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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:

Leukemia segmentation and classification: A comprehensive survey
Saba Saleem, Javeria Amin, Muhammad Sharif, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106028-106028
Closed Access | Times Cited: 23

Showing 23 citing articles:

Lightweight EfficientNetB3 Model based on Depthwise Separable Convolutions for Enhancing Classification of Leukemia White Blood Cell Images
Amreen Batool, Yung-Cheol Byun
IEEE Access (2023) Vol. 11, pp. 37203-37215
Open Access | Times Cited: 48
Classification and Segmentation of Diabetic Retinopathy: A Systemic Review
Natasha Shaukat, Javeria Amin, Muhammad Imran Sharif, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 3108-3108
Open Access | Times Cited: 21
Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network
Siraj M. Khan, Muhammad Sajjad, Naveed Abbas, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108146-108146
Closed Access | Times Cited: 10
Multifunctional targetable liposomal drug delivery system in the management of leukemia: Potential, opportunities, and emerging strategies
Ekta Pardhi, Rati Yadav, Akash Chaurasiya, et al.
Life Sciences (2023) Vol. 325, pp. 121771-121771
Closed Access | Times Cited: 16
An attention-based deep learning for acute lymphoblastic leukemia classification
Malathy Jawahar, L. Jani Anbarasi, Sathiya Narayanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Aswathy Elma Aby, S. Salaji, K. Anilkumar, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109446-109446
Closed Access | Times Cited: 5
A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils
Kevin Barrera, José Rodellar, Santiago Alférez, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108691-108691
Open Access | Times Cited: 4
Models for the marrow: A comprehensive review of AI‐based cell classification methods and malignancy detection in bone marrow aspirate smears
Tabita Ghete, Farina Kock, Martina Pontones, et al.
HemaSphere (2024) Vol. 8, Iss. 12
Open Access | Times Cited: 2
GAN-Assisted Sample Equalization for CNN-Based Human Peripheral Leukocyte Image Recognition and Classification
Shiwei Gao, Zerong Guo, Xin Meng, et al.
(2024)
Closed Access | Times Cited: 1
The Sources, Structures and Cytotoxicity of Animal‐Derived Bisindole Compounds
Zilong Zhang, Haonan Xu, Chenxing Gong, et al.
Chemistry & Biodiversity (2024) Vol. 21, Iss. 9
Closed Access | Times Cited: 1
White blood cell segmentation by using vector color approach
Achmad Abdurrazzaq, Ahmad Kadri Bin Junoh, Ilyasa Pahlevi Reza Yulianto
International Journal of Applied Mathematics Sciences and Technology for National Defense (2023) Vol. 1, Iss. 1, pp. 1-6
Open Access | Times Cited: 2
A Unified Approach to Predict and Understand Acute Myeloid Leukemia Diagnosis
Ashwini P. Patil, Manjunath Hiremath, Varsha Pawar
Lecture notes in electrical engineering (2024), pp. 233-242
Closed Access
Segmentation, feature extraction and classification of leukocytes leveraging neural networks, a comparative study
Tingxuan Fang, Xukun Huang, Xiao Chen, et al.
Cytometry Part A (2024) Vol. 105, Iss. 7, pp. 536-546
Closed Access
Malaria cell identification using improved machine learning and modified deep learning architecture
S Shashikiran, H. D. Sunitha
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 3, pp. 2078-2078
Open Access
Classification of Microscopic Hyperspectral Images of Blood Cells Based on Lightweight Convolutional Neural Network
Jinghui Fang
Electronics (2024) Vol. 13, Iss. 8, pp. 1578-1578
Open Access
Engineered feature embeddings meet deep learning: A novel strategy to improve bone marrow cell classification and model transparency
Jonathan Tarquino, Jhonathan Rodríguez, David Becerra, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100390-100390
Open Access
SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation
Hien Quang Kha, Le Huu Nhat Minh, Lam Nguyen, et al.
Lecture notes in computer science (2024), pp. 134-144
Closed Access
Blood Cancer Identification on Peripheral Blood Smear (PBS) Images Using HSV Feature Extraction
Irohito Nozomi, Febri Aldi
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 4
Open Access
Morphology-Based Machine Learning Mechanism for Unsupervised Framework Prediction Using Statistical Segmentation on Blood Cancer
Moravani Poojaben Ishavarbhai, Ajay Kumar Sharma, Mayank Patel, et al.
Lecture notes in networks and systems (2024), pp. 855-864
Closed Access
Unsupervised attention-guided domain adaptation model for Acute Lymphocytic Leukemia (ALL) diagnosis
Yusuf Yargı Baydi̇lli̇
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107159-107159
Closed Access
CDC-NET: a cell detection and confirmation network of bone marrow aspirate images for the aided diagnosis of AML
Jie Su, Yahui Liu, Jing Zhang, et al.
Medical & Biological Engineering & Computing (2023)
Closed Access | Times Cited: 1
Segmentation of White Blood Cells in M1, M2, and M3 Acute Myeloid Leukemia (AML) Images Using Deep Convolutional Neural Network
Nur Habib Rizki Saputro, Esti Suryani, Wiharto Wiharto, et al.
2022 5th International Conference on Information and Communications Technology (ICOIACT) (2023), pp. 58-63
Closed Access
Morphology-Based Machine Learning Mechanism for Unsupervised Framework Prediction Using Statistical Segmentation on Blood Cancer
M E Pooja, Ajay Kumar Sharma, Mayank Patel
(2023), pp. 1-4
Closed Access
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