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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:

Segmentation and Grade Prediction of Colon Cancer Digital Pathology Images Across Multiple Institutions
Saima Rathore, Muhammad Aksam Iftikhar, Ahmad Chaddad, et al.
Cancers (2019) Vol. 11, Iss. 11, pp. 1700-1700
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Validation of miRNAs as Breast Cancer Biomarkers with a Machine Learning Approach
Oneeb Rehman, Hanqi Zhuang, Ali Muhamed Ali, et al.
Cancers (2019) Vol. 11, Iss. 3, pp. 431-431
Open Access | Times Cited: 76
Colon cancer prediction on histological images using deep learning features and Bayesian optimized SVM
Tina Babu, Tripty Singh, Deepa Gupta, et al.
Journal of Intelligent & Fuzzy Systems (2021) Vol. 41, Iss. 5, pp. 5275-5286
Closed Access | Times Cited: 57
Digital Pathology Initiatives and Experience of a Large Academic Institution During the Coronavirus Disease 2019 (COVID-19) Pandemic
Giovanni Lujan, Johanna Savage, Arwa Shana’ah, et al.
Archives of Pathology & Laboratory Medicine (2021) Vol. 145, Iss. 9, pp. 1051-1061
Open Access | Times Cited: 57
Role of artificial intelligence in digital pathology for gynecological cancers
Yali Wang, Song Gao, Qian Xiao, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 24, pp. 205-212
Open Access | Times Cited: 14
Deep learning-based tumor microenvironment analysis in colon adenocarcinoma histopathological whole-slide images
Yiping Jiao, Junhong Li, Chenqi Qian, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 204, pp. 106047-106047
Closed Access | Times Cited: 55
Glioma Grading via Analysis of Digital Pathology Images Using Machine Learning
Saima Rathore, Tamim Niazi, Muhammad Aksam Iftikhar, et al.
Cancers (2020) Vol. 12, Iss. 3, pp. 578-578
Open Access | Times Cited: 53
Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s Stratification
Octav Ginghină, Ariana Hudiță, Marius Zamfir, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 34
Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers
Alex Ngai Nick Wong, ZeBang He, Ka Long Leung, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3780-3780
Open Access | Times Cited: 31
Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques
Mai Tharwat, Nehal A. Sakr, Shaker El–Sappagh, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9250-9250
Open Access | Times Cited: 23
Impact of Stain Normalization on Pathologist Assessment of Prostate Cancer: A Comparative Study
Massimo Salvi, Alessandro Caputo, Davide Balmativola, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1503-1503
Open Access | Times Cited: 15
Robust Magnification Independent Colon Biopsy Grading System over Multiple Data Sources
Tina Babu, Deepa Gupta, Tripty Singh, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 99-128
Open Access | Times Cited: 27
Computer-aided diagnosis system for grading brain tumor using histopathology images based on color and texture features
Naira Elazab, Wael Gab Allah, Mohammed Elmogy
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
A Combined MaskRCNN-Watershed Model for Colorectal Gland Segmentation from Histological Images
Ferialle Lahreche, Slimane Oulad-Naoui, Ballou Mansoura, et al.
Lecture notes in networks and systems (2025), pp. 254-266
Closed Access
Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning
Saumya Tiwari, Kianoush Falahkheirkhah, Georgina Cheng, et al.
Applied Spectroscopy (2022) Vol. 76, Iss. 4, pp. 475-484
Open Access | Times Cited: 15
Colon cancer prediction using 2DReCA segmentation and hybrid features on histopathology images
Tina Babu, Tripty Singh, Deepa Gupta
IET Image Processing (2020) Vol. 14, Iss. 16, pp. 4144-4157
Open Access | Times Cited: 22
Colon Cancer Prediction with Transfer Learning and K-Means Clustering
Tina Babu, Rekha R Nair
Lecture notes in networks and systems (2023), pp. 191-200
Closed Access | Times Cited: 7
Segmentation of human functional tissue units in support of a Human Reference Atlas
Yashvardhan Jain, Leah L. Godwin, Yingnan Ju, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 7
Colon Cancer Detection Using Hybrid Features and Genetically Optimized Neural Network Classifier
Samrat Pundalik Khadilkar
International Journal of Image and Graphics (2021) Vol. 22, Iss. 02
Closed Access | Times Cited: 10
Unsupervised segmentation of biomedical hyperspectral image data: tackling high dimensionality with convolutional autoencoders
Ciaran Bench, Jayakrupakar Nallala, Chun‐Chin Wang, et al.
Biomedical Optics Express (2022) Vol. 13, Iss. 12, pp. 6373-6373
Open Access | Times Cited: 7
Impact of COVID-19 on the adoption of digital pathology
Mustafa Yousif, Lewis Hassell, Liron Pantanowitz
Elsevier eBooks (2022), pp. 95-107
Closed Access | Times Cited: 5
Classification of Colorectal Cancer Histology Images Using Image Reconstruction and Modified DenseNet
Tanmoy Sarkar, Animesh Hazra, Nibaran Das
Communications in computer and information science (2021), pp. 259-271
Closed Access | Times Cited: 6
Automatic Brain Tumor Detection Using Machine Learning and Mixed Supervision
Manoj Kumar, Anuj Rani, Supriya Raheja, et al.
Springer eBooks (2021), pp. 247-262
Closed Access | Times Cited: 5
Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification
Çağatay Berke Erdaş
PeerJ Computer Science (2024) Vol. 10, pp. e2071-e2071
Open Access
A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology
Svetlana Illarionova, Rifat Hamoudi, M. Zapevalina, et al.
Information Sciences (2024) Vol. 686, pp. 121358-121358
Closed Access
Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis
Barun Barua, Genevieve Chyrmang, Kangkana Bora, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2633-e2633
Open Access
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