Based on Logistic Regression Approach for Malarial Detection
Manish Kumar, Bikash Kanti Sarkar
Qeios (2024)
Open Access
MALARIA PARASITE DETECTION IN RED BLOOD CELLS WITH ROULEAUX FORMATION MORPHOLOGY USING YOLOv9
Fatima Abdullahi Muhammad, Rubita Sudirman, Nor Aini Zakaria
Tissue and Cell (2024) Vol. 93, pp. 102677-102677
Closed Access
An Alternative Deep Learning Approach for Early Diagnosis of Malaria
Jayavrinda Vrindavanam, Evans Jasmine, Gaurav Kamath, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-7
Closed Access
Evaluation of an Artificial Intelligence-Based Tool and a Universal Low-Cost Robotized Microscope for the Automated Diagnosis of Malaria
Carles Rubio Maturana, Allisson Dantas de Oliveira, Francesc Zarzuela, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 22, Iss. 1, pp. 47-47
Open Access
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