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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:

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: 62

Showing 26-50 of 62 citing articles:

A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
Leonid Mill, Oliver Aust, Jochen A. Ackermann, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Advances in the Application of Deep Learning in Prognostic Models for Non-Small Cell Lung Cancer
Fengxia Chen
Health (2025) Vol. 17, Iss. 03, pp. 172-182
Open Access
Thoracic Ultrasound for Pre-Procedural Dynamic Assessment of Non-Expandable Lung: A Non-Invasive, Real-Time and Multifaceted Diagnostic Tool
Gianluca Marchi, Federico Cucchiara, Alessio Gregori, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 2062-2062
Open Access
CAMAF: Context-Aware Multimodal Alignment Framework for explainable lung disease risk stratification
Subba Rao Dusari, Nagendra Panini Challa
Expert Systems with Applications (2025), pp. 127398-127398
Closed Access
Robotic-Assisted Bronchoscopy for Histopathologic Subtyping of Primary Lung Adenocarcinoma
Or Kalchiem‐Dekel, Rastko Rakočević, Nicolas Toumbacaris, et al.
(2025)
Closed Access
Advancements in pathology: Digital transformation, precision medicine, and beyond
S. Ahuja, Sufian Zaheer
Journal of Pathology Informatics (2024) Vol. 16, pp. 100408-100408
Open Access | Times Cited: 3
Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning
Gavin R. Meehan, Vanessa Herder, Jay Allan, et al.
PLoS Pathogens (2023) Vol. 19, Iss. 11, pp. e1011589-e1011589
Open Access | Times Cited: 9
An online survival predictor in glioma patients using machine learning based on WHO CNS5 data
Liguo Ye, Lingui Gu, Zhiyao Zheng, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 7
The Cross-Scale Association between Pathomics and Radiomics Features in Immunotherapy-Treated NSCLC Patients: A Preliminary Study
Abdou Khadir Dia, Leyla Ebrahimpour, Sevinj Yolchuyeva, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 348-348
Open Access | Times Cited: 2
Development of a machine learning-based risk model for postoperative complications of lung cancer surgery
Yuka Kadomatsu, Ryo Emoto, Yoko Kubo, et al.
Surgery Today (2024)
Closed Access | Times Cited: 2
Dear Medical Students - Artificial Intelligence is Not Taking Away a Radiologist's Job
Arun Murugesan, Sahil Patel, Vidya Sankar Viswanathan, et al.
Current Problems in Diagnostic Radiology (2022) Vol. 52, Iss. 1, pp. 1-5
Closed Access | Times Cited: 10
Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise
Kevin Mcdonnell
Journal of Clinical Medicine (2023) Vol. 12, Iss. 14, pp. 4830-4830
Open Access | Times Cited: 4
Diagnosis of interstitial lung diseases: from Averill A. Liebow to artificial intelligence
Eunhee S. Yi, Paul Wawryko, Jay H. Ryu
Journal of Pathology and Translational Medicine (2024) Vol. 58, Iss. 1, pp. 1-11
Open Access | Times Cited: 1
A comparison study of artificial intelligence performance against physicians in benign–malignant classification of pulmonary nodules
Weiguo Hu, J Zhang, Dingyi Zhou, et al.
ONCOLOGIE (2024) Vol. 26, Iss. 4, pp. 581-586
Open Access | Times Cited: 1
Application of Innovative 3D Pathological Tactic for Diagnosis of Organizing Pneumonia
YI HSIA, YU HSIN TSAI, Pin‐Kuei Fu, et al.
In Vivo (2024) Vol. 38, Iss. 4, pp. 1993-2000
Open Access | Times Cited: 1
Artificial Intelligence in Medicine: from Diagnosis to Treatment
Liudmyla Bashkirova, І. В. Кіт, Yury Havryshchuk, et al.
Futurity Medicine. (2024) Vol. 3, Iss. 3
Closed Access | Times Cited: 1
AI bias in lung cancer radiotherapy
Kai Ding, Shelby Forbes, Fang‐Fang Ma, et al.
(2024) Vol. 2, Iss. 6, pp. 302-312
Open Access | Times Cited: 1
Study on the Innovative Development of Digital Media Art in the Context of Artificial Intelligence
Chaomiao Chen
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 6
A Deep Learning–Based System Trained for Gastrointestinal Stromal Tumor Screening Can Identify Multiple Types of Soft Tissue Tumors
Meng Zhu, Guangxi Wang, Fei Su, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 7, pp. 899-912
Open Access | Times Cited: 2
The Long Run towards Personalized Therapy in Non-Small-Cell Lung Cancer: Current State and Future Directions
Carlo Genova
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 9, pp. 8212-8212
Open Access | Times Cited: 2
ERS International Congress 2022: highlights from the Thoracic Oncology Assembly
Maria Joana Catarata, Wouter H. van Geffen, Radhika Banka, et al.
ERJ Open Research (2023) Vol. 9, Iss. 4, pp. 00579-2022
Open Access | Times Cited: 2
How to identify rare diseases of the respiratory system
Helge Hebestreit, Florian Gahleitner, Simon Veldhoen, et al.
European Respiratory Society eBooks (2023)
Closed Access | Times Cited: 2
Deep Learning for Predicting Effect of Neoadjuvant Therapies in Non–Small Cell Lung Carcinomas With Histologic Images
Kazuhiro Terada, Akihiko Yoshizawa, Xiaoqing Liu, et al.
Modern Pathology (2023) Vol. 36, Iss. 11, pp. 100302-100302
Open Access | Times Cited: 2
Clinical severity classes in COVID-19 pneumonia have distinct immunological profiles, facilitating risk stratification by machine learning
Laura Wiffen, Leon D’Cruz, Thomas Brown, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 2

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