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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:

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
Alicja Rączkowska, Marcin Możejko, Joanna Zambonelli, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 105

Showing 26-50 of 105 citing articles:

End-to-End diagnosis of breast biopsy images with transformers
Sachin Mehta, Ximing Lu, Wenjun Wu, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102466-102466
Open Access | Times Cited: 22
A comprehensive survey of intestine histopathological image analysis using machine vision approaches
Yujie Jing, Chen Li, Tianming Du, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107388-107388
Closed Access | Times Cited: 13
A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics
Hunter Dlugas, Seongho Kim
Metabolites (2025) Vol. 15, Iss. 3, pp. 174-174
Open Access
Efficient annotation bootstrapping for cell identification in follicular lymphoma
Adam Krawczyk, Aleksandra Maria Osowska-Kurczab, Sławomir Pakuło, et al.
Computer Methods and Programs in Biomedicine (2025), pp. 108728-108728
Closed Access
A CNN-based active learning framework to identify mycobacteria in digitized Ziehl-Neelsen stained human tissues
Mu Yang, Karolina Nurzyńska, Ann E. Walts, et al.
Computerized Medical Imaging and Graphics (2020) Vol. 84, pp. 101752-101752
Closed Access | Times Cited: 35
Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects
Kewei Wang, Ming Dong
World Journal of Gastroenterology (2020) Vol. 26, Iss. 34, pp. 5090-5100
Open Access | Times Cited: 35
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images
Ponkrshnan Thiagarajan, Pushkar Khairnar, Susanta Ghosh
IEEE Transactions on Medical Imaging (2021) Vol. 41, Iss. 4, pp. 815-825
Open Access | Times Cited: 31
Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer
Alicja Rączkowska, Iwona Paśnik, Michał Kukiełka, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 20
Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability
Nicola Altini, Emilia Puro, Maria Giovanna Taccogna, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 396-396
Open Access | Times Cited: 12
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology
Sophia J. Wagner, Christian Matek, Sayedali Shetab Boushehri, et al.
Modern Pathology (2023) Vol. 37, Iss. 1, pp. 100350-100350
Open Access | Times Cited: 12
A New Deep Learning Model Selection Method for Colorectal Cancer Classification
Nassima Dif, Zakaria Elberrichi
International Journal of Swarm Intelligence Research (2020) Vol. 11, Iss. 3, pp. 72-88
Closed Access | Times Cited: 28
Multiscale Analysis for Improving Texture Classification
Steve Tsham Mpinda Ataky, Diego Saqui, Jonathan de Matos, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1291-1291
Open Access | Times Cited: 10
A CA–Markov-Based Simulation and Prediction of LULC Changes over the Nyabarongo River Basin, Rwanda
Aboubakar Gasirabo, Xi Chen, Baligira R. Hamad, et al.
Land (2023) Vol. 12, Iss. 9, pp. 1788-1788
Open Access | Times Cited: 10
Uncertainty estimation in the classification of histopathological images with HER2 overexpression using Monte Carlo Dropout
Sebastián Bórquez, R. Pezoa, Luís Salinas, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104864-104864
Closed Access | Times Cited: 9
SnapEnsemFS: a snapshot ensembling-based deep feature selection model for colorectal cancer histological analysis
Soumitri Chattopadhyay, Pawan Kumar Singh, Muhammad Fazal Ijaz, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Uncertainty in Bayesian deep label distribution learning
Rui Zheng, Shulin Zhang, Lei Liu, et al.
Applied Soft Computing (2020) Vol. 101, pp. 107046-107046
Open Access | Times Cited: 26
Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty
Michael Dohopolski, Liyuan Chen, David J. Sher, et al.
Physics in Medicine and Biology (2020) Vol. 65, Iss. 22, pp. 225002-225002
Closed Access | Times Cited: 25
3PCNNB-Net: Three Parallel CNN Branches for Breast Cancer Classification Through Histopathological Images
Amira Mofreh Ibraheem, Kamel H. Rahouma, Hesham F. A. Hamed
Journal of Medical and Biological Engineering (2021) Vol. 41, Iss. 4, pp. 494-503
Closed Access | Times Cited: 20
Active learning for left ventricle segmentation in echocardiography
Eman Alajrami, Tiffany Ng, Jevgeni Jevsikov, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108111-108111
Open Access | Times Cited: 2
Focused active learning for histopathological image classification
Arne Schmidt, Pablo Morales-Álvarez, Lee Cooper, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103162-103162
Open Access | Times Cited: 2
Quantitative Modeling to Characterize Maternal Inflammatory Response of Histologic Chorioamnionitis in Placental Membranes
Teresa Chou, Karolina J. Senkow, Minh Nguyen, et al.
American Journal of Reproductive Immunology (2024) Vol. 92, Iss. 4
Closed Access | Times Cited: 2
Effective active learning in digital pathology: A case study in tumor infiltrating lymphocytes
André L. S. Meirelles, Tahsin Kurç, Joel Saltz, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 220, pp. 106828-106828
Open Access | Times Cited: 12
Machine Learning Based Lens-Free Shadow Imaging Technique for Field-Portable Cytometry
Rajkumar Vaghashiya, Sang-Hoon Shin, Varun Chauhan, et al.
Biosensors (2022) Vol. 12, Iss. 3, pp. 144-144
Open Access | Times Cited: 11
DeepHistoClass: A Novel Strategy for Confident Classification of Immunohistochemistry Images Using Deep Learning
Biraja Ghoshal, Feria Hikmet, Charles Pineau, et al.
Molecular & Cellular Proteomics (2021) Vol. 20, pp. 100140-100140
Open Access | Times Cited: 15
Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning
Jing Ke, Yiqing Shen, Yizhou Lu, et al.
Laboratory Investigation (2021) Vol. 101, Iss. 4, pp. 513-524
Open Access | Times Cited: 14

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