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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:

Transfer Learning-Based Automatic Detection of Acute Lymphocytic Leukemia
Pradeep Kumar Das, Sukadev Meher
(2021)
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A Systematic Review on Recent Advancements in Deep and Machine Learning Based Detection and Classification of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Vora Diya, Sukadev Meher, et al.
IEEE Access (2022) Vol. 10, pp. 81741-81763
Open Access | Times Cited: 90
An Efficient Detection and Classification of Acute Leukemia Using Transfer Learning and Orthogonal Softmax Layer-Based Model
Pradeep Kumar Das, Biswajeet Sahoo, Sukadev Meher
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1817-1828
Closed Access | Times Cited: 54
Deep Learning for the Detection of Acute Lymphoblastic Leukemia Subtypes on Microscopic Images: A Systematic Literature Review
Tanzilal Mustaqim, Chastine Fatichah, Nanik Suciati
IEEE Access (2023) Vol. 11, pp. 16108-16127
Open Access | Times Cited: 27
DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images
Manjit Kaur, Ahmad Ali AlZubi, Arpit Jain, et al.
Diagnostics (2023) Vol. 13, Iss. 17, pp. 2752-2752
Open Access | Times Cited: 19
A Multistage Transfer Learning Approach for Acute Lymphoblastic Leukemia Classification
Renato R. Maaliw, Alvin Sarraga Alon, Ace C. Lagman, et al.
2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (2022)
Closed Access | Times Cited: 26
Optimized Support Vector Machine Using Whale Optimization Algorithm for Acute Lymphoblastic Leukemia Detection from Microscopic Blood Smear Images
Rabul Saikia, Anupam Sarma, Salam Shuleenda Devi
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 5
Hyperparameter Tuning of Fine-Tuned VGG19 Using Sine Cosine Algorithm for Acute Lymphoblastic Leukemia Detection
Rabul Saikia, Roopam Deka, Anupam Sarma, et al.
Lecture notes in networks and systems (2025), pp. 3-14
Closed Access
A Review of Deep Learning Techniques for Leukemia Cancer Classification Based on Blood Smear Images
Rakhmonalieva Farangis Oybek Kizi, Tagne Poupi Theodore Armand, Hee‐Cheol Kim
Applied Biosciences (2025) Vol. 4, Iss. 1, pp. 9-9
Open Access
Improving real-time performance in Acute lymphoblastic leukemia classification using Mobilenet3 compared to densenet algorithm
K. Uday Kiran, Vedna Kumari
AIP conference proceedings (2025) Vol. 3270, pp. 020161-020161
Closed Access
Bayesian Convolutional Neural Network-based Models for Diagnosis of Blood Cancer
Mohammad Ehtasham Billah, Farrukh Javed
Applied Artificial Intelligence (2021) Vol. 36, Iss. 1
Open Access | Times Cited: 24
Feature Fusion Based Ensemble of Deep Networks for Acute Leukemia Diagnosis Using Microscopic Smear Images
Md Hasib Al Muzdadid Haque Himel, Md. Al Mehedi Hasan, Taro Suzuki, et al.
IEEE Access (2024) Vol. 12, pp. 54758-54771
Open Access | Times Cited: 3
A Survey on AI Techniques for Thoracic Diseases Diagnosis Using Medical Images
Fatma Mostafa, Lamiaa A. Elrefaei, Mostafa M. Fouda, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3034-3034
Open Access | Times Cited: 15
SBCDNet: An Efficient Sparse-Based Deep Cascade Blood Cancer Detection Network
Pradeep Kumar Das, Adyasha Sahu, V A Diya, et al.
IEEE Sensors Letters (2023) Vol. 8, Iss. 1, pp. 1-4
Closed Access | Times Cited: 8
Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network
Pandia Rajan Jeyaraj, Edward Rajan Samuel Nadar
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 5, pp. 1678-1689
Closed Access | Times Cited: 6
Deep Convolutional Neural Network-based Automatic Detection of Brain Tumour
I. Paul, Adyasha Sahu, Pradeep Kumar Das, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 6
An Efficient Deep Learning-Based Breast Cancer Detection Scheme with Small Datasets
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher, et al.
Lecture notes in networks and systems (2023), pp. 39-48
Closed Access | Times Cited: 4
Computer-Assisted Leukemia Detection and Classification using Machine Learning
T. Kishore Babu, Raja Kiran Kolati, P. Chandrasekhar, et al.
(2024), pp. 1021-1028
Closed Access | Times Cited: 1
BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset
Rabul Saikia, Roopam Deka, Anupam Sarma, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1
LM-DNN: pre-trained DNN with LSTM and cross Fold validation for detecting viral pneumonia from chest CT
Sanjib Saha, Debashis Nandi
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 3
Optimized Deep Neuro-Fuzzy Network with MapPeduce Architecture for Acute Lymphoblastic Leukemia Classification and Severity Analysis
Guoli Bai, P. Venkadesh
International Journal of Image and Graphics (2023) Vol. 24, Iss. 03
Closed Access | Times Cited: 2
Diagnosis and detection of COVID-19 infection on X-Ray and CT scans using deep learning based generative adversarial network
S. Deepa, S. Shakila
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 5, pp. 1742-1752
Closed Access | Times Cited: 2
COVID-ViT: COVID-19 Detection Method Based on Vision Transformers
Luis Balderas, Miguel Lastra, Antonio Jesús Láinez Ramos‐Bossini, et al.
Lecture notes in networks and systems (2023), pp. 81-90
Closed Access | Times Cited: 2
A new hybrid framework based on deep neural networks and JAYA optimization algorithm for feature selection using SVM applied to classification of acute lymphoblastic Leukaemia
Ali Noshad, Saeed Fallahi
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 4, pp. 1549-1566
Closed Access | Times Cited: 4
Transfer Learning Paradigm: A Comparative Analysis of VGG16 and EfficientNet in Childhood Leukemia Detection
Ricky Rajora, Himakshi Gupta, Mukesh Kumar, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
Epigenetically Reprogrammed Intelligent Cancer Biomarker for Cancer Detection
Bai V. Bhagirathi, Tejas Deepak Hundre, Magdum Sunad Sanmati, et al.
Deleted Journal (2024) Vol. 2, Iss. 3, pp. 176-185
Open Access
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