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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:

Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment
Daniel Luz, Thiago Lima, Romuere Silva, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103564-103564
Closed Access | Times Cited: 23

Showing 23 citing articles:

MENet: A Mitscherlich function based ensemble of CNN models to classify lung cancer using CT scans
Surya Majumder, Nandita Gautam, Abhishek Basu, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0298527-e0298527
Open Access | Times Cited: 11
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
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
Examining the classification performance of pre‐trained capsule networks on imbalanced bone marrow cell dataset
Nesrin Aydın Atasoy, Amina Faris Abdulla Al Rahhawi
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 3
Open Access | Times Cited: 5
BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer
Md Mahbubur Rahman, Md. Saikat Islam Khan, Hafiz Md. Hasan Babu
Array (2022) Vol. 16, pp. 100256-100256
Open Access | Times Cited: 20
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
Sena Busra Yengec-Tasdemir, Zafer Aydın, Ebru Akay, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 232, pp. 107441-107441
Closed Access | Times Cited: 12
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features
Thiago Lima, Daniel Luz, Antônio Oseas, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42977-42993
Open Access | Times Cited: 8
Improving the performance of multi-stage HER2 breast cancer detection in hematoxylin-eosin images based on ensemble deep learning
Pateel G.P., Kedarnath Senapati, Abhishek Kumar Pandey
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107016-107016
Closed Access | Times Cited: 2
SPPPred: Sequence-Based Protein-Peptide Binding Residue Prediction Using Genetic Programming and Ensemble Learning
Shima Shafiee, Abdolhossein Fathi, Ghazaleh Taherzadeh
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 2029-2040
Closed Access | Times Cited: 7
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images
Dewinda Julianensi Rumala, Peter M. A. van Ooijen, Reza Fuad Rachmadi, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1460-1479
Closed Access | Times Cited: 2
M2CE: Multi‐convolutional neural network ensemble approach for improved multiclass classification of skin lesion
Himanshu K. Gajera, Deepak Ranjan Nayak, Mukesh A. Zaveri
Expert Systems (2023) Vol. 40, Iss. 10
Closed Access | Times Cited: 2
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
Dewinda Julianensi Rumala, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, et al.
EMITTER International Journal of Engineering Technology (2024) Vol. 12, Iss. 2, pp. 93-111
Open Access
Fusion of ESRGAN, Adaptive NSCT, and Multi-Attention CNN with Wavelet Transform for Histopathological Image Classification
Sufiyan Bashir Mukadam, Hemprasad Yashwant Patil
IEEE Access (2024) Vol. 12, pp. 129977-129993
Open Access
A comprehensive review of tubule formation in histopathology images: advancement in tubule and tumor detection techniques
Joseph Jiun Wen Siet, Xiao Jian Tan, Wai Loon Cheor, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access
The Challenge of Deep Learning for the Prevention and Automatic Diagnosis of Breast Cancer: A Systematic Review
Jhelly Pérez, Ciro Rodríguez, Luis-Javier Vásquez-Serpa, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2896-2896
Open Access
Deep learning approaches for detection, classification, and localization of breast cancer using microscopic images: A review and bibliometric analysis
Sonam Tyagi, Subodh Srivastava, Bikash Chandra Sahana
Research on Biomedical Engineering (2024) Vol. 41, Iss. 1
Closed Access
Application of machine learning algorithms in drug screening
Ke Jin, Cunqing Rong, Jincai Chang
Journal of Complexity in Health Sciences (2023) Vol. 6, Iss. 2, pp. 35-48
Open Access | Times Cited: 1
Malignant breast lesions detection in histopathological images based on the combination of bioinspired texture descriptors and deep features
Daniel Luz, Tomaz Ribeiro Viana Bisneto, Thiago Lima, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 5, pp. 1889-1896
Closed Access | Times Cited: 1
Analysis of the Impact of Color Spaces on Skin Cancer Diagnosis Using Deep Learning Techniques
Diarra Mamadou, Kacoutchy Jean Ayikpa, Abou Bakary Ballo, et al.
Revue d intelligence artificielle (2023) Vol. 37, Iss. 6, pp. 1377-1385
Open Access | Times Cited: 1
Enabling Intelligent IoTs for Histopathology Image Analysis Using Convolutional Neural Networks
Mohammed H. Alali, Arman Roohi, Shaahin Angizi, et al.
Micromachines (2022) Vol. 13, Iss. 8, pp. 1364-1364
Open Access | Times Cited: 2
BreastMultiNet: A Multi-Scale Feature Fusion Method Using Deep Neural Network to Detect Breast Cancer
Md Mahbubur Rahman, Md. Saikat Islam Khan, Hafiz Md. Hasan Babu
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2
Histopathology Image-Based Cancer Classification Utilizing Transfer Learning Approach
Amir Meydani, Alireza Meidani, Ali Ramezani, et al.
(2023)
Closed Access
Diagnóstico automático de lesões malignas de mama em imagens histopatológicas usando mensuração mútua de características de textura bioinspiradas e Deep Learning
Tomaz Ribeiro Viana Bisneto, Flávio Araújo
(2022), pp. 246-255
Open Access
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