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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 Acute Leukemia Detection Using Deep Learning Techniques
Rohini Raina, Naveen Kumar Gondhi, Chaahat, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 251-270
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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
Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures
Shruti Garg, Sudhir Sharma, Sumit Dhariwal, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 7
MultiFeNet: Multi‐scale feature scaling in deep neural network for the brain tumour classification in MRI images
Tarun Agrawal, Prakash Choudhary, Achyut Shankar, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 15
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: 4
Evaluation of the practical application of the category-imbalanced myeloid cell classification model
Zhigang Hu, Aoru Ge, Xinzheng Wang, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313277-e0313277
Open 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
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
Theoretical advancements in Deep Learning for Hematological Cancer Diagnosis: Proposing a New Framework and Mathematical Model
Арпана Чатурведі, Nitish Pathak, Neelam Sharma, et al.
Intelligent Decision Technologies (2025)
Closed Access
SERS and Machine Learning-Enabled Liquid Biopsy: A Promising Tool for Early Detection and Recurrence Prediction in Acute Leukemia
Fatih Öktem, Münevver Akdeniz, Zakarya Al‐Shaebi, et al.
ACS Omega (2025)
Open Access
Unconventional Concise Ugi Synthesis of Benzopyran Amide Derivatives as Promising Inhibitors against Leukemia, Colon Cancer, and Prostate Cancer
Jyoti Gohel, Dharmesh Katariya, Arpita Vyas, et al.
Russian Journal of Organic Chemistry (2025) Vol. 61, Iss. 1, pp. 133-138
Closed Access
Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images
Basel Elsayed, Mohamed Elhadary, Raghad Mohamed Elshoeibi, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
Automated segmentation of acute leukemia using blood and bone marrow smear images: a systematic review
Rohini Raina, Naveen Kumar Gondhi, Abhishek Gupta
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 77967-78000
Closed Access | Times Cited: 3
Comparative Study of Object Recognition Utilizing Machine Learning Techniques
Tiyas Sarkar, Manik Rakhra, Vikrant Sharma, et al.
(2024), pp. 726-731
Closed Access | Times Cited: 3
The Art of YOLOv8 Algorithm in Cancer Diagnosis using Medical Imaging
N. Palanivel, S. Deivanai, G. G. Lakshmi Priya, et al.
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2023)
Closed Access | Times Cited: 8
Linear programming based computational technique for leukemia classification using gene expression profile
Mahwish Ilyas, Khalid Mahmood Aamir, Sana Manzoor, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292172-e0292172
Open Access | Times Cited: 7
A lightweight deep learning model for acute myeloid leukemia-related blast cell identification
Bing Leng, Hao Jiang, Bidou Wang, et al.
The Journal of Supercomputing (2024)
Closed Access | Times Cited: 2
A lightweight white blood cells detection network based on CenterNet and feature fusion modules
Lianghong Wu, Yujie Zou, Cili Zuo, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075702-075702
Closed Access | Times Cited: 2
VGG16-PCA-PB3C: A hybrid PB3C and deep neural network based approach for leukemia detection
Navpreet Kaur, Amar Singh
International Journal of Information Technology (2024) Vol. 16, Iss. 6, pp. 3605-3615
Closed Access | Times Cited: 2
Deep Learning in the Context of Artificial Intelligence: Advancements and Applications
Арпана Чатурведі, Nitish Pathak, Neelam Sharma, et al.
Lecture notes in networks and systems (2024), pp. 23-44
Closed Access | Times Cited: 2
Automated detection of leukemia in blood microscopic images using image processing techniques and unique features: Cell count and area ratio
Amani Al-Ghraibah, Muhammad Al-Ayyad
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Leukemia Classification Using EfficientNetB5: A Deep Learning Approach
Aseel Alshoraihy, Anagheem Ibrahim, Housam Hasan Bou Issa
(2024), pp. 929-931
Closed Access | Times Cited: 1
Assessing the impact of Eight EfficientNetB (0- 7) Models for Leukemia Categorization
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
(2023)
Closed Access | Times Cited: 4
A New Model for Blood Cancer Classification Based on Deep Learning Techniques
Hagar Ibrahim Mohamed, Fahad Kamal Elsheref, Shrouk Reda Kamal
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 3
In-silico profiling, design, molecular docking computation, and drug kinetic model evaluation of novel curcumin derivatives as potential anticancer agents
Anne Jibrin, Adamu Uzairu, Gideon Adamu Shallangwa, et al.
Journal of the Indian Chemical Society (2023) Vol. 100, Iss. 4, pp. 100979-100979
Closed Access | Times Cited: 2
Blood Cancer Detection Using Improved Machine Learning Algorithm
N. P. Dharani, G. Sujatha, Rajneesh Rani
(2023), pp. 1136-1141
Closed Access | Times Cited: 2
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