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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:

Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis
Alexandra Corina Faur, Daniela Lazăr, Laura Andreea Ghenciu
World Journal of Gastroenterology (2023) Vol. 29, Iss. 12, pp. 1811-1823
Open Access | Times Cited: 16

Showing 16 citing articles:

Deep Learning Applications in Pancreatic Cancer
Hardik J. Patel, Theodoros P. Zanos, D. Brock Hewitt
Cancers (2024) Vol. 16, Iss. 2, pp. 436-436
Open Access | Times Cited: 7
Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence in Analyzing CT and MRI Images
Cristian Anghel, Mugur Grasu, D. Anghel, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 438-438
Open Access | Times Cited: 5
An overview of imaging in pancreatic cancer
Naga Sai Rasagna Mareddy, Mohana Chakkera
Elsevier eBooks (2025), pp. 23-44
Closed Access
Systematic review and meta-analysis: diagnostic accuracy of exosomes in pancreatic cancer
Xinyi Xu, Chunyue Long, Meng Li, et al.
World Journal of Surgical Oncology (2025) Vol. 23, Iss. 1
Open Access
Radiomics in Early Detection of Bilio-Pancreatic Lesions: A Narrative Review
Calogero Casà, Daniel Portik, Ahmed Nadeem Abbasi, et al.
Best Practice & Research Clinical Gastroenterology (2025), pp. 101997-101997
Closed Access
Epidemiology of pancreatic cancer: New version, new vision
Wenhao Luo, Jun Wang, Hao Chen, et al.
Chinese Journal of Cancer Research (2023) Vol. 35, Iss. 5, pp. 438-450
Open Access | Times Cited: 10
Predicting early gastric cancer risk using machine learning: A population-based retrospective study
Ke Xing, Xinyu Cai, Bingxian Bian, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
Machine learning to predict completion of treatment for pancreatic cancer
Shamsher A. Pasha, Abdullah Khalid, Todd Levy, et al.
Journal of Surgical Oncology (2024)
Closed Access | Times Cited: 1
Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability Status and Prognosis
Giulia Pacella, Maria Chiara Brunese, Eleonora D’Imperio, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 23, pp. 7380-7380
Open Access | Times Cited: 3
Global research trends and hotspots between pancreatic cancer and diabetes from2004 to 2024: A bibliometric analysis
Yuxin Wang, Chenshan Xu, Yubo Xu, et al.
Research Square (Research Square) (2024)
Open Access
Radiomics in Pancreatic Cancer: Present and Future
Shuai Ren, Lina Song, Marcus J. Daniels, et al.
Cancer Screening and Prevention (2024) Vol. 3, Iss. 2, pp. 130-132
Open Access
Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region.
S I Panin, V. A. Suvorov, А. В. Зубков, et al.
Siberian Journal of Oncology (2024) Vol. 23, Iss. 3, pp. 124-132
Open Access
Risk Assessment and Radiomics Analysis in Magnetic Resonance Imaging of Pancreatic Intraductal Papillary Mucinous Neoplasms (IPMN)
Federica Flammia, Roberta Fusco, Sonia Triggiani, et al.
Cancer Control (2024) Vol. 31
Open Access
Enhancing Early Detection of Pancreatic Cancer: A Machine Learning Approach with Explainable AI Insights
Neeraj V Pattanashetti, R Kale Mayur, A. Prakash, et al.
(2024), pp. 1-6
Closed Access
PDAC: advances in tumour microenvironment, microbiome and AI
Minoti V. Apte
Nature Reviews Gastroenterology & Hepatology (2024)
Closed Access
To Compare the Stability of Different Clinical Model Frameworks in the Overall Survival Rate and Specific Survival Rate of Patients with Non-Metastatic Pancreatic Head Cancer, Pancreatic Body Cancer and Pancreatic Tail Cancer Based on Machine Learning
冠宇 吴
Advances in Clinical Medicine (2023) Vol. 13, Iss. 11, pp. 18150-18161
Closed Access
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