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:

Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics
Yalin Zhang, Huiling Liu, Cheng Chang, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300170-e0300170
Open Access | Times Cited: 8

Showing 8 citing articles:

Impact of [18F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role
Alireza Safarian, Seyed Ali Mirshahvalad, Hadi Nasrollahi, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 5

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

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: 5

PET radiomics for histologic subtype classification of non-small cell lung cancer: a systematic review and meta-analysis
Jucheng Zhang, Xiaohui Zhang, Yan Zhong, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access

Artificial Intelligence Assisted 18F-FDG PET Radiomics in Classifying Histological Subtypes of Lung Cancer: Systematic Review and Meta-analysis
Pooja Dwivedi, Sagar Barage, Ashish Kumar Jha, et al.
Nuclear Medicine and Molecular Imaging (2025)
Closed Access

radMLBench: A dataset collection for benchmarking in radiomics
Aydın Demircioğlu
Computers in Biology and Medicine (2024) Vol. 182, pp. 109140-109140
Open Access | Times Cited: 2

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT
Minmini Selvam, Abjasree Sadanandan, Anupama Chandrasekharan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

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