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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:

Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks
Sumit Kumar, Shallu Sharma
Evolutionary Intelligence (2021) Vol. 15, Iss. 3, pp. 1531-1543
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

The Xception model: A potential feature extractor in breast cancer histology images classification
Shallu Sharma, Sumit Kumar
ICT Express (2021) Vol. 8, Iss. 1, pp. 101-108
Open Access | Times Cited: 91
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
An Invasive Ductal Carcinomas Breast Cancer Grade Classification Using an Ensemble of Convolutional Neural Networks
Eelandula Kumaraswamy, Sumit Kumar, Manoj Sharma
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1977-1977
Open Access | Times Cited: 20
Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis
Ehtisham Khan Jadoon, Fiaz Gul Khan, Sajid Shah, et al.
IEEE Access (2023) Vol. 11, pp. 85760-85769
Open Access | Times Cited: 16
Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1038-1053
Open Access | Times Cited: 7
Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images
Yujian Liu, Xiaozhang Liu, Yuan Qi
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 6
LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image Processing
Bassam M. Kanber, Ahmad Al Smadi, Naglaa F. Noaman, et al.
IEEE Access (2024) Vol. 12, pp. 39811-39832
Open Access | Times Cited: 6
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
Cléber I. de Oliveira, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 21929-21952
Closed Access | Times Cited: 14
FabNet: A Features Agglomeration-Based Convolutional Neural Network for Multiscale Breast Cancer Histopathology Images Classification
Muhammad Amin, Hyun‐Sik Ahn
Cancers (2023) Vol. 15, Iss. 4, pp. 1013-1013
Open Access | Times Cited: 13
Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method
Majid Sepahvand, Fardin Abdali-Mohammadi
Computers in Biology and Medicine (2022) Vol. 145, pp. 105413-105413
Closed Access | Times Cited: 17
Retrospective Study of Convolutional Neural Network for Medical Image Analysis and a Deep Insight Through Histopathological Dataset
Shallu Sharma, Eelandula Kumaraswamy, Sumit Kumar
Lecture notes in electrical engineering (2023), pp. 47-58
Closed Access | Times Cited: 6
Invasive Ductal Carcinoma Grade Classification in Histopathological Images using Transfer Learning Approach
Eelandula Kumaraswamy, Shallu Sharma, Sumit Kumar
2021 IEEE Bombay Section Signature Conference (IBSSC) (2021), pp. 1-6
Closed Access | Times Cited: 13
Recent Trends and advances in deep learning techniques for the classification of landslides using satellite images: comprehensive survey
Anuj K. Sharma, Sumeet Chopra, S.G. Sapate, et al.
IOP Conference Series Earth and Environmental Science (2024) Vol. 1285, Iss. 1, pp. 012024-012024
Open Access | Times Cited: 1
Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis
Yang Liu, Yiqi Zhu, Zhehao Gu, et al.
Computer Vision and Image Understanding (2024) Vol. 247, pp. 104065-104065
Closed Access | Times Cited: 1
Adaptive magnification network for precise tumor analysis in histopathological images
Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
Computers in Human Behavior (2024) Vol. 156, pp. 108222-108222
Closed Access | Times Cited: 1
PLA—A Privacy-Embedded Lightweight and Efficient Automated Breast Cancer Accurate Diagnosis Framework for the Internet of Medical Things
Chengxiao Yan, Xiaoyang Zeng, Rui Xi, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4923-4923
Open Access | Times Cited: 3
Cancer Prediction Using Random Forest and Deep Learning Techniques
Muskan Ranjan, Akanksha Shukla, Kartik Soni, et al.
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2022), pp. 227-231
Closed Access | Times Cited: 5
Deep transfer CNNs models performance evaluation using unbalanced histopathological breast cancer dataset
Saifur Rehman Khan, Asif Raza, Inzamam Shahzad, et al.
Lahore Garrison University Research Journal of Computer Science and Information Technology (2024) Vol. 8, Iss. 1
Open Access
Revolutionizing Breast Cancer Subtyping: A Multi-Omic and Pan-Cancer Deep Learning Approach
S. Madhavi, S Nidhinkumar, P Raghul, et al.
(2024), pp. 1-6
Closed Access
A Novel Approach for color-balanced Reference Image Selection for Breast Histology Image Normalization
M. Abdul Jawad, Farida Khursheed
Research Square (Research Square) (2024)
Open Access
A Novel Approach for Color-Balanced Reference Image Selection for Breast Histology Image Normalization
M. Abdul Jawad, Farida Khursheed
(2024)
Open Access
A novel approach for color-balanced reference image selection for breast histology image normalization
M. Abdul Jawad, Farida Khursheed
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106299-106299
Open Access
Performance Analysis of Feature Extraction and Deep Learning Approaches on Whole and Segmented Histopathological Images for Cancer Grade Classification
Eelandula Kumaraswamy, Sumit Kumar, Shallu Sharma
(2024), pp. 1-7
Closed Access
Deep learning architectures in computer vision based medical imaging applications with emerging challenges
Sumit Kumar, Shallu Sharma
Elsevier eBooks (2024), pp. 193-238
Closed Access
Virtual histopathology methods in medical imaging - a systematic review
Muhammad Imran, Imran Shafi, Jamil Ahmad, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
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