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:

A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Azam Mehmood Qadri, Ali Raza, Fatma Eid, et al.
Decision Analytics Journal (2023) Vol. 9, pp. 100352-100352
Open Access | Times Cited: 15

Showing 15 citing articles:

Novel Transfer Learning Based Deep Features for Diagnosis of Down Syndrome in Children Using Facial Images
Ali Raza, Kashif Munir, Mubarak Almutairi, et al.
IEEE Access (2024) Vol. 12, pp. 16386-16396
Open Access | Times Cited: 15

A Novel Transfer Learning Approach for Detection of Pomegranates Growth Stages
Aisha Naseer, Madiha Amjad, Ali Raza, et al.
IEEE Access (2024) Vol. 12, pp. 27073-27087
Open Access | Times Cited: 8

AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
Nisrean Thalji, Ali Raza, Mohammad Shariful Islam, et al.
IEEE Access (2023) Vol. 11, pp. 135507-135516
Open Access | Times Cited: 13

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

Optimized image segmentation using an improved reptile search algorithm with Gbest operator for multi-level thresholding
Laith Abualigah, Nada Khalil Al-Okbi, Saleh Ali Alomari, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

IVNet: Transfer Learning Based Diagnosis of Breast Cancer Grading Using Histopathological Images of Infected Cells
Sameen Aziz, Kashif Munir, Ali Raza, et al.
IEEE Access (2023) Vol. 11, pp. 127880-127894
Open 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: 4

Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review
Dhevisha Sukumarran, Khairunnisa Hasikin‬, Anis Salwa Mohd Khairuddin, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108529-108529
Closed Access | Times Cited: 2

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

Financial Development and Trade Openness Economic Growth Nexuses in Pakistan: Evidence from ARDL Cointegration Approach
Maqsood Ahmad, Hira Riaz, Saif Ur Rahman, et al.
iRASD Journal of Economics (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 2

Blood Cell Attribute Classification Algorithm Based on Partial Label Learning
Junxin Feng, Qianhang Guo, Shiling Luo, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1698-1698
Open Access

Ginkgo biloba Sex Identification Methods Using Hyperspectral Imaging and Machine Learning
Mengyuan Chen, Chenfeng Lin, Yongqi Sun, et al.
Plants (2024) Vol. 13, Iss. 11, pp. 1501-1501
Open Access

MalariaScope: leveraging explainable ai for enhanced malaria diagnosis through deep learning-based blood cell classification
Adil Gaouar, Souaad Hamza-Cherif, Abdellatif Rahmoun
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e12006-e12006
Closed Access

Accelerated Malaria Diagnosis with Deep Convolutional Neural Network
V. Krishna Kumar, M.S. Geetha Devasana, Bharathan Balaji
(2023), pp. 1-6
Closed Access

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