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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:

Colon Tissues Classification and Localization in Whole Slide Images Using Deep Learning
Pushpanjali Gupta, Yenlin Huang, Prasan Kumar Sahoo, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1398-1398
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review
Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 837-837
Open Access | Times Cited: 77
The role of deep learning in diagnosing colorectal cancer
Dimitrios Bousis, Georgios‐Ioannis Verras, Konstantinos Bouchagier, et al.
Gastroenterology Review (2023) Vol. 18, Iss. 3, pp. 266-273
Open Access | Times Cited: 48
Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc‐Huy Trinh, et al.
Journal of Pathology Informatics (2024), pp. 100357-100357
Open Access | Times Cited: 34
Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?
David‐Dimitris Chlorogiannis, Georgios‐Ioannis Verras, Vassiliki Tzelepi, et al.
Gastroenterology Review (2023) Vol. 18, Iss. 4, pp. 353-367
Open Access | Times Cited: 36
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: 32
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: 16
EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological images
Xing-Liang Pan, Bo Hua, Ke Tong, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106933-106933
Closed Access | Times Cited: 5
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
Artificial Intelligence–Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens
Johanna Griem, Marie‐Lisa Eich, Simon Schallenberg, et al.
Modern Pathology (2023) Vol. 36, Iss. 12, pp. 100327-100327
Open Access | Times Cited: 12
Association of the pathomics-collagen signature with lymph node metastasis in colorectal cancer: a retrospective multicenter study
Wei Jiang, Huaiming Wang, Xiaoyu Dong, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
Sena Busra Yengec-Tasdemir, Zafer Aydın, Ebru Akay, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108267-108267
Open Access | Times Cited: 4
Localization of Colorectal Cancer Lesions in Contrast-Computed Tomography Images via a Deep Learning Approach
Prasan Kumar Sahoo, Pushpanjali Gupta, Ying‐Chieh Lai, et al.
Bioengineering (2023) Vol. 10, Iss. 8, pp. 972-972
Open Access | Times Cited: 10
Colorectal cancer classification using weakly annotated whole slide images: Multiple instance learning optimization study
Ahmed Saeed, Mohamed A. Ismail, Nagia M. Ghanem
Computers in Biology and Medicine (2025) Vol. 186, pp. 109649-109649
Closed Access
Segmentation of ADPKD Computed Tomography Images with Deep Learning Approach for Predicting Total Kidney Volume
Ting‐Wen Sheng, Djeane Debora Onthoni, Pushpanjali Gupta, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 263-263
Open Access
Interpretable Self-Supervised Contrastive Learning for Colorectal Cancer Histopathology: GradCAM Visualization
Tarun Jain
Research Square (Research Square) (2025)
Closed Access
Accurate Prediction of Metachronous Liver Metastasis in Stage I-III Colorectal Cancer Patients Using Deep Learning With Digital Pathological Images
Chanchan Xiao, Meihua Zhou, Xihua Yang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 11
The effect of pain-education nursing based on a mind map on postoperative pain score and quality of life in patients with colorectal cancer
Shan Li, Xiaohong Zhu, Lihua Zhang, et al.
Medicine (2023) Vol. 102, Iss. 19, pp. e33562-e33562
Open Access | Times Cited: 5
Glaucoma Classification Using Enhanced Deep Transfer Learning Models with Hybrid ROI Cropped Optic Disc Technique
Piyush Bhushan Singh, Pawan Singh, Harsh Dev, et al.
SN Computer Science (2023) Vol. 4, Iss. 6
Closed Access | Times Cited: 5
Automated detection of colon cancer from histopathological images using deep neural networks
Mirka Suominen, Muhammed Enes Subasi, Abdülhamit Subaşı
Elsevier eBooks (2024), pp. 243-287
Closed Access | Times Cited: 1
Detection of cardiovascular disease using explainable artificial intelligence and gut microbiota data
Can Duyar, Simone Oliver Senica, Habil Kalkan
Intelligence-Based Medicine (2024), pp. 100180-100180
Open Access | Times Cited: 1
Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth?
James Weiquan Li, Lai Mun Wang, Katsuro Ichimasa, et al.
Clinical Endoscopy (2023) Vol. 57, Iss. 1, pp. 24-35
Open Access | Times Cited: 3
Classification of Colorectal Polyps from Histopathological Images using Ensemble of ConvNeXt Variants
Sena Busra Yengec-Tasdemir, Ebru Akay, Serkan Doğan, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 4
Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
Young‐Gon Kim, In Hye Song, Seung Yeon Cho, et al.
Cancer Research and Treatment (2022) Vol. 55, Iss. 2, pp. 513-522
Open Access | Times Cited: 4
CoC-ResNet - classification of colorectal cancer on histopathologic images using residual networks
Rohan Kishor, R. S. Vinod Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 56965-56989
Closed Access | Times Cited: 2
Detection of Cardiovascular Disease Using Gut Microbiota Data
Can Duyar, Simone Oliver Senica, Habil Kalkan
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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