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:
CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification
Hongxiao Wang, Gang Huang, Zhuo Zhao, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3179-3193
Closed Access | Times Cited: 13
Hongxiao Wang, Gang Huang, Zhuo Zhao, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3179-3193
Closed Access | Times Cited: 13
Showing 13 citing articles:
Graph neural networks in histopathology: Emerging trends and future directions
Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103444-103444
Open Access | Times Cited: 3
Siemen Brussee, Giorgio Buzzanca, Anne M.R. Schrader, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103444-103444
Open Access | Times Cited: 3
Masked hypergraph learning for weakly supervised histopathology whole slide image classification
Jun Shi, Tong Shu, Kun Wu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 253, pp. 108237-108237
Closed Access | Times Cited: 6
Jun Shi, Tong Shu, Kun Wu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 253, pp. 108237-108237
Closed Access | Times Cited: 6
Bi-level graph learning unveils prognosis-relevant tumor microenvironment patterns in breast multiplexed digital pathology
Zhenzhen Wang, Cesar A. Santa‐Maria, Aleksander S. Popel, et al.
Patterns (2025) Vol. 6, Iss. 3, pp. 101178-101178
Open Access
Zhenzhen Wang, Cesar A. Santa‐Maria, Aleksander S. Popel, et al.
Patterns (2025) Vol. 6, Iss. 3, pp. 101178-101178
Open Access
An adaptive feature fusion framework of CNN and GNN for histopathology images classification
Linhao Li, Min Xu, Shuai Chen, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110186-110186
Closed Access
Linhao Li, Min Xu, Shuai Chen, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110186-110186
Closed Access
Multi-Modal Graph Neural Networks for Colposcopy Data Classification and Visualization
Priyadarshini Chatterjee, Shadab Siddiqui, Priyadarshini Chatterjee, et al.
Cancers (2025) Vol. 17, Iss. 9, pp. 1521-1521
Open Access
Priyadarshini Chatterjee, Shadab Siddiqui, Priyadarshini Chatterjee, et al.
Cancers (2025) Vol. 17, Iss. 9, pp. 1521-1521
Open Access
MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges
Xiaoxiao Li, Zhengxiong Li, Taobo Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6019-6030
Closed Access | Times Cited: 3
Xiaoxiao Li, Zhengxiong Li, Taobo Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6019-6030
Closed Access | Times Cited: 3
Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network
Sidratul Montaha, Sami Azam, Md. Rahad Islam Bhuiyan, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Sidratul Montaha, Sami Azam, Md. Rahad Islam Bhuiyan, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends
Grigoriy Gogoshin, Andréi S. Rodin
Cancers (2023) Vol. 15, Iss. 24, pp. 5858-5858
Open Access | Times Cited: 6
Grigoriy Gogoshin, Andréi S. Rodin
Cancers (2023) Vol. 15, Iss. 24, pp. 5858-5858
Open Access | Times Cited: 6
Prognosis prediction based on liver histopathological image via graph deep learning and transformer
J. W. Zhang, Zhanquan Sun, Kang Wang, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111653-111653
Closed Access | Times Cited: 1
J. W. Zhang, Zhanquan Sun, Kang Wang, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111653-111653
Closed Access | Times Cited: 1
Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 1
Loan Dao, Ngoc Quoc Ly
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 1
TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs
Fan Wang, Zhilin Zou, Nicole Sakla, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103373-103373
Open Access | Times Cited: 1
Fan Wang, Zhilin Zou, Nicole Sakla, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103373-103373
Open Access | Times Cited: 1
Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology
Zhenzhen Wang, Cesar A. Santa‐Maria, Aleksander S. Popel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Zhenzhen Wang, Cesar A. Santa‐Maria, Aleksander S. Popel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Generalized Deep Learning for Histopathology Image Classification Using Supervised Contrastive Learning
Md Mamunur Rahaman, Ewan K.A. Millar, Erik Meijering
Journal of Advanced Research (2024)
Open Access
Md Mamunur Rahaman, Ewan K.A. Millar, Erik Meijering
Journal of Advanced Research (2024)
Open Access
Graph Neural Networks in Cancer and Oncology Research: Emerging and Future Trends
Grigoriy Gogoshin, Andréi S. Rodin
(2023)
Open Access
Grigoriy Gogoshin, Andréi S. Rodin
(2023)
Open Access
