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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:

An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet
Gonçalo Marques, Antonio Ferreras, Isabel de la Torre Díez
Multimedia Tools and Applications (2022) Vol. 81, Iss. 19, pp. 28061-28078
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Performance Analysis of Deep Learning Algorithms in Diagnosis of Malaria Disease
K. Hemachandran, Areej Alasiry, Mehrez Marzougui, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 534-534
Open Access | Times Cited: 57
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: 8
ROENet: A ResNet-Based Output Ensemble for Malaria Parasite Classification
Ziquan Zhu, Shuihua Wang‎, Yudong Zhang
Electronics (2022) Vol. 11, Iss. 13, pp. 2040-2040
Open Access | Times Cited: 34
Application of hybrid capsule network model for malaria parasite detection on microscopic blood smear images
S. Aanjan Kumar, Monoj Kumar Muchahari, S. Poonkuntran, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
VL-M2C: Leveraging deep learning approach for stage detection of malaria parasites
Gunjan Aggarwal, Mayank Kumar Goyal
Journal of Integrated Science and Technology (2025) Vol. 13, Iss. 3
Closed Access
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
Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants
Pensiri Akkajit, Arsanchai Sukkuea, Boonnisa Thongnonghin
Ecological Informatics (2023) Vol. 78, pp. 102328-102328
Closed Access | Times Cited: 12
Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight
Antonio Ferreras, Sandra Cano, Rosmeri Martínez‐Licort, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Closed Access | Times Cited: 11
Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection and Classification: A Systematic Review
Flavia Grignaffini, Patrizio Simeoni, Anna Alisi, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3174-3174
Open Access | Times Cited: 3
ICNN-Ensemble: An Improved Convolutional Neural Network Ensemble Model for Medical Image Classification
Javokhir Musaev, Abdulaziz Anorboev, Yeong‐Seok Seo, et al.
IEEE Access (2023) Vol. 11, pp. 86285-86296
Open Access | Times Cited: 10
Parasitic egg recognition using convolution and attention network
Nouar AlDahoul, Hezerul Abdul Karim, Mhd Adel Momo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Automatic detection of Opisthorchis viverrini egg in stool examination using convolutional-based neural networks
Tongjit Thanchomnang, Natthanai Chaibutr, Wanchai Maleewong, et al.
PeerJ (2024) Vol. 12, pp. e16773-e16773
Open Access | Times Cited: 3
Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma
Marco Leo, Pierluigi Carcagnì, Luca Signore, et al.
AI (2024) Vol. 5, Iss. 1, pp. 324-341
Open Access | Times Cited: 2
Bimodal machine learning model for unstable hips in infants: integration of radiographic images with automatically-generated clinical measurements
Hirokazu Shimizu, Ken Enda, Hidenori Koyano, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Deep learning-based computer assisted detection techniques for malaria parasite using blood smear images
Shankar Shambhu, Deepika Koundal, Prasenjit Das
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 105
Open Access | Times Cited: 5
Ensembled EfficientNetB3 architecture for multi-class classification of tumours in MRI images
Tina Dudeja, Sanjay Kumar Dubey, Ashutosh Kumar Bhatt
Intelligent Decision Technologies (2023) Vol. 17, Iss. 2, pp. 395-414
Closed Access | Times Cited: 4
Development of Low Cost, Automated Digital Microscopes Allowing Rapid Whole Slide Imaging for Detecting Malaria
Md. Sakib Bin Islam, Jahidul Islam, Munshi Sajidul Islam, et al.
(2024), pp. 73-96
Closed Access | Times Cited: 1
An optimized features selection approach based on Manta Ray Foraging Optimization (MRFO) method for parasite malaria classification
Javeria Amin, Muhammad Sharif, Ghulam Ali Mallah, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 6
A Transformer-based Algorithm for Automatically Diagnosing Malaria Parasite in Thin Blood Smear Images Using MobileViT
Abdolreza Marefat, Javad Hassannataj Joloudari, Maryam Rastgarpour
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
A Skin Cancer Detector Based on Transfer Learning and Feature Fusion
Hongguo Cai, Norriza Brinti Hussin, Huihong Lan, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 6, pp. 517-526
Closed Access | Times Cited: 2
Explainable AI Models on Radiographic Images Integrated with Clinical Measurements: Prediction for Unstable Hips in Infants
Hirokazu Shimizu, Ken Enda, Hidenori Koyano, et al.
Research Square (Research Square) (2024)
Open Access
Segmentación morfológica y clasificación de niveles para la retinopatía diabética e hipertensiva mediante imágenes oftálmicas y redes convolucionales
María C. Niño, D. Martínez
Ingeniería y Competitividad (2024) Vol. 26, Iss. 1
Open Access
Detailed Comparative Analysis of Transfer Learning Based Ensemble Models for Mushroom Classification
Leena Rani A, Asha Gowda Karegowda, Shreetha Bhat, et al.
Research Square (Research Square) (2024)
Open Access
Pathogen-driven Infectious Disease Recognition and Classification: An In-depth Analysis using Machine Learning and Deep Learning Methods
Linquan Bai, Manju Devi
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1729-1734
Closed Access
Multinomial classification of CT-MRI image retrieval by optimizing EffResNet-4 architecture in deep neural models
Tina Dudeja, Sanjay Kumar Dubey, Ashutosh Kumar Bhatt
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 8, pp. 3971-3987
Closed Access
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