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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:

Analysis of Histopathological Images for Prediction of Breast Cancer Using Traditional Classifiers with Pre-Trained CNN
Karan Gupta, Nidhi Grover Rakesh Chawla
Procedia Computer Science (2020) Vol. 167, pp. 878-889
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

GARL-Net: Graph Based Adaptive Regularized Learning Deep Network for Breast Cancer Classification
Vivek Patel, Vijayshri Chaurasia, Rajesh Mahadeva, et al.
IEEE Access (2023) Vol. 11, pp. 9095-9112
Open Access | Times Cited: 39
Breast Cancer Diagnosis in Histopathological Images Using ResNet-50 Convolutional Neural Network
Qasem Abu Al‐Haija, A. Adebanjo
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (2020), pp. 1-7
Closed Access | Times Cited: 128
Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review
R Rashmi, Keerthana Prasad, Chethana Babu K. Udupa
Journal of Medical Systems (2021) Vol. 46, Iss. 1
Open Access | Times Cited: 62
Classification of breast cancer from histopathology images using an ensemble of deep multiscale networks
R. Karthik, R. Menaka, M. V. Siddharth
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 963-976
Closed Access | Times Cited: 50
Multi-Classification of Breast Cancer Lesions in Histopathological Images Using DEEP_Pachi: Multiple Self-Attention Head
Chiagoziem C. Ukwuoma, Md Altab Hossain, Jehoiada Jackson, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1152-1152
Open Access | Times Cited: 32
Deep Learning- and Expert Knowledge-Based Feature Extraction and Performance Evaluation in Breast Histopathology Images
Hepseeba Kode, Buket D. Barkana
Cancers (2023) Vol. 15, Iss. 12, pp. 3075-3075
Open Access | Times Cited: 16
Leveraging Attention-Based Deep Learning in Binary Classification for Early-Stage Breast Cancer Diagnosis
Lama A. Aldakhil, Shuaa S. Alharbi, Abdulrahman Aloraini, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 718-718
Open Access
Image‐Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches
Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification
Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, et al.
(2023), pp. 1-6
Open Access | Times Cited: 12
Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
Pallavi Bhanudas Salunkhe, Pravin S. Patil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74625-74655
Closed Access | Times Cited: 4
A comparative analysis of convolutional neural networks for breast cancer prediction
Arar Al Tawil, Amneh Shaban, Laiali Almazaydeh
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3406-3406
Open Access | Times Cited: 4
Transfer learning for histopathology images: an empirical study
Tayyab Aitazaz, Abdullah Tubaishat, Feras Al‐Obeidat, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 7963-7974
Closed Access | Times Cited: 21
Assessment of deep learning algorithms to predict histopathological diagnosis of breast cancer: first Moroccan prospective study on a private dataset
Hajar El Agouri, M. Azizi, H. El Attar, et al.
BMC Research Notes (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 20
Clinical applications of graph neural networks in computational histopathology: A review
Xiangyan Meng, Tonghui Zou
Computers in Biology and Medicine (2023) Vol. 164, pp. 107201-107201
Closed Access | Times Cited: 11
Asbestosis diagnosis algorithm combining the lung segmentation method and deep learning model in computed tomography image
Hyung Min Kim, Taehoon Ko, In Young Choi, et al.
International Journal of Medical Informatics (2021) Vol. 158, pp. 104667-104667
Open Access | Times Cited: 20
Computer Based Diagnosis of Some Chronic Diseases: A Medical Journey of the Last Two Decades
Samir Malakar, Soumya Roy, Soham Das, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5525-5567
Open Access | Times Cited: 15
Nontoxic Fluorescent Nanoprobes for Multiplexed Detection and 3D Imaging of Tumor Markers in Breast Cancer
Pavel Sokolov, Galina Nifontova, Pavel Samokhvalov, et al.
Pharmaceutics (2023) Vol. 15, Iss. 3, pp. 946-946
Open Access | Times Cited: 8
State-of-the-Art of Breast Cancer Diagnosis in Medical Images via Convolutional Neural Networks (CNNs)
Pratibha Harrison, Rakib Hasan, Kihan Park
Journal of Healthcare Informatics Research (2023) Vol. 7, Iss. 4, pp. 387-432
Closed Access | Times Cited: 8
A novel deep LeNet-5 convolutional neural network model for image recognition
Jingsi Zhang, Xiaosheng Yu, Xiaoliang Lei, et al.
Computer Science and Information Systems (2022) Vol. 19, Iss. 3, pp. 1463-1480
Open Access | Times Cited: 12
CNN-based method for chromatic confocal microscopy
Juanjuan Wu, Ye Yuan, Tao Liu, et al.
Precision Engineering (2024) Vol. 86, pp. 351-358
Closed Access | Times Cited: 2
Efficient breast cancer diagnosis using multi‐level progressive feature aggregation based deep transfer learning system
Vivek Patel, Vijayshri Chaurasia
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 2
Optimal Histopathological Magnification Factors for Deep Learning-Based Breast Cancer Prediction
Abduladhim Ashtaiwi
Applied System Innovation (2022) Vol. 5, Iss. 5, pp. 87-87
Open Access | Times Cited: 11
A Robust Ensemble Deep Learning Approach for Breast Cancer Diagnosis
Nadeen Amgad, Mariam Ahmed, Haidy Haitham, et al.
(2023), pp. 452-457
Closed Access | Times Cited: 6
Sickle cell disease classification using deep learning
Sanjeda Sara Jennifer, Mahbub Hasan Shamim, Ahmed Wasif Reza, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22203-e22203
Open Access | Times Cited: 6
Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database
Tania Afroz Toma, Shivazi Biswas, Md Sipon Miah, et al.
Radio Science (2023) Vol. 58, Iss. 11
Open Access | Times Cited: 6
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