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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:

Development and Validation of a Machine-Learning Model to Predict Early Recurrence of Intrahepatic Cholangiocarcinoma
Laura Alaimo, Henrique A. Lima, Zorays Moazzam, et al.
Annals of Surgical Oncology (2023) Vol. 30, Iss. 9, pp. 5406-5415
Closed Access | Times Cited: 21

Showing 21 citing articles:

Application of AI on cholangiocarcinoma
Jianhao Huang, Xuesong Bai, Yan-Yu Qiu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 4
Machine Learning Models Including Preoperative and Postoperative Albumin-Bilirubin Score and Short-term Outcomes among Patients with Hepatocellular carcinoma
Yutaka Endo, Diamantis I. Tsilimigras, Muhammad Musaab Munir, et al.
HPB (2024) Vol. 26, Iss. 11, pp. 1369-1378
Closed Access | Times Cited: 4
Recurrence Patterns and Prediction of Survival After Recurrence for Gallbladder Cancer
Giovanni Catalano, Laura Alaimo, Odysseas P. Chatzipanagiotou, et al.
Journal of Gastrointestinal Surgery (2025), pp. 101997-101997
Closed Access
Predicting the Complexity of Minimally Invasive Liver Resection for Hepatocellular Carcinoma Using Machine Learning
Giovanni Catalano, Laura Alaimo, Odysseas P. Chatzipanagiotou, et al.
HPB (2025)
Closed Access
Upfront surgery for intrahepatic cholangiocarcinoma: Prediction of futility using artificial intelligence
Abdullah Altaf, Yutaka Endo, Alfredo Guglielmi, et al.
Surgery (2024)
Closed Access | Times Cited: 2
Development and Validation of an Early Recurrence Predictive Model for Intrahepatic Cholangiocarcinoma Based on a Systematic Review and Meta-Analysis of 17 Cohorts
Siqi Yang, Yu-Shan Shi, Rui-Qi Zou, et al.
Current Problems in Surgery (2024) Vol. 61, Iss. 12, pp. 101639-101639
Closed Access | Times Cited: 2
Application of artificial intelligence to hepatobiliary cancer clinical outcomes research
Yutaka Endo, Laura Alaimo, Giovanni Catalano, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 2, pp. 59-67
Open Access | Times Cited: 1
What is the role of artificial intelligence in general surgery?
Seung Min Baik, Ryung‐Ah Lee
The Ewha Medical Journal (2024) Vol. 47, Iss. 2
Open Access | Times Cited: 1
Artificial intelligence in predicting recurrence after first-line treatment of liver cancer: a systematic review and meta-analysis
Linyong Wu, Qingfeng Lai, Songhua Li, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
ASO Author Reflections: Use of Machine Learning to Predict Early Recurrence After Resection of Intrahepatic Cholangiocarcinoma
Laura Alaimo, Timothy M. Pawlik
Annals of Surgical Oncology (2023) Vol. 30, Iss. 9, pp. 5416-5417
Closed Access | Times Cited: 2
Factors associated with prognosis and staging of intrahepatic cholangiocarcinoma
Robert C. Chick, Samantha M. Ruff, Timothy M. Pawlik
Journal of Cancer Metastasis and Treatment (2024)
Open Access
Development of an Artificial Intelligence Based Model to Predict Early Recurrence of Neuroendocrine Liver Metastasis Following Resection
Abdullah Altaf, Muhammad Musaab Munir, Yutaka Endo, et al.
Journal of Gastrointestinal Surgery (2024) Vol. 28, Iss. 11, pp. 1828-1837
Closed Access
The Role of Artificial Intelligence in the Sphere of Healthcare
O. V. Yurchuk
Medicne pravo (2024), Iss. 2(34), pp. 57-63
Open Access
Machine learning prediction of early recurrence after surgery for gallbladder cancer
Giovanni Catalano, Laura Alaimo, Odysseas P. Chatzipanagiotou, et al.
British journal of surgery (2024) Vol. 111, Iss. 11
Closed Access
The Prognostic Value of Preoperative Serum Markers and Risk Classification in Patients with Hepatocellular Carcinoma
You‐Jian Xu, Wenfeng Lu, Lei Liang, et al.
Annals of Surgical Oncology (2024) Vol. 31, Iss. 7, pp. 4468-4469
Closed Access
Machine learning to predict the early recurrence of intrahepatic cholangiocarcinoma: A systematic review and meta‑analysis
Chao Yang, Jianhui Xu, Shuai Wang, et al.
Oncology Letters (2024) Vol. 28, Iss. 2
Open Access
Can we talk about “futile surgery” for the upfront treatment of the perihilar cholangiocarcinoma?
Maria Conticchio, David Fuks, Stylianos Tzedakis
HepatoBiliary Surgery and Nutrition (2024) Vol. 13, Iss. 4, pp. 672-674
Open Access
Tumor Apparent Diffusion Coefficient is Associated with Early Recurrence of Intrahepatic Cholangiocarcinoma
Ruofan Sheng, Beixuan Zheng, Donglong He, et al.
Academic Radiology (2024)
Closed Access
Development and validation of a machine-learning model to predict lymph node metastasis of intrahepatic cholangiocarcinoma: A retrospective cohort study
Shizheng Mi, Guoteng Qiu, Zhihong Zhang, et al.
BioScience Trends (2024) Vol. 18, Iss. 6, pp. 535-544
Open Access
Prediction model of intradialytic hypertension in hemodialysis patients based on machine learning
Hongming Zhou, Qi Guo, Kang Wang, et al.
Research Square (Research Square) (2024)
Closed Access
ASO Author Reflections: Disparities in NCCN Guideline-Compliant Care for Patients with Early-Stage Pancreatic Adenocarcinoma at Minority-Serving Versus Non-minority-Serving Hospitals
Henrique A. Lima, Zorays Moazzam, Timothy M. Pawlik
Annals of Surgical Oncology (2023) Vol. 30, Iss. 7, pp. 4373-4374
Closed Access | Times Cited: 1
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