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.

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Showing 14 citing articles:

Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 19

Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers
Azadeh Tabari, Shin Mei Chan, Omar M. Omar, et al.
Cancers (2022) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 23

First clinical investigation to predict lymphovascular and/or perineural invasion in gastric cancer using 18F-FAPI-42 PET/CT parameters
Lilan Fu, Fei Xie, Penghui Sun, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access

18F-FDG PET/CT radiomics for prediction of lymphovascular invasion in patients with early stage non-small cell lung cancer
Jie Wang, Zhonghang Zheng, Yi Zhang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 7

Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors
Yan Yang, Huanhuan Wei, Fangfang Fu, et al.
Frontiers in Radiology (2023) Vol. 3
Open Access | Times Cited: 7

Integrating CT-based radiomic model with clinical features improves long-term prognostication in high-risk prostate cancer
Jerry Chi Fung Ching, Saikit Lam, Cody C. H. Lam, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6

Nuclear medicine radiomics in digestive system tumors: Concept, applications, challenges, and future perspectives
Wenpeng Huang, Zihao Tao, Muhsin H. Younis, et al.
View (2023) Vol. 4, Iss. 6
Open Access | Times Cited: 4

Role of radiomics in predicting lymph node metastasis in gastric cancer: a systematic review
Francesco Miccichè, Gianluca Rizzo, Calogero Casà, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 4

Radiomics in Oesogastric Cancer: Staging and Prediction of Preoperative Treatment Response: A Narrative Review and the Results of Personal Experience
Giovanni Maria Garbarino, Michela Polici, Damiano Caruso, et al.
Cancers (2024) Vol. 16, Iss. 15, pp. 2664-2664
Open Access | Times Cited: 1

Methodological evaluation of original articles on radiomics and machine learning for outcome prediction based on positron emission tomography (PET)
Julian M.M. Rogasch, Kuangyu Shi, David Kersting, et al.
Nuklearmedizin - NuclearMedicine (2023) Vol. 62, Iss. 06, pp. 361-369
Open Access | Times Cited: 2

Prediction of preoperative lymph-vascular space invasion and survival outcomes of cervical squamous cell carcinoma by utilizing 18F-FDG PET/CT imaging at early stage
Jiatong Li, Nan Cui, Yanmei Wang, et al.
Nuclear Medicine Communications (2024) Vol. 45, Iss. 12, pp. 1069-1081
Closed Access

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