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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:

Topological Feature Extraction and Visualization of Whole Slide Images using Graph Neural Networks
Joshua Levy, Christian C. Haudenschild, Clark Barwick, et al.
Biocomputing (2020)
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Graph Neural Networks and Their Current Applications in Bioinformatics
Xiaomeng Zhang, Liang Li, Lin Liu, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 223
Graph representation learning in biomedicine and healthcare
Michelle M. Li, Kexin Huang, Marinka Žitnik
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1353-1369
Open Access | Times Cited: 160
A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 17
A survey on graph-based deep learning for computational histopathology
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Computerized Medical Imaging and Graphics (2021) Vol. 95, pp. 102027-102027
Open Access | Times Cited: 77
Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
Khaled Al-Thelaya, Nauman Ullah Gilal, Mahmood Alzubaidi, et al.
Journal of Pathology Informatics (2023) Vol. 14, pp. 100335-100335
Open Access | Times Cited: 25
Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site
Joshua Levy, Matthew Davis, Rachael Chacko, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 8
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image
Jiangbo Shi, Lufei Tang, Yang Li, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 3000-3011
Closed Access | Times Cited: 15
A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies
Joshua Levy, Nasim Azizgolshani, Michael J. Andersen, et al.
Modern Pathology (2020) Vol. 34, Iss. 4, pp. 808-822
Open Access | Times Cited: 37
Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication
Zarif Azher, Anish Suvarna, Jiqing Chen, et al.
BioData Mining (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 10
Deep learning-powered whole slide image analysis in cancer pathology
Chengxue Dang, Zhuang Qi, Tao Xu, et al.
Laboratory Investigation (2025), pp. 104186-104186
Closed Access
Deep learning-based framework for slide-based histopathological image analysis
Sai Kosaraju, Jeongyeon Park, Hyun Lee, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering
Zihan Chen, Xingyu Li, Miaomiao Yang, et al.
The Journal of Pathology Clinical Research (2022) Vol. 9, Iss. 1, pp. 3-17
Open Access | Times Cited: 16
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: 7
Graph Neural Network for representation learning of lung cancer
Rukhma Aftab, Yan Qiang, Juanjuan Zhao, et al.
BMC Cancer (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
The importance of graph databases and graph learning for clinical applications
Daniel Walke, Daniel Micheel, Kay Schallert, et al.
Database (2023) Vol. 2024
Open Access | Times Cited: 5
Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining
Gokul Raghavendra Srinivasan, Matthew Davis, Matthew LeBoeuf, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Recent advancement in learning methodology for segmenting brain tumor from magnetic resonance imaging -a review
Sunayana G. Domadia, Falgunkumar N. Thakkar, Mayank A. Ardeshana
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34809-34845
Closed Access | Times Cited: 4
Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis
Zarif Azher, Michael Fatemi, Yunrui Lu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Machine learning techniques on homological persistence features for prostate cancer diagnosis
Abbas Rammal, Rabih Assaf, Alban Goupil, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 7
A graph neural network framework for mapping histological topology in oral mucosal tissue
Aravind Nair, Helena Arvidsson, Jorge E. Gatica V., et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 7
A deep learning algorithm to detect cutaneous squamous cell carcinoma on frozen sections in Mohs micrographic surgery: A retrospective assessment
Matthew Davis, Gokul Raghavendra Srinivasan, Rachael Chacko, et al.
Experimental Dermatology (2023) Vol. 33, Iss. 1
Open Access | Times Cited: 3
High-Resolution Histopathological Image Classification Model Based on Fused Heterogeneous Networks with Self-Supervised Feature Representation
Zhi-Fei Lai, Gang Zhang, Xiaobo Zhang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 5
Artificial intelligence techniques for neuropathological diagnostics and research
Islam Alzoubi, Guoqing Bao, Yuqi Zheng, et al.
Neuropathology (2022) Vol. 43, Iss. 4, pp. 277-296
Open Access | Times Cited: 5
Artificial Intelligence in Anatomic Pathology
Joshua Levy, Louis Vaickus
Advances in Molecular Pathology (2021) Vol. 4, pp. 145-171
Closed Access | Times Cited: 6
Paired-agent imaging as a rapid en face margin screening method in Mohs micrographic surgery
Veronica C. Torres, Sassan Hodge, Joshua Levy, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
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