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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:

Radiomics predicts survival of patients with advanced non‑small cell lung cancer undergoing PD‑1 blockade using Nivolumab
Valerio Nardone, Paolo Tini, Pierpaolo Pastina, et al.
Oncology Letters (2019)
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Defining clinically useful biomarkers of immune checkpoint inhibitors in solid tumours
Ashley M. Holder, Aikaterini Dedeilia, Kailan Sierra-Davidson, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 7, pp. 498-512
Closed Access | Times Cited: 62
Artificial intelligence to codify lung CT in Covid-19 patients
Maria Paola Belfiore, Fabrizio Urraro, Roberta Grassi, et al.
La radiologia medica (2020) Vol. 125, Iss. 5, pp. 500-504
Open Access | Times Cited: 107
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: 60
Feature selection methods and predictive models in CT lung cancer radiomics
Gary Ge, Jie Zhang
Journal of Applied Clinical Medical Physics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 40
CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia
Fatemeh Homayounieh, Shadi Ebrahimian, Rosa Babaei, et al.
Radiology Cardiothoracic Imaging (2020) Vol. 2, Iss. 4, pp. e200322-e200322
Open Access | Times Cited: 54
Current status and quality of radiomic studies for predicting immunotherapy response and outcome in patients with non-small cell lung cancer: a systematic review and meta-analysis
Qiuying Chen, Lu Zhang, Xiaokai Mo, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 1, pp. 345-360
Closed Access | Times Cited: 53
Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples
Leonardo Ubaldi, Vito Valenti, R.F. Borgese, et al.
Physica Medica (2021) Vol. 90, pp. 13-22
Open Access | Times Cited: 46
Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review
Alfonso Reginelli, Valerio Nardone, Giuliana Giacobbe, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1796-1796
Open Access | Times Cited: 41
Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer
Laila C. Roisman, Waleed Kian, Alaa Anoze, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 19
Radiomics-Based Outcome Prediction for Pancreatic Cancer Following Stereotactic Body Radiotherapy
Elsa Parr, Qian Du, Chi Zhang, et al.
Cancers (2020) Vol. 12, Iss. 4, pp. 1051-1051
Open Access | Times Cited: 46
Association of a CT-Based Clinical and Radiomics Score of Non-Small Cell Lung Cancer (NSCLC) with Lymph Node Status and Overall Survival
Francesca Botta, Sara Raimondi, Lisa Rinaldi, et al.
Cancers (2020) Vol. 12, Iss. 6, pp. 1432-1432
Open Access | Times Cited: 46
Radiomic biomarkers of tumor immune biology and immunotherapy response
Jarey H. Wang, Kareem A. Wahid, Lisanne V. van Dijk, et al.
Clinical and Translational Radiation Oncology (2021) Vol. 28, pp. 97-115
Open Access | Times Cited: 40
Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications
Damiano Caruso, Michela Polici, Marta Zerunian, et al.
Cancers (2021) Vol. 13, Iss. 11, pp. 2681-2681
Open Access | Times Cited: 34
A CT-Based Radiomics Approach to Predict Nivolumab Response in Advanced Non-Small-Cell Lung Cancer
Chang Liu, Jing Gong, Hui Yu, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 33
Radiomics and “radi-…omics” in cancer immunotherapy: a guide for clinicians
Michele Porcu, Cinzia Solinas, Lorenzo Mannelli, et al.
Critical Reviews in Oncology/Hematology (2020) Vol. 154, pp. 103068-103068
Open Access | Times Cited: 33
Radiomics in the Setting of Neoadjuvant Radiotherapy: A New Approach for Tailored Treatment
Valerio Nardone, Luca Boldrini, Roberta Grassi, et al.
Cancers (2021) Vol. 13, Iss. 14, pp. 3590-3590
Open Access | Times Cited: 29
CT based radiomic approach on first line pembrolizumab in lung cancer
Marta Zerunian, Damiano Caruso, Alberto Zucchelli, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28
The Role of Radiomics in the Era of Immune Checkpoint Inhibitors: A New Protagonist in the Jungle of Response Criteria
Angelo Castello, Massimo Castellani, Luigia Florimonte, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 6, pp. 1740-1740
Open Access | Times Cited: 22
Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review
Laurens S. ter Maat, Isabella A.J. van Duin, Sjoerd G. Elias, et al.
European Journal of Cancer (2022) Vol. 175, pp. 60-76
Open Access | Times Cited: 19
An Efficient Model for Optimizing Hyperparameters in AlexNet for Precise Malignancy Detection in Lung and Colon Histopathology Images with CSIP-EHE
D. Mythrayee, Dinesh Kumar Anguraj, Mang Ma, et al.
Data & Metadata (2025) Vol. 4, pp. 184-184
Closed Access
Lung Cancer and Granuloma Identification Using a Deep Learning Model to Extract 3-Dimensional Radiomics Features in CT Imaging
Xiaofeng Lin, Jiao Han, Zhiyong Pang, et al.
Clinical Lung Cancer (2021) Vol. 22, Iss. 5, pp. e756-e766
Closed Access | Times Cited: 25
Hypoxia in Lung Cancer Management: A Translational Approach
Julien Ancel, Jeanne‐Marie Perotin, Maxime Dewolf, et al.
Cancers (2021) Vol. 13, Iss. 14, pp. 3421-3421
Open Access | Times Cited: 24
Ability of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery
Valerio Nardone, Alfonso Reginelli, Roberta Grassi, et al.
Cancers (2022) Vol. 14, Iss. 12, pp. 3004-3004
Open Access | Times Cited: 18
Role of radiomics in predicting immunotherapy response
Gargi Kothari
Journal of Medical Imaging and Radiation Oncology (2022) Vol. 66, Iss. 4, pp. 575-591
Open Access | Times Cited: 17
A combined model using pre-treatment CT radiomics and clinicopathological features of non-small cell lung cancer to predict major pathological responses after neoadjuvant chemoimmunotherapy
Fang Wang, Hong Yang, Wujie Chen, et al.
Current Problems in Cancer (2024) Vol. 50, pp. 101098-101098
Open Access | Times Cited: 3
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