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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:

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

Showing 1-25 of 36 citing articles:

Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Maha Sharkas, Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review
Marina Yusoff, Toto Haryanto, Heru Suhartanto, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 683-683
Open Access | Times Cited: 20
Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records
Nguyen Thi Hoang Trang, Khương Quỳnh Long, Pham Lê An, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 346-346
Open Access | Times Cited: 17
Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment
Josip Vrdoljak, Zvonimir Boban, Domjan Barić, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 634-634
Open Access | Times Cited: 16
Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology
Aadhi Aadhavan Balasubramanian, Salah Alheejawi, Akarsh Singh, et al.
Cancers (2024) Vol. 16, Iss. 12, pp. 2222-2222
Open Access | Times Cited: 6
LMCNet: a lightweight and efficient model for multi-classification of breast cancer images
Xiaoyue Ma, Lei Sun, Jie Gao, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 2
Closed Access
Optimizing Breast Cancer Detection: Integrating Few‐Shot and Transfer Learning for Enhanced Accuracy and Efficiency
Nadeem Sarwar, Shaha Al‐Otaibi, Asma Irshad
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 1
Closed Access
Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer
Constantinos Harkos, Andreas G. Hadjigeorgiou, Chrysovalantis Voutouri, et al.
Nature reviews. Cancer (2025)
Closed Access
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Histopathological Deep Learning: Exploring Ovarian Cancer Subtypes with Image Analysis
Lakshmi V. Ramanathan, Kirby Rachel, Sai Loukya Namineni, et al.
SSRN Electronic Journal (2025)
Closed Access
Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Electronics (2023) Vol. 12, Iss. 7, pp. 1517-1517
Open Access | Times Cited: 12
Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1753-1753
Open Access | Times Cited: 10
Advancements in Data Augmentation and Transfer Learning: A Comprehensive Survey to Address Data Scarcity Challenges
Salma Fayaz, Syed Zubair Ahmad Shah, Nusrat Mohi Ud Din, et al.
Recent Advances in Computer Science and Communications (2024) Vol. 17, Iss. 8
Closed Access | Times Cited: 3
Extended Deep-Learning Network for Histopathological Image-Based Multiclass Breast Cancer Classification Using Residual Features
Hiren Mewada
Symmetry (2024) Vol. 16, Iss. 5, pp. 507-507
Open Access | Times Cited: 3
Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology
A. R. Balasubramanian, Salah Alheejawi, Akarsh Singh, et al.
(2024)
Open Access | Times Cited: 3
Transfer Learning for Accurate Classification of Breast Cancer in Medical Imaging
R. Sangeetha, Rishi Prakash Shukla, Satvik Vats, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 9
A Comparative Study of Javanese Script Classification with GoogleNet, DenseNet, ResNet, VGG16 and VGG19
Ajib Susanto, Christy Atika Sari, Eko Hari Rachmawanto, et al.
Scientific Journal of Informatics (2024) Vol. 11, Iss. 1, pp. 31-40
Open Access | Times Cited: 2
Canine Mammary Tumor Histopathological Image Classification via Computer-Aided Pathology: An Available Dataset for Imaging Analysis
Giovanni Pietro Burrai, Andrea Gabrieli, Marta Polinas, et al.
Animals (2023) Vol. 13, Iss. 9, pp. 1563-1563
Open Access | Times Cited: 6
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images
Shyam Lal, Amit Kumar Chanchal, Jyoti Kini, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60583-60601
Closed Access | Times Cited: 1
Breast Tumor Tissue Image Classification Using Single-Task Meta Learning with Auxiliary Network
Jiann-Shu Lee, Wenkai Wu
Cancers (2024) Vol. 16, Iss. 7, pp. 1362-1362
Open Access | Times Cited: 1
A deep convolutional neural network for the classification of imbalanced breast cancer dataset
Robert B. Eshun, Marwan Bikdash, Amirul Islam
Healthcare Analytics (2024) Vol. 5, pp. 100330-100330
Open Access | Times Cited: 1
PERFORMANCE EVALUATION OF EFFICIENTNETV2 MODELS ON THE CLASSIFICATION OF HISTOPATHOLOGICAL BENIGN BREAST CANCER IMAGES
O. Abioye, Abraham E. Evwiekpaefe, Awujoola J. Awujoola
Science Journal of University of Zakho (2024) Vol. 12, Iss. 2, pp. 208-214
Open Access | Times Cited: 1
Breast Cancer Diagnosis in Mammography Images Using Deep Convolutional Neural Network-Based Transfer and Scratch Learning Approach
Aarti Bokade, Ankit Shah
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 18, pp. 1385-1394
Open Access | Times Cited: 4
Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images
Arslan Akram
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 1, pp. 1081-1101
Open Access | Times Cited: 4
Emotion Detection and its Effect on Decision-making
Harisu Abdullahi Shehu
(2023)
Open Access | Times Cited: 3
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