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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 Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders
Pradeep Kumar Das, Sukadev Meher, Rutuparna Panda, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 10, pp. 10615-10626
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Sukadev Meher
Expert Systems with Applications (2021) Vol. 183, pp. 115311-115311
Closed Access | Times Cited: 123
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
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104292-104292
Closed Access | Times Cited: 78
An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105377-105377
Closed Access | Times Cited: 60
A lightweight deep learning system for automatic detection of blood cancer
Pradeep Kumar Das, Biswajit Nayak, Sukadev Meher
Measurement (2022) Vol. 191, pp. 110762-110762
Closed Access | Times Cited: 59
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
Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32
Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification
Önder Tutsoy, Gizem Gul Koç
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 13
An efficient deep learning network with orthogonal softmax layer for automatic detection of tuberculosis
Pradeep Kumar Das, S Sreevatsav, Ajith Abraham
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108116-108116
Closed Access | Times Cited: 8
Identifying the Key Components in ResNet-50 for Diabetic Retinopathy Grading from Fundus Images: A Systematic Investigation
Yijin Huang, Li Lin, Pujin Cheng, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1664-1664
Open Access | Times Cited: 19
Deep adaptive hiding network for image hiding using attentive frequency extraction and gradual depth extraction
Le Zhang, Yao Lu, Jinxing Li, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 15, pp. 10909-10927
Closed Access | Times Cited: 17
Transfer Learning-Based Automatic Detection of Acute Lymphocytic Leukemia
Pradeep Kumar Das, Sukadev Meher
(2021)
Closed Access | Times Cited: 35
Pep-CNN: An improved convolutional neural network for predicting therapeutic peptides
Shengli Zhang, Xinjie Li
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 221, pp. 104490-104490
Closed Access | Times Cited: 23
CoTCoNet: An optimized coupled transformer-convolutional network with an adaptive graph reconstruction for leukemia detection
Chandravardhan Singh Raghaw, Arnav Sharma, Shubhi Bansal, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108821-108821
Closed Access | Times Cited: 5
An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Sukadev Meher, Adyasha Rath, et al.
ISA Transactions (2025)
Closed Access
Morphological Abnormalities Classification of Red Blood Cells Using Fusion Method on Imbalance Datasets
Prasenjit Dhar, K. Suganya Devi, Ramanuj Bhattacharjee, et al.
Microscopy Research and Technique (2025)
Closed Access
OSLTBDNet: Orthogonal softmax layer-based tuberculosis detection network with small dataset
Pradeep Kumar Das, S Sreevatsav, Adyasha Sahu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107584-107584
Closed Access
VNLU-Net: Visual Network with Lightweight Union-net for Acute Myeloid Leukemia Detection on Heterogeneous Dataset
Rabul Saikia, Roopam Deka, Anupam Sarma, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107840-107840
Closed Access
A survey of deep learning methods on cell instance segmentation
Ching‐Wei Wang, Wei-Tang Lee, Ting-Sheng Su
Neural Computing and Applications (2025)
Open Access
AWOLSE: Adaptive Weight-Optimized Level Set Evolution-Based Blood Cell Segmentation
Pradeep Kumar Das, Sukadev Meher
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 11
A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images
Anitha Ponraj, P. Nagaraj, D. Balakrishnan, et al.
Digital Health (2025) Vol. 11
Open Access
SEPO-FI: Deep-learning based software to calculate fusion index of muscle cells
Kyungchang Jeong, Sang Hun Park, Gweon Do Jo, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109706-109706
Closed Access
Review of Machine Learning Applications in HB Detection and Anaemia Screening Prognosis Under Clinical Conditions
Trushna Deotale, Seemanti Saha
Lecture notes in networks and systems (2025), pp. 124-155
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
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation
Shuchao Pang, Anan Du, Mehmet A. Orgun, et al.
IEEE Transactions on Cybernetics (2022) Vol. 53, Iss. 11, pp. 6776-6787
Open Access | Times Cited: 17
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