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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 for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review
Zainab Jan, Farah El Assadi, Alaa Abd‐Alrazaq, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e44248-e44248
Open Access | Times Cited: 15

Showing 15 citing articles:

Revolutionizing Prostate Cancer Therapy: Artificial intelligence – based Nanocarriers for Precision Diagnosis and Treatment
Moein Shirzad, Afsaneh Salahvarzi, Sobia Razzaq, et al.
Critical Reviews in Oncology/Hematology (2025), pp. 104653-104653
Closed Access | Times Cited: 3
Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions
Elarbi Badidi
Future Internet (2023) Vol. 15, Iss. 11, pp. 370-370
Open Access | Times Cited: 29
The Application of Artificial Intelligence to Cancer Research: A Comprehensive Guide
Amin Zadeh Shirazi, Morteza Tofighi, Alireza Gharavi, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 4
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
Artificial Intelligence in Pancreatic Image Analysis: A Review
W.J. Liu, Bairui Zhang, Tao Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 2
IANFIS: a machine learning–based optimized technique for the classification and segmentation of pancreatic cancer
Koteswaramma Dodda, G. Muneeswari
Research on Biomedical Engineering (2024) Vol. 40, Iss. 2, pp. 373-385
Closed Access | Times Cited: 1
Computer-aided Drug Discovery Approaches in the Identification of Anticancer Drugs from Natural Products: A Review
M. Gnana Ruba Priya, Jessica Manisha, L. Lazăr, et al.
Current Computer - Aided Drug Design (2024) Vol. 21, Iss. 1, pp. 1-14
Closed Access | Times Cited: 1
Nosocomial transmission of Aspergillus flavus in a neonatal intensive care unit: Long-term persistence in environment and interest of MALDI–ToF mass-spectrometry coupled with convolutional neural network for rapid clone recognition
Noshine Mohammad, A Huguenin, A. Lefèbvre, et al.
Medical Mycology (2023) Vol. 62, Iss. 1
Closed Access | Times Cited: 3
New Analogues of the Nicotinamide Phosphoribosyltransferase Inhibitor FK866 as Potential Anti-Pancreatic Cancer Agents
Irene Conforti, Andrea Benzi, Irene Caffa, et al.
Medicinal Chemistry (2024) Vol. 20, Iss. 7, pp. 694-708
Closed Access
O uso de inteligência artificial na interpretação de exames médicos
Tiago Braga, Lucas Mota Soares, Ana Carolina Gomes Ferreira, et al.
Brazilian Journal of Health Review (2024) Vol. 7, Iss. 3, pp. e70932-e70932
Open Access
Designing of Medical Diagnostic System based on Blockchain and Artificial Intelligence Technologies
Cosmin-George Nicolăescu, Florentina Magda Enescu, Nicu Bizon
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2024), pp. 1-7
Closed Access
Exploring the Use of Deep Learning Models in Predicting Genetic Mutations Associated with Non-Small Cell Lung Cancer: A Systematic Review (Preprint)
Abdel Rahman Alsaify, Laila Shafei, Sara Al Dali, et al.
(2024)
Closed Access
The Primary Healthcare Providers’ Attitudes towards Artificial Intelligence and Information Communication Technologies Implementation into Pancreatic Cancer Risk Prediction, Prevention and Early Diagnosis
Vasil Topalov, Rostislav Kostadinov, Dilyana Vicheva, et al.
(2023), pp. 90-94
Closed Access | Times Cited: 1
PanCanAID – Pancreas Cancer Artificial Intelligence Driven Diagnosis in CT Scan Imaging: A Protocol for a Multicentric Ambispective Diagnostic Study
Seyed Amir Ahmad Safavi‐Naini, Armin Behnamnia, Faezeh Khorasanizadeh, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open 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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