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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:

Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization
Arjun Abhishek, Rajib Kumar Jha, Ruchi Sinha, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104722-104722
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

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: 33
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism
Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, et al.
IEEE Access (2024) Vol. 12, pp. 51942-51965
Open Access | Times Cited: 16
An attention-based deep learning for acute lymphoblastic leukemia classification
Malathy Jawahar, L. Jani Anbarasi, Sathiya Narayanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 9
Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review
Malihe Ram, Mohammad Reza Afrash, Khadijeh Moulaei, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 9
DeepLeukNet—A CNN based microscopy adaptation model for acute lymphoblastic leukemia classification
Umair Saeed, Kamlesh Kumar, Mansoor Ahmed Khuhro, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 21019-21043
Closed Access | Times Cited: 21
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: 8
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: 6
A review of convolutional neural network based methods for medical image classification
Chao Chen, Nor Ashidi Mat Isa, Xin Liu
Computers in Biology and Medicine (2024) Vol. 185, pp. 109507-109507
Closed Access | Times Cited: 6
Grad-CAM: Understanding AI Models
Shuihua Wang, Yudong Zhang
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 2, pp. 1321-1324
Open Access | Times Cited: 14
Attention guided grad-CAM : an improved explainable artificial intelligence model for infrared breast cancer detection
Kaushik Raghavan, B. Sivaselvan, V. Kamakoti
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57551-57578
Closed Access | Times Cited: 14
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives
Hema J Patel, Himal Shah, Gayatri Patel, et al.
Artificial Intelligence in Medicine (2024) Vol. 152, pp. 102883-102883
Closed Access | Times Cited: 6
Multiscale adaptive and attention-dilated convolutional neural network for efficient leukemia detection model with multiscale trans-res-Unet3+ -based segmentation network
K Gokulkannan, T A Mohanaprakash, J. DafniRose, et al.
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105847-105847
Closed Access | Times Cited: 5
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning
Hilda Mayrose, Niranjana Sampathila, G. Muralidhar Bairy, et al.
IEEE Access (2024) Vol. 12, pp. 41750-41762
Open Access | Times Cited: 5
Explainable artificial intelligence for medical imaging: Review and experiments with infrared breast images
Kaushik Raghavan, S. Balasubramanian, V. Kamakoti
Computational Intelligence (2024) Vol. 40, Iss. 3
Closed Access | Times Cited: 4
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
Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis
Feras Al‐Obeidat, Wael Hafez, Asrar Rashid, et al.
Frontiers in Big Data (2025) Vol. 7
Open Access
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 Framework Utilizing Deep Learning for Detecting Multiple Cancers in Medical Imaging
Ketan Sanjay Desale, Ankush Ambhore, Prasanna Asole, et al.
Lecture notes in networks and systems (2025), pp. 111-120
Closed Access
Application of Recurrence Quantification Analysis and Gaussian Mixture Model to Diagnosis Robotic Grinding Process Condition
Kuan-Jung Chung, Chi Hou, Kai-An Yang, et al.
International Journal of Precision Engineering and Manufacturing (2025)
Closed Access
Advancing diabetic retinopathy classification using ensemble deep learning approaches
Ankur Biswas, Rita Banik
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107804-107804
Closed Access
Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification
Dip Kumar Saha, Sana Rafi, M. F. Mridha, et al.
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
Machine learning-inspired intrusion detection system for IoT: Security issues and future challenges
Tariq Ahamed Ahanger, Imdad Ullah, Shabbab Algamdi, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110265-110265
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
P-Glycoprotein as a Therapeutic Target in Hematological Malignancies: A Challenge to Overcome
Pablo Álvarez-Carrasco, Fernanda Morales-Villamil, Carmen Maldonado‐Bernal
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 10, pp. 4701-4701
Open Access
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