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 Novel Approach for the Classification of Leukemia Using Artificial Bee Colony Optimization Technique and Back-Propagation Neural Networks
Rudrani Sharma, Naveen Kumar
Lecture notes in networks and systems (2018), pp. 685-694
Closed Access | Times Cited: 12

Showing 12 citing articles:

Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
Tanzila Saba
Journal of Infection and Public Health (2020) Vol. 13, Iss. 9, pp. 1274-1289
Open Access | Times Cited: 236

Variants of Artificial Bee Colony algorithm and its applications in medical image processing
Şaban Öztürk, Rehan Ahmad, Nadeem Akhtar
Applied Soft Computing (2020) Vol. 97, pp. 106799-106799
Closed Access | Times Cited: 88

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: 31

Automated Diagnosis of Leukemia: A Comprehensive Review
Afshan Shah, Syed S. Naqvi, Khuram Naveed, et al.
IEEE Access (2021) Vol. 9, pp. 132097-132124
Open Access | Times Cited: 47

Intelligent Medical IoT-Enabled Automated Microscopic Image Diagnosis of Acute Blood Cancers
Mohamed Esmail Karar, Bandar Alotaibi, Munif Alotaibi
Sensors (2022) Vol. 22, Iss. 6, pp. 2348-2348
Open Access | Times Cited: 35

Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access

Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
Hari Mohan, Joon Yoo, Abdul Razaque
Expert Systems with Applications (2024) Vol. 255, pp. 124838-124838
Closed Access | Times Cited: 4

Cancer diagnosis using artificial intelligence: a review
K. Aditya Shastry, H. A. Sanjay
Artificial Intelligence Review (2021) Vol. 55, Iss. 4, pp. 2641-2673
Closed Access | Times Cited: 17

Machine Learning Driven Dashboard for Chronic Myeloid Leukemia Prediction using Protein Sequences
Waqar Ahmad, Tahani Jaser Alahmadi, Muhammad Awais Amin, et al.
(2024)
Open Access | Times Cited: 1

Statistical Analysis of Features for Detecting Leukemia
Vandana Khobragade, Jagannath Haridas Nirmal, Aayesha Hakim
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 10, pp. 130-150
Open Access

Machine Learning Driven Dashboard for Chronic Myeloid Leukemia Prediction using Protein Sequences
Waqar Ahmad, Mudasar Iqbal, Muhammad Awais Amin, et al.
(2023)
Open Access | Times Cited: 1

Automated Classification of Genetic Mutations in Cancer using Machine Learning
Saroj Doranga, Rajeev M. Nepal, Pratigya Timsina
Scientific Researches in Academia (2023) Vol. 1, Iss. 1, pp. 108-123
Open Access

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