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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 in Lung Cancer Imaging: Unfolding the Future
Michaela Cellina, Maurizio Cè, Giovanni Irmici, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2644-2644
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Digital Twins: The New Frontier for Personalized Medicine?
Michaela Cellina, Maurizio Cè, Marco Alì, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7940-7940
Open Access | Times Cited: 68
Artificial Intelligence in Lung Cancer Screening: The Future Is Now
Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4344-4344
Open Access | Times Cited: 56
Artificial Intelligence in Brain Tumor Imaging: A Step toward Personalized Medicine
Maurizio Cè, Giovanni Irmici, Chiara Foschini, et al.
Current Oncology (2023) Vol. 30, Iss. 3, pp. 2673-2701
Open Access | Times Cited: 49
Artificial Intelligence and Lung Cancer: Impact on Improving Patient Outcomes
Zainab Gandhi, Priyatham Gurram, Birendra Amgai, et al.
Cancers (2023) Vol. 15, Iss. 21, pp. 5236-5236
Open Access | Times Cited: 43
Artificial intelligence in advancing occupational health and safety: an encapsulation of developments
Immad A. Shah, SukhDev Mishra
Journal of Occupational Health (2024) Vol. 66, Iss. 1
Open Access | Times Cited: 26
Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis
Wu Quanyang, Yao Huang, Sicong Wang, et al.
Cancer Medicine (2024) Vol. 13, Iss. 7
Open Access | Times Cited: 18
Artificial Intelligence in Emergency Radiology: Where Are We Going?
Michaela Cellina, Maurizio Cè, Giovanni Irmici, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3223-3223
Open Access | Times Cited: 39
Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis
Nuruzzaman Faruqui, Mohammad Abu Yousuf, Faris Kateb, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21520-e21520
Open Access | Times Cited: 32
Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
Giovanni Irmici, Maurizio Cè, Elena Caloro, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 216-216
Open Access | Times Cited: 31
Artificial Intelligence in Coronary Artery Calcium Scoring Detection and Quantification
Khaled S. Abd‐Elrahman, Arthur Shiyovich, Daniel Huck, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 125-125
Open Access | Times Cited: 15
Revolutionizing Radiology With Artificial Intelligence
Abhiyan Bhandari
Cureus (2024)
Open Access | Times Cited: 9
Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network
Giulia Rubiu, Marco Bologna, Michaela Cellina, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7947-7947
Open Access | Times Cited: 22
Radiologists’ perceptions on AI integration: An in-depth survey study
Maurizio Cè, Simona Ibba, Michaela Cellina, et al.
European Journal of Radiology (2024) Vol. 177, pp. 111590-111590
Closed Access | Times Cited: 8
A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer
Seyed Masoud HaghighiKian, Ahmad Shirinzadeh-Dastgiri, Mohammad Vakili-Ojarood, et al.
Indian Journal of Surgical Oncology (2024) Vol. 16, Iss. 1, pp. 257-278
Closed Access | Times Cited: 7
Early user perspectives on using computer-aided detection software for interpreting chest X-ray images to enhance access and quality of care for persons with tuberculosis
Jacob Creswell, Luan Nguyen Quang Vo, Zhi Zhen Qin, et al.
BMC Global and Public Health (2023) Vol. 1, Iss. 1
Open Access | Times Cited: 12
Portable Dynamic Chest Radiography: Literature Review and Potential Bedside Applications
Maurizio Cè, Giancarlo Oliva, Francesca Lucrezia Rabaiotti, et al.
Medical Sciences (2024) Vol. 12, Iss. 1, pp. 10-10
Open Access | Times Cited: 4
Differentiation of Hamartomas and Malignant Lung Tumors in Single-Phased Dual-Energy Computed Tomography
Moritz T. Winkelmann, Sebastian Gassenmaier, Sven Walter, et al.
Tomography (2024) Vol. 10, Iss. 2, pp. 255-265
Open Access | Times Cited: 4
One Scan, Multiple Insights: A Review of AI-Driven Biomarker Imaging and Composite Measure Detection in Lung Cancer Screening
Sunil Verma, Leander Maerkisch, Alberto Paderno, et al.
Meta-Radiology (2025), pp. 100124-100124
Open Access
Inteligencia Artificial en la detección del cáncer de pulmón
Janina Monserrath Ramos Portero, Andrea Carolina Cevallos Teneda
LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades (2025) Vol. 6, Iss. 1
Closed Access
Multimodal Imaging of Osteosarcoma: From First Diagnosis to Radiomics
Maurizio Cè, Michaela Cellina, Thirapapha Ueanukul, et al.
Cancers (2025) Vol. 17, Iss. 4, pp. 599-599
Open Access
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
AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis
Esther Ugo Alum
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Artificial Intelligence in Radiopharmaceutical Development
J. Shanthalakshmi Revathy, J. Mangaiyarkkarasi
Advances in computational intelligence and robotics book series (2025), pp. 295-310
Closed Access
Usefulness of longitudinal nodule-matching algorithm in computer-aided diagnosis of new pulmonary metastases on cancer surveillance CT scans
Sung Hyun Yoon, Dong Yul Oh, Hyo Jin Kim, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 2, pp. 1493-1506
Open Access | Times Cited: 3
CT radiomics to differentiate neuroendocrine neoplasm from adenocarcinoma in patients with a peripheral solid pulmonary nodule: a multicenter study
Xiaoyu Liu, Hongjian Li, Shengping Wang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
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