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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:

[Retracted] Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques
V. Reshma, Nancy Arya, Sayed Sayeed Ahmad, et al.
BioMed Research International (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Breast Cancer Detection on Histopathological Images Using a Composite Dilated Backbone Network
Vinodkumar Mohanakurup, Syam Machinathu Parambil Gangadharan, Pallavi Goel, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 186
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 82
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
Cancers (2022) Vol. 14, Iss. 21, pp. 5334-5334
Open Access | Times Cited: 52
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
Malliga Subramanian, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy, et al.
IEEE Access (2023) Vol. 11, pp. 10336-10354
Open Access | Times Cited: 35
Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning
Musa Adamu Wakili, Harisu Abdullahi Shehu, Md. Haidar Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-31
Open Access | Times Cited: 36
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109494-109494
Closed Access | Times Cited: 4
Automatic Blob Detection Method for Cancerous Lesions in Unsupervised Breast Histology Images
Vincent Majanga, Ernest Mnkandla, Zenghui Wang, et al.
Bioengineering (2025) Vol. 12, Iss. 4, pp. 364-364
Open Access
Chaotic Sparrow Search Algorithm with Deep Transfer Learning Enabled Breast Cancer Classification on Histopathological Images
K. Shankar, Ashit Kumar Dutta, Sachin Kumar, et al.
Cancers (2022) Vol. 14, Iss. 11, pp. 2770-2770
Open Access | Times Cited: 17
The Role of Artificial Intelligence in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
(2022)
Open Access | Times Cited: 15
EfficientNets transfer learning strategies for histopathological breast cancer image analysis
Sakinat Oluwabukonla Folorunso, Joseph Bamidele Awotunde, Yagateela Pandu Rangaiah, et al.
Advances in Complex Systems (2023) Vol. 15, Iss. 02
Closed Access | Times Cited: 7
Breast Cancer Prediction by Ensembling Machine Learning Algorithms and Explainable AI
M. Sobhana, Anil Kumar Palaketi, Ramya Nalabothu
(2024), pp. 1-6
Closed Access | Times Cited: 2
A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques
Jaspreet Kaur, Prabhpreet Kaur
Computers in Biology and Medicine (2024) Vol. 179, pp. 108910-108910
Closed Access | Times Cited: 2
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 5
Identification and Classification of Breast Cancer using Multilayer Perceptron Techniques for Histopathological Image
G. Sajiv, G. Ramkumar
(2023), pp. 1633-1639
Closed Access | Times Cited: 4
Semi-supervised breast cancer pathology image segmentation based on fine-grained classification guidance
Kai Sun, Yuanjie Zheng, Xinbo Yang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 3, pp. 901-912
Closed Access | Times Cited: 4
Transfer Learning Based Breast Cancer Detection for Telemedicine Systems in Healthare Environment
Ansh Bhavsar, Vansh Patel, Yogi A. Patel, et al.
(2024), pp. 156-161
Closed Access | Times Cited: 1
Improved Bald Eagle Search Optimization with Synergic Deep Learning-Based Classification on Breast Cancer Imaging
Manar Ahmed Hamza, Hanan Abdullah Mengash, Mohamed K. Nour, et al.
Cancers (2022) Vol. 14, Iss. 24, pp. 6159-6159
Open Access | Times Cited: 7
Biomedical Diagnosis of Breast Cancer Using Deep Learning and Multiple Classifiers
Ahmed A. Alsheikhy, Yahia Said, Tawfeeq Shawly, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2863-2863
Open Access | Times Cited: 5
Computer-aided diagnosis using white shark optimizer with attention-based deep learning for breast cancer classification
R. K. Chandana Mani, J Kamalakannan
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 2, pp. 2641-2655
Closed Access | Times Cited: 2
Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches
Sergio Ortiz, Ignacio Rojas, Fernando Rojas, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107713-107713
Open Access | Times Cited: 2
Ensemble of Handcrafted and Deep Learning Model for Histopathological Image Classification
Vasumathi Devi Majety, N. Sharmili, Chinmaya Ranjan Pattanaik, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 2, pp. 4393-4406
Open Access | Times Cited: 4
ERNet : Enhanced ResNet for classification of breast histopathological images
J Kamalakannan, Chandana mani R K
ELCVIA Electronic Letters on Computer Vision and Image Analysis (2024) Vol. 22, Iss. 2, pp. 53-68
Open Access
A generative adversarial network to Reinhard stain normalization for histopathology image analysis
Afnan M. Alhassan
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 10, pp. 102955-102955
Open Access
Detecting Cancer through Analysis of Histopathological Images
Anita Vijay Nikalje, Sharad Timaji Tajane, Archana Kocharekar, et al.
(2024), pp. 579-585
Closed Access
Breast Cancer Image Classification: Leveraging Deep Learning and Large Language Models for Semantic Integration
K.K. Harini, R. Nandhini, A.M. Rajeswari, et al.
(2024) Vol. 12, pp. 1-6
Closed Access
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