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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:

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

Showing 1-25 of 53 citing articles:

Therapeutic Implications of Tumor Microenvironment in Lung Cancer: Focus on Immune Checkpoint Blockade
Carlo Genova, Chiara Dellepiane, Paolo Carrega, et al.
Frontiers in Immunology (2022) Vol. 12
Open Access | Times Cited: 161
Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
Arsela Prelaj, Vanja Mišković, Michele Zanitti, et al.
Annals of Oncology (2023) Vol. 35, Iss. 1, pp. 29-65
Open Access | Times Cited: 100
Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative
Gaia Spadarella, Arnaldo Stanzione, Tugba Akinci D’Antonoli, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1884-1894
Open Access | Times Cited: 81
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
[18F]FDG-PET/CT Radiomics and Artificial Intelligence in Lung Cancer: Technical Aspects and Potential Clinical Applications
Reyhaneh Manafi‐Farid, Emran Askari, Isaac Shiri, et al.
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 6, pp. 759-780
Open Access | Times Cited: 54
Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
Qiang Wang, Jianhua Xu, Anrong Wang, et al.
La radiologia medica (2023) Vol. 128, Iss. 2, pp. 136-148
Open Access | Times Cited: 24
Predictive value of 18F-FDG PET/CT radiomics for EGFR mutation status in non-small cell lung cancer: a systematic review and meta-analysis
Ning Ma, Weihua Yang, Qiannan Wang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 10
Prognostic and Predictive Biomarkers in the Era of Immunotherapy for Lung Cancer
L. Pabst, Sébastien Lopes, Basil Bertrand, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 8, pp. 7577-7577
Open Access | Times Cited: 20
Current and Future Treatment Options in the Management of Stage III NSCLC
Yuchen Li, Rosalyn A. Juergens, Christian Finley, et al.
Journal of Thoracic Oncology (2023) Vol. 18, Iss. 11, pp. 1478-1491
Open Access | Times Cited: 20
An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation
Jingyu Zhong, Junjie Lu, Guangcheng Zhang, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals
Burak Koçak, Elif Bulut, Osman Nuri Bayrak, et al.
European Journal of Radiology (2023) Vol. 163, pp. 110830-110830
Open Access | Times Cited: 17
Noninvasive radiomic biomarkers for predicting pseudoprogression and hyperprogression in patients with non-small cell lung cancer treated with immune checkpoint inhibition
Yikun Li, Peiliang Wang, Junhao Xu, et al.
OncoImmunology (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Could the underlying biological basis of prognostic radiomics and deep learning signatures be explored in patients with lung cancer? A systematic review
Lu-Jie Qian, Ting Wu, Shuaihang Kong, et al.
European Journal of Radiology (2024) Vol. 171, pp. 111314-111314
Open Access | Times Cited: 6
Incidence rate of occult lymph node metastasis in clinical T1−2N0M0 small cell lung cancer patients and radiomic prediction based on contrast-enhanced CT imaging: a multicenter study
Xu Jiang, Chao Luo, Xin Peng, et al.
Respiratory Research (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Application of Radiomics in the Efficacy Evaluation of Transarterial Chemoembolization for Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
Yingxuan Wang, Min� Li, Zhe Zhang, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 273-285
Closed Access | Times Cited: 16
The gap before real clinical application of imaging-based machine-learning and radiomic models for chemoradiation outcome prediction in esophageal cancer: a systematic review and meta-analysis
Zhi Yang, Jie Gong, Jie Li, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 8, pp. 2451-2466
Open Access | Times Cited: 15
New developments in the imaging of lung cancer
Ádám Domonkos Tárnoki, Dávid László Tárnoki, Marta Dąbrowska, et al.
Breathe (2024) Vol. 20, Iss. 1, pp. 230176-230176
Open Access | Times Cited: 5
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
Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer
Doohyun Park, Daejoong Oh, MyungHoon Lee, et al.
European Radiology (2022) Vol. 32, Iss. 12, pp. 8716-8725
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
What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?
Litao Zhao, Zhenyu Liu, Wanfang Xie, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 11
Letter to the editor: radiomics signature for dynamic monitoring of tumor-inflamed microenvironment and immunotherapy response prediction
Yuhao Dong, Shuixing Zhang
Journal for ImmunoTherapy of Cancer (2025) Vol. 13, Iss. 2, pp. e011778-e011778
Open Access
The impact of Inter-observation variation on radiomic features of pulmonary nodules
Wenchao Zhu, Fangyi Xu, Kaihua Lou, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence
Nari Kim, Eun Sung Lee, Sang Eun Won, et al.
Korean Journal of Radiology (2022) Vol. 23, Iss. 11, pp. 1089-1089
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
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