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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:

Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy
Stefano Trebeschi, Zuhir Bodalal, Thierry N. Boellaard, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Non‐small cell lung cancer in China
Peixin Chen, Yunhuan Liu, Yaokai Wen, et al.
Cancer Communications (2022) Vol. 42, Iss. 10, pp. 937-970
Open Access | Times Cited: 375
Artificial Intelligence in Pharmaceutical and Healthcare Research
Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 10-10
Open Access | Times Cited: 124
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 72
Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Laurent Dercle, Jeremy McGale, Shawn Sun, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 9, pp. e005292-e005292
Open Access | Times Cited: 61
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study
Yunlang She, Bingxi He, Fang Wang, et al.
EBioMedicine (2022) Vol. 86, pp. 104364-104364
Open Access | Times Cited: 51
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 | Times Cited: 1
Artificial intelligence for prediction of response to cancer immunotherapy
Yuhan Yang, Yunuo Zhao, Xici Liu, et al.
Seminars in Cancer Biology (2022) Vol. 87, pp. 137-147
Closed Access | Times Cited: 33
Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients
Benito Farina, Ana Delia Ramos Guerra, David Bermejo-Peláez, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 20
The global research of artificial intelligence in lung cancer: a 20-year bibliometric analysis
Ruikang Zhong, Tangke Gao, Jinghua Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 7
Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?
Roger Sun, Théophraste Henry, Adrien Laville, et al.
Journal for ImmunoTherapy of Cancer (2022) Vol. 10, Iss. 7, pp. e004848-e004848
Open Access | Times Cited: 25
Artificial Intelligence and Machine Learning in Predicting the Response to Immunotherapy in Non-small Cell Lung Carcinoma: A Systematic Review
Tanya Sinha, Aiman Khan, Manahil Awan, et al.
Cureus (2024)
Open Access | Times Cited: 6
The Added Effect of Artificial Intelligence on Physicians’ Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review
Dana Li, Lea Marie Pehrson, Carsten Ammitzbøl Lauridsen, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2206-2206
Open Access | Times Cited: 29
Artificial Intelligence (AI) for Lung Nodules, From the AJR Special Series on AI Applications
Jonathan A. Liu, Issac Y. Yang, Emily B. Tsai
American Journal of Roentgenology (2022) Vol. 219, Iss. 5, pp. 703-712
Closed Access | Times Cited: 21
Artificial Intelligence for Image Registration in Radiation Oncology
Jonas Teuwen, Zeno A.R. Gouw, Jan‐Jakob Sonke
Seminars in Radiation Oncology (2022) Vol. 32, Iss. 4, pp. 330-342
Closed Access | Times Cited: 17
A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking?
Marta Ligero, B. Gielen, Vı́ctor Navarro, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
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: 2
Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy
Stefano Trebeschi, Zuhir Bodalal, Nick van Dijk, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 15
Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules
Xiang Wang, Man Gao, Jicai Xie, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 10
AI/ML advances in non-small cell lung cancer biomarker discovery
Minal Çalışkan, Koichi Tazaki
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Prognostic and Predictive Factors in Advanced Urothelial Carcinoma Treated with Immune Checkpoint Inhibitors: A Review of the Current Evidence
Sara Elena Rebuzzi, Giuseppe Luigi Banna, Veronica Murianni, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5517-5517
Open Access | Times Cited: 13
Progress in Serial Imaging for Prognostic Stratification of Lung Cancer Patients Receiving Immunotherapy: A Systematic Review and Meta-Analysis
Hwa‐Yen Chiu, Tingwei Wang, Ming‐Sheng Hsu, et al.
Cancers (2024) Vol. 16, Iss. 3, pp. 615-615
Open Access | Times Cited: 1
Towards a Survival Risk Prediction Model for Metastatic NSCLC Patients on Durvalumab Using Whole-Lung CT Radiomics
Kedar A. Patwardhan, Harish RaviPrakash, Nikos Nikolaou, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Magnetic Resonance Spectroscopy for Cervical Cancer: Review and Potential Prognostic Applications
Zohaib Iqbal, Kevin Albuquerque, Kimberly L. Chan
Cancers (2024) Vol. 16, Iss. 11, pp. 2141-2141
Open Access | Times Cited: 1
Integrated noninvasive diagnostics for prediction of survival in immunotherapy
Melda Yeghaian, Zuhir Bodalal, Teresa M. Tareco Bucho, et al.
Immuno-Oncology Technology (2024) Vol. 24, pp. 100723-100723
Open Access | Times Cited: 1
Prediction of Immune Checkpoint Inhibitors Treatment Response of Non-small Cell Lung Cancer Patients from Serial Computed Tomography Scans Based on Global Self-Attention Mechanism
Yuemin Wu, Runwei Guan, Xiaowen Liang, et al.
(2024)
Open Access | Times Cited: 1
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