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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:

Artificial intelligence and computational pathology
Miao Cui, David Y. Zhang
Laboratory Investigation (2021) Vol. 101, Iss. 4, pp. 412-422
Open Access | Times Cited: 389

Showing 26-50 of 389 citing articles:

Applications of machine learning in routine laboratory medicine: Current state and future directions
Naveed Rabbani, Grace Y.E. Kim, Carlos J. Suarez, et al.
Clinical Biochemistry (2022) Vol. 103, pp. 1-7
Open Access | Times Cited: 66
Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems
Nian Dai, Iek Man Lei, Zhaoyang Li, et al.
Nano Energy (2022) Vol. 105, pp. 108041-108041
Closed Access | Times Cited: 65
A Transfer Learning Architecture Based on a Support Vector Machine for Histopathology Image Classification
Jiayi Fan, JangHyeon Lee, YongKeun Lee
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6380-6380
Open Access | Times Cited: 63
The state of the art for artificial intelligence in lung digital pathology
Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, et al.
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 413-429
Open Access | Times Cited: 59
Cellular senescence in cancer: clinical detection and prognostic implications
Andreas Domen, Christophe Deben, Jasper Verswyvel, et al.
Journal of Experimental & Clinical Cancer Research (2022) Vol. 41, Iss. 1
Open Access | Times Cited: 52
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images
Nadia Brancati, Anna Maria Anniciello, Pushpak Pati, et al.
Database (2022) Vol. 2022
Open Access | Times Cited: 51
Developing image analysis methods for digital pathology
Peter Bankhead
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 391-402
Open Access | Times Cited: 39
Explainability and causability in digital pathology
Markus Plass, Michaela Kargl, Tim‐Rasmus Kiehl, et al.
The Journal of Pathology Clinical Research (2023) Vol. 9, Iss. 4, pp. 251-260
Open Access | Times Cited: 38
Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment
Kirthika Senthil Kumar, Vanja Mišković, Agata Blasiak, et al.
American Society of Clinical Oncology Educational Book (2023), Iss. 43
Open Access | Times Cited: 33
Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models
Asim Waqas, Marilyn M. Bui, Eric F. Glassy, et al.
Laboratory Investigation (2023) Vol. 103, Iss. 11, pp. 100255-100255
Open Access | Times Cited: 32
Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects
Gregory Verghese, Jochen K. Lennerz, Danny Ruta, et al.
The Journal of Pathology (2023) Vol. 260, Iss. 5, pp. 551-563
Open Access | Times Cited: 30
Investigating the impact of artificial intelligence on human resource functions in the health sector of China: A mediated moderation model
Muhammad Farrukh Shahzad, Shuo Xu, Waliha Naveed, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21818-e21818
Open Access | Times Cited: 26
From the basics to emerging diagnostic technologies: What is on the horizon for tilapia disease diagnostics?
Ha Thanh Dong, Thawatchai Chaijarasphong, Andrew C. Barnes, et al.
Reviews in Aquaculture (2023) Vol. 15, Iss. S1, pp. 186-212
Open Access | Times Cited: 25
A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancer
Connor Stashko, Mary-Kate Hayward, Jason J. Northey, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Artificial intelligence-aided optical imaging for cancer theranostics
Mengze Xu, Zhiyi Chen, Junxiao Zheng, et al.
Seminars in Cancer Biology (2023) Vol. 94, pp. 62-80
Closed Access | Times Cited: 23
Machine learning in computational histopathology: Challenges and opportunities
Michael Cooper, Zongliang Ji, Rahul G. Krishnan
Genes Chromosomes and Cancer (2023) Vol. 62, Iss. 9, pp. 540-556
Open Access | Times Cited: 22
Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions
Hooman H. Rashidi, Kelly Bowers, Morayma Reyes Gil
Journal of Thrombosis and Haemostasis (2023) Vol. 21, Iss. 4, pp. 728-743
Open Access | Times Cited: 21
Comprehensive Study of Compression and Texture Integration for Digital Imaging and Communications in Medicine Data Analysis
Amit Kumar Shakya, Anurag Vidyarthi
Technologies (2024) Vol. 12, Iss. 2, pp. 17-17
Open Access | Times Cited: 13
NuInsSeg: A fully annotated dataset for nuclei instance segmentation in H&E-stained histological images
Amirreza Mahbod, Christine Polak, Katharina Feldmann, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 13
An artificial intelligence‐driven scoring system to measure histological disease activity in ulcerative colitis
Laurent Peyrin‐Biroulet, Shashi Adsul, Andrea Stancati, et al.
United European Gastroenterology Journal (2024) Vol. 12, Iss. 8, pp. 1028-1033
Open Access | Times Cited: 13
Digital Pathology Ecosystem: Basic Elements to Revolutionize the Diagnosis and Monitoring of Diseases in Health Sector
Mario Coccia
Contributions to management science (2024), pp. 111-134
Closed Access | Times Cited: 11
AI in Indian healthcare: From roadmap to reality
Sushanta Kumar Das, Ramesh Kumari Dasgupta, Saumendu Deb Roy, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 3, pp. 329-334
Open Access | Times Cited: 10
Dual-Channel Prototype Network for Few-Shot Pathology Image Classification
Hao Quan, Xinjia Li, Dayu Hu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4132-4144
Closed Access | Times Cited: 10
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
Wenhao Tang, Fengtao Zhou, Sheng Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 5, pp. 11343-11352
Closed Access | Times Cited: 10
Artificial Intelligence-Enabled Prostate Cancer Diagnosis and Prognosis: Current State and Future Implications
Swati Satturwar, Anil V. Parwani
Advances in Anatomic Pathology (2024) Vol. 31, Iss. 2, pp. 136-144
Closed Access | Times Cited: 9

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