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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:

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

Showing 1-25 of 37 citing articles:

Deep learning-enabled virtual histological staining of biological samples
Bijie Bai, Xilin Yang, Yuzhu Li, et al.
Light Science & Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 148
AI-driven 3D bioprinting for regenerative medicine: From bench to bedside
Huajin Zhang, Xianhao Zhou, Yongcong Fang, et al.
Bioactive Materials (2024) Vol. 45, pp. 201-230
Closed Access | Times Cited: 13
Virtual staining for histology by deep learning
Leena Latonen, Sonja Koivukoski, Umair Khan, et al.
Trends in biotechnology (2024) Vol. 42, Iss. 9, pp. 1177-1191
Open Access | Times Cited: 10
Unstained Tissue Imaging and Virtual Hematoxylin and Eosin Staining of Histologic Whole Slide Images
Sonja Koivukoski, Umair Khan, Pekka Ruusuvuori, et al.
Laboratory Investigation (2023) Vol. 103, Iss. 5, pp. 100070-100070
Open Access | Times Cited: 17
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
Multi-modality artificial intelligence in digital pathology
Yixuan Qiao, Lianhe Zhao, Chunlong Luo, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 25
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
Unpaired virtual histological staining using prior-guided generative adversarial networks
Renao Yan, Qiming He, Yiqing Liu, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 105, pp. 102185-102185
Closed Access | Times Cited: 12
The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review
Flavia Grignaffini, Francesco Barbuto, Maurizio Troiano, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 388-388
Open Access | Times Cited: 4
The Utility of Unsupervised Machine Learning in Anatomic Pathology
Ewen McAlpine, Pamela Michelow, Turgay Çelik
American Journal of Clinical Pathology (2021) Vol. 157, Iss. 1, pp. 5-14
Closed Access | Times Cited: 24
Virtual RNA Inference from Spatial Transcriptomics Reveals Histology-Associated Pathways that Stratify Metastasis Risk in Colorectal Cancer
Gokul Raghavendra Srinivasan, Minh‐Khang Le, Zarif Azher, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives
Shima Mehrvar, Lauren E. Himmel, Pradeep Babburi, et al.
Journal of Pathology Informatics (2021) Vol. 12, Iss. 1, pp. 42-42
Open Access | Times Cited: 21
Is it real or not? Toward artificial intelligence-based realistic synthetic cytology image generation to augment teaching and quality assurance in pathology
Ewen McAlpine, Pamela Michelow, Eric Liebenberg, et al.
Journal of the American Society of Cytopathology (2022) Vol. 11, Iss. 3, pp. 123-132
Closed Access | Times Cited: 12
Simple Code Implementation for Deep Learning–Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography
Tae Keun Yoo, Bo Yi Kim, Hyun Kyo Jeong, et al.
Translational Vision Science & Technology (2022) Vol. 11, Iss. 2, pp. 22-22
Open Access | Times Cited: 11
VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images
Kechun Liu, Beibin Li, Wenjun Wu, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 1918-1927
Open Access | Times Cited: 6
ArcticAI: A Deep Learning Platform for Rapid and Accurate Histological Assessment of Intraoperative Tumor Margins
Joshua Levy, Matthew Davis, Rachael Chacko, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7
Evaluation of tumor budding with virtual panCK stains generated by novel multi-model CNN framework
Xingzhong Hou, Zhen Guan, Xianwei Zhang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108352-108352
Closed Access | Times Cited: 1
Artificial Intelligence in Anatomic Pathology
Joshua Levy, Louis Vaickus
Advances in Molecular Pathology (2021) Vol. 4, pp. 145-171
Closed Access | Times Cited: 6
Artificial Intelligence, Bioinformatics, and Pathology
Joshua Levy, Yunrui Lu, Marietta Montivero, et al.
Advances in Molecular Pathology (2022) Vol. 5, Iss. 1, pp. e1-e24
Closed Access | Times Cited: 3
An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology
Michael Fatemi, Yunrui Lu, Alos Diallo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
A novel role of RNase L in the development of nonalcoholic steatohepatitis
Guanmin Chen, Xiaotong Zhao, Maksym Dankovskyy, et al.
The FASEB Journal (2023) Vol. 37, Iss. 9
Open Access | Times Cited: 1
The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows
Michael Fatemi, Yunrui Lu, Alos Diallo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Deep-learning-based cross-modality translation from Stokes image to bright-field contrast
Shilong Wei, Lu Si, Tongyu Huang, et al.
Journal of Biomedical Optics (2023) Vol. 28, Iss. 10
Open Access | Times Cited: 1
CS-Net: A Stain Style Transfer Network for Histology Images with CS-Gate Attention
Zhengze Gong, Xipeng Pan, Chu Han, et al.
Communications in computer and information science (2024), pp. 19-32
Closed Access
Deep learning for rapid virtual H&E staining of label-free glioma tissue from hyperspectral images
Ruohua Zhu, Haiyang He, Yu‐Zhe Chen, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108958-108958
Closed Access
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