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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 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: 30

Showing 1-25 of 30 citing articles:

The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
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
Retrospective Analysis Comparing Lung-RADS v2022 and British Thoracic Society Guidelines for Differentiating Lung Metastases from Primary Lung Cancer
L. Stana, Ovidiu Alexandru Mederle, Claudiu Avram, et al.
Biomedicines (2025) Vol. 13, Iss. 1, pp. 130-130
Open Access
Patients’ attitudes toward artificial intelligence (AI) in cancer care: A scoping review protocol
Daniel Hilbers, Navid Nekain, Alan Bates, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0317276-e0317276
Open Access
Lung cancer screening in India: Preparing for the future using smart tools & biomarkers to identify highest risk individuals
Nithya Ramnath, Prasanth Ganesan, Prasanth Penumadu, et al.
The Indian Journal of Medical Research (2025) Vol. 160, pp. 561-569
Open Access
Machine learning-based exosome profiling of multi-receptor SERS sensors for differentiating adenocarcinoma in situ from early-stage invasive adenocarcinoma
Dechan Lu, Bohan Zhang, Zhikun Shangguan, et al.
Colloids and Surfaces B Biointerfaces (2024) Vol. 236, pp. 113824-113824
Closed Access | Times Cited: 5
Machine Learning and Texture Analysis of [18F]FDG PET/CT Images for the Prediction of Distant Metastases in Non-Small-Cell Lung Cancer Patients
Armin Hakkak Moghadam Torbati, Sara Pellegrino, Rosa Fonti, et al.
Biomedicines (2024) Vol. 12, Iss. 3, pp. 472-472
Open Access | Times Cited: 3
Deep Learning Features and Metabolic Tumor Volume Based on PET/CT to Construct Risk Stratification in Non-small Cell Lung Cancer
Linjun Ju, Wenbo Li, Rui Zuo, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4661-4675
Closed Access | Times Cited: 3
A Systematic Review of Artificial Intelligence Applications in the Management of Lung Disorders
Akbar Hussain, Stanley Marlowe, Muhammad Shaiq Ali, et al.
Cureus (2024)
Open Access | Times Cited: 2
The risks of artificial intelligence: A narrative review and ethical reflection from an Oral Medicine group
Qingmei Joy Feng, Molly Harte, Barbara Carey, et al.
Oral Diseases (2024)
Open Access | Times Cited: 2
Unravelling the diagnostic pathology and molecular biomarkers in lung cancer
Andriani Charpidou, Georgia Hardavella, Efimia Boutsikou, et al.
Breathe (2024) Vol. 20, Iss. 2, pp. 230192-230192
Open Access | Times Cited: 1
Applications of CT-based radiomics for the prediction of immune checkpoint markers and immunotherapeutic outcomes in non-small cell lung cancer
Jie Zheng, Shuang Xu, Guoyu Wang, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1
PET radiomics in lung cancer: advances and translational challenges
Yongbai Zhang, Wenpeng Huang, Hao Jiao, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning
Mohd Munazzer Ansari, Shailendra Kumar, Umair Tariq, et al.
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Enhanced Lung Nodule Segmentation using Dung Beetle Optimization based LNS-DualMAGNet Model
K. Sathyamoorthy, S Ravikumar
International Research Journal of Multidisciplinary Technovation (2024), pp. 65-81
Open Access
An Artificial Intelligence (AI)-Integrated Approach to Enhance Early Detection and Personalized Treatment Strategies in Lung Cancer Among Smokers: A Literature Review
Deep Chapla, Harshal Chorya, Lyluma Ishfaq, et al.
Cureus (2024)
Open Access
New paradigms to break barriers in early cancer detection for improved prognosis and treatment outcomes
Irfan Ahmad, Saade Abdalkareem Jasim, Madan Kumar Sharma, et al.
The Journal of Gene Medicine (2024) Vol. 26, Iss. 8
Closed Access
Incorporating adipose tissue into a CT-based deep learning nomogram to differentiate granulomas from lung adenocarcinomas
Qing-chun Jia, Ye Niu, Qifan Xuan, et al.
iScience (2024) Vol. 27, Iss. 10, pp. 110733-110733
Open Access
Integrating AI and Human Expertise: Exploring the Role of Radiomics in Multidisciplinary Tumor Boards
Suhana Fatima Shahid, Tooba Ali, Agha Muhammad Hammad Khan, et al.
Applied Radiation Oncology (2024) Vol. 13, Iss. 2, pp. 5-14
Closed Access
The Promising Role of Artificial Intelligence in Navigating Lung Cancer Prognosis
H Qureshi, Yahya Abdul Rehman Shah -, Sara Muddassir Qureshi -, et al.
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 4
Open Access
Exploring the Use of Deep Learning Models in Predicting Genetic Mutations Associated with Non-Small Cell Lung Cancer: A Systematic Review (Preprint)
Abdel Rahman Alsaify, Laila Shafei, Sara Al Dali, et al.
(2024)
Closed Access
Harnessing artificial intelligence for breakthroughs in lung cancer management: are we ready for the future?
Luca Bertolaccini, Juliana Guarize, Cristina Diotti, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal data
Nina de Lacy, Wai Yin Lam, Michael J. Ramshaw
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Machine Learning-Assisted Identification of Potential Cancer Inhibitors: Multifunctional Biomineralized CaCO3-Polyethyleneimine Nanoparticle Carriers and Their Application in Lung Cancer Therapy
Yan Liu, Fang Yang, Haiyun Hou
Journal of Molecular Structure (2024), pp. 140450-140450
Closed Access
Traditional and advanced AI methods used in the area of neuro-oncology
Soumyaranjan Panda, Suman Sourav Biswal, Sarit Samyak Rath, et al.
Elsevier eBooks (2024), pp. 277-300
Closed Access
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