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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:

DLBCNet: A Deep Learning Network for Classifying Blood Cells
Ziquan Zhu, Zeyu Ren, Siyuan Lu, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 75-75
Open Access | Times Cited: 10

Showing 10 citing articles:

A Comparative Study of Convolutional Neural Network in Detecting Blast Cells for Diagnose Acute Myeloid Leukemia
Ahmad Badruzzaman, Aniati Murni Arymurhty
Journal of Electronics Electromedical Engineering and Medical Informatics (2024) Vol. 6, Iss. 1, pp. 84-91
Open Access | Times Cited: 4
An explainable AI-based blood cell classification using optimized convolutional neural network
Oahidul Islam, Md Assaduzzaman, Md. Zahid Hasan
Journal of Pathology Informatics (2024) Vol. 15, pp. 100389-100389
Open Access | Times Cited: 3
Deep learning-based blood cell classification from microscopic images for haematological disorder identification
Nalini S. Jagtap, Varsha Bodade, Vijayalaxmi Kadrolli, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
White Blood Cell Classification using Sequential Convolutional Neural Network Transfer Learning Model
Shikha Prasher, Leema Nelson, R. S. Amshavalli
(2024), pp. 1-4
Closed Access | Times Cited: 1
Blood Cell Revolution: Unveiling 11 Distinct Types with ‘Naturalize’ Augmentation
Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda‐Carreras
Algorithms (2023) Vol. 16, Iss. 12, pp. 562-562
Open Access | Times Cited: 3
Automatic recognition of white blood cell images with memory efficient superpixel metric GNN: SMGNN
Yuan‐Hong Jiang, Yiqing Shen, Yu Guang Wang, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 2, pp. 2163-2188
Open Access
BLOOD CELL TYPE DETECTION USING DEEP LEARNING
Dikpal Reddy
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 04, pp. 1-5
Open Access
Advancements and Applications of Generative AI in Healthcare
Sandeep Chataut, Sandesh Bhatta, Bishwambhar Dahal, et al.
European Journal of Theoretical and Applied Sciences (2024) Vol. 2, Iss. 6, pp. 873-895
Closed Access
Automatic left ventricle segmentation via edge‐shape feature‐based fully convolutional neural network
K. Gayathri, N. Uma Maheswari, R. Venkatesh, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 1
Blood Cell Revolution: Unveiling 11 Distinct Types with ’Naturalize’ Augmentation
Mohamad Abou Ali, Fadi Dornaika, Ignacio Arganda‐Carreras
(2023)
Open Access
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