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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:

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: 89

Showing 1-25 of 89 citing articles:

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
A Convolutional Neural Network ensemble model for Pneumonia Detection using chest X-ray images
Harsh Bhatt, Manan Shah
Healthcare Analytics (2023) Vol. 3, pp. 100176-100176
Open Access | Times Cited: 43
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: 51
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 32
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
Multiclass blood cancer classification using deep CNN with optimized features
Wahidur Rahman, Mohammad Gazi Golam Faruque, Kaniz Roksana, et al.
Array (2023) Vol. 18, pp. 100292-100292
Open Access | Times Cited: 30
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: 26
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: 9
Blood cell image segmentation and classification: a systematic review
Muhammad Shahzad, Farman Ali, Syed Hamad Shirazi, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1813-e1813
Open Access | Times Cited: 8
A machine learning and deep learning-based integrated multi-omics technique for leukemia prediction
Erum Yousef Abbasi, Zhongliang Deng, Qasim Ali, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25369-e25369
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
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
Using deep learning on microscopic images for white blood cell detection and segmentation to assist in leukemia diagnosis
Fernando Rodrigues Trindade Ferreira, Loena Marins do Couto
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
NBCDC‐YOLOv8: A new framework to improve blood cell detection and classification based on YOLOv8
Xuan Chen, Linxuan Li, Xiaoyu Liu, et al.
IET Computer Vision (2025) Vol. 19, Iss. 1
Open Access
EfficientNetB1 Empowered Deep Learning for Accurate Leukemia Detection in Blood Smear Image
Yeluri Divya, M. Shanmuga Sundari, Kollu Seekruthi, et al.
Lecture notes in networks and systems (2025), pp. 345-355
Closed Access
Fuzzy Attention-Based Deep Neural Networks for Acute Lymphoblastic Leukemia Diagnosis
Tairan Zhang, Gang Xue
Applied Soft Computing (2025), pp. 112810-112810
Closed Access
A review on Leukemia Cancer detection and classification: Integrating classical approaches to advanced AI techniques
Sarita Thummar, Daksh Bangoria, Abhi Bhimani, et al.
AIP conference proceedings (2025) Vol. 3255, pp. 030006-030006
Closed Access
A Diabetes Mellitus Detection Using Fusion of IoMT, Generative AI, and eXplainable AI
G Varun, S. Sarveswaran, S. Shreeshaa, et al.
Advances in healthcare information systems and administration book series (2025), pp. 291-322
Closed Access
Towards Diagnostic Intelligent Systems in Leukemia Detection and Classification: A Systematic Review and Meta‐analysis
Mehrad Aria, Zohreh Javanmard, Donia Pishdad, et al.
Journal of Evidence-Based Medicine (2025) Vol. 18, Iss. 1
Open Access
Efficient Detection of Acute Lymphoblastic Leukemia in Microscopic Blood Cell Images
Bhupathi Vishva Pavani, Gaddam Thanmai, Rimjhim Padam Singh
Lecture notes in computer science (2025), pp. 3-17
Closed Access
Artificial Intelligence-Assisted Case Management in Social Work Services: A Systematic Review
Lifei Li, Miao Wang, Miao Jian
Research on Social Work Practice (2025)
Closed Access
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: 25
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
WBC YOLO-ViT: 2 Way - 2 stage white blood cell detection and classification with a combination of YOLOv5 and vision transformer
Servas Adolph Tarimo, Mi‐Ae Jang, Emmanuel Edward Ngasa, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107875-107875
Closed Access | Times Cited: 13
Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning
Rezaul Haque, Abdullah Al Sakib, Md. Forhad Hossain, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 966-991
Open Access | Times Cited: 4
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