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 in pancreatic cancer
Bowen Huang, Haoran Huang, Shuting Zhang, et al.
Theranostics (2022) Vol. 12, Iss. 16, pp. 6931-6954
Open Access | Times Cited: 68

Showing 51-75 of 68 citing articles:

The Smart Directional Analysis of Time Series for Early Detection in Pancreatitis classification
Ankita Agarwal, Mohit Kumar Sharma, N.R Solomon Jebaraj
(2024), pp. 1-6
Closed Access

Network dynamics and therapeutic aspects of mRNA and protein markers with the recurrence sites of pancreatic cancer
Animesh Acharjee, Daniella Okyere, Dipanwita Nath, et al.
Heliyon (2024) Vol. 10, Iss. 10, pp. e31437-e31437
Open Access

Application of artificial intelligence and machine learning in pancreatic cancer immunotherapy
Nadia Ahmed, Rebecca P. Gorrie, Teymour Meguid, et al.
Elsevier eBooks (2024), pp. 143-158
Closed Access

Advancements and Challenges in Artificial Intelligence-Driven Diagnosis and Management of Pancreatic Cancer
Veeral M. Oza, Nitish Mittal, Ajith Antony, et al.
AI in Precision Oncology (2024) Vol. 1, Iss. 4, pp. 207-215
Closed Access

Pancreatic Cancer Classification Using Multimodal Imaging
Margarita N. Favorskaya, Lakhmi C. Jain, Nishchhal
Intelligent systems reference library (2024), pp. 13-34
Closed Access

Analyzing the Role of Time Series Analysis in Early Detection of Pancreatic Cancer
R. Kavitha, Yashvardhan Singh, M. V. Madhusudhan, et al.
Lecture notes in electrical engineering (2024), pp. 582-587
Closed Access

Deep learning segmentation architectures for automatic detection of pancreatic ductal adenocarcinoma in EUS-guided fine-needle biopsy samples based on whole-slide imaging
Ștefan Udriștoiu, Nicoleta Podină, Bogdan Silviu Ungureanu, et al.
Endoscopic Ultrasound (2024) Vol. 13, Iss. 6, pp. 335-344
Closed Access

Imaging Surveillance of High Risk-Patients for Early Detection of Pancreatic Cancer
Mostafa Alnoury, Haider Mehdi, Atif Zaheer
Seminars in Roentgenology (2024) Vol. 60, Iss. 1, pp. 44-60
Closed Access

Information maximization-based clustering of histopathology images using deep learning
Rumman Mahfujul Islam, Naoaki Ono, Kenoki Ohuchida, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 12, pp. e0000391-e0000391
Open Access

Machine Intelligence in Pancreatic Cancer
Nelson S. Yee, Fenglong Ma, Ilias Georgakopoulos-Soares
Springer eBooks (2023), pp. 1-29
Closed Access

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