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 16 citing articles:

The Role of AI in the Evaluation of Neuroendocrine Tumors: Current State of the Art
Felipe Lopez-Ramirez, Mohammad Yasrab, Florent Tixier, et al.
Seminars in Nuclear Medicine (2025)
Closed Access | Times Cited: 2

Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Wenjie Liang, Wuwei Tian, Yifan Wang, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 23

Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial Intelligence
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, et al.
Cancers (2023) Vol. 15, Iss. 2, pp. 351-351
Open Access | Times Cited: 13

Improvements and future perspective in diagnostic tools for neuroendocrine neoplasms
Sara Massironi, Marianna Franchina, Davide Ippolito, et al.
Expert Review of Endocrinology & Metabolism (2024) Vol. 19, Iss. 4, pp. 349-366
Closed Access | Times Cited: 5

GEP-NET radiomics: a systematic review and radiomics quality score assessment
Frank J. T. Staal, Else A. Aalbersberg, Daphne van der Velden, et al.
European Radiology (2022) Vol. 32, Iss. 10, pp. 7278-7294
Closed Access | Times Cited: 20

The Role of m6A Epigenetic Modification in the Treatment of Colorectal Cancer Immune Checkpoint Inhibitors
Huan Tong, Wei He, Alhaji Osman Smith, et al.
Frontiers in Immunology (2022) Vol. 12
Open Access | Times Cited: 17

Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier
Yingjian Yang, Wei Li, Yingwei Guo, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7826-7855
Open Access | Times Cited: 16

Radiomics Nomogram Improves the Prediction of Epilepsy in Patients With Gliomas
Jie Bai, Hongxi Yang, Ankang Gao, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14

Radiomics for the Prediction of Epilepsy in Patients With Frontal Glioma
Ankang Gao, Hongxi Yang, Yida Wang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 18

Artificial Intelligence and Machine Learning in the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms—A Scoping Review
Athanasios Pantelis, Panagiota A. Panagopoulou, Dimitris P. Lapatsanis
Diagnostics (2022) Vol. 12, Iss. 4, pp. 874-874
Open Access | Times Cited: 10

MRI-Based Machine Learning in Differentiation Between Benign and Malignant Breast Lesions
Yanjie Zhao, Rong Chen, Ting Zhang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 12

GEP-NETs radiomics in action: a systematical review of applications and quality assessment
Chenxi Wei, Taiyan Jiang, Kai Wang, et al.
Clinical and Translational Imaging (2024) Vol. 12, Iss. 3, pp. 287-326
Closed Access

Neuroendocrine tumors of the stomach and pancreas. Possibilities of application of radiomics. Problems and solutions.
Н. В. Нуднов, Elina S-A. Shakhvalieva, A. A. Borisov, et al.
Digital Diagnostics (2024)
Open Access

Prognostic Assessment of Gastropancreatic Neuroendocrine Neoplasm: Prospects and limits of Radiomics
Federica De Muzio, Fabio Pellegrino, Roberta Fusco, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2877-2877
Open Access | Times Cited: 1

Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models
Wenjie Liang, Pan Wang, Wuwei Tian, et al.
Research Square (Research Square) (2022)
Open Access

Advances in Neuroendocrine Tumor Imaging, Including PET and Artificial Intelligence (AI)
Dimitrios Fotopoulos, Kapil Shirodkar, Himansu Shekhar Mohanty
Springer eBooks (2022), pp. 73-79
Closed Access

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