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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 in gastric cancer: a systematic review
Peng Jin, Xiaoyan Ji, Wenzhe Kang, et al.
Journal of Cancer Research and Clinical Oncology (2020) Vol. 146, Iss. 9, pp. 2339-2350
Closed Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 349
A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis
Yogesh Kumar, Surbhi Gupta, Ruchi Singla, et al.
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 2043-2070
Open Access | Times Cited: 154
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Computers in Biology and Medicine (2023) Vol. 165, pp. 107356-107356
Closed Access | Times Cited: 66
Recent Advances in the Diagnosis, Staging, Treatment, and Prognosis of Advanced Gastric Cancer: A Literature Review
Zhida Chen, Pengfei Zhang, Hongqing Xi, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 83
GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer
Weiming Hu, Chen Li, Xiaoyan Li, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105207-105207
Open Access | Times Cited: 66
Computer especially AI-assisted drug virtual screening and design in traditional Chinese medicine
Yumeng Lin, You Zhang, Dongyang Wang, et al.
Phytomedicine (2022) Vol. 107, pp. 154481-154481
Closed Access | Times Cited: 52
Towards a data collection methodology for Responsible Artificial Intelligence in health: A prospective and qualitative study in pregnancy
Andreea M. Oprescu, G. Miró Amarante, Lutgardo García‐Díaz, et al.
Information Fusion (2022) Vol. 83-84, pp. 53-78
Open Access | Times Cited: 40
Artificial intelligence and its clinical application in Anesthesiology: a systematic review
Sara Lopes, Gonçalo Rocha, Luís Guimarães‐Pereira
Journal of Clinical Monitoring and Computing (2023) Vol. 38, Iss. 2, pp. 247-259
Open Access | Times Cited: 28
A Global Perspective on Gastric Cancer Screening: Which Concepts Are Feasible, and When?
Władysław Januszewicz, Maryla H. Turkot, Peter Malfertheiner, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 664-664
Open Access | Times Cited: 27
Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry
Heewon Chung, Yousun Ko, In‐Seob Lee, et al.
Journal of Cachexia Sarcopenia and Muscle (2023) Vol. 14, Iss. 2, pp. 847-859
Open Access | Times Cited: 24
Frontiers of Robotic Gastroscopy: A Comprehensive Review of Robotic Gastroscopes and Technologies
Wojciech Marlicz, Xuyang Ren, Alexander Robertson, et al.
Cancers (2020) Vol. 12, Iss. 10, pp. 2775-2775
Open Access | Times Cited: 53
Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews
Antonio Martínez-Millana, Aida Saez-Saez, Roberto Tornero-Costa, et al.
International Journal of Medical Informatics (2022) Vol. 166, pp. 104855-104855
Open Access | Times Cited: 36
Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient’s Stratification
Octav Ginghină, Ariana Hudiță, Marius Zamfir, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 33
An Investigational Approach for the Prediction of Gastric Cancer Using Artificial Intelligence Techniques: A Systematic Review
Priya Bhardwaj, Gaurav Bhandari, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4379-4400
Closed Access | Times Cited: 31
Artificial Intelligence Model for a Distinction between Early-Stage Gastric Cancer Invasive Depth T1a and T1b
Tsung‐Hsing Chen, Chang‐Fu Kuo, Chieh Lee, et al.
Journal of Cancer (2024) Vol. 15, Iss. 10, pp. 3085-3094
Open Access | Times Cited: 6
Artificial Intelligence in the Diagnosis of Upper Gastrointestinal Diseases
Pierfrancesco Visaggi, Nicola de Bortoli, Brigida Barberio, et al.
Journal of Clinical Gastroenterology (2021) Vol. 56, Iss. 1, pp. 23-35
Open Access | Times Cited: 35
Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis
Kailin Jiang, Xiaotao Jiang, Jinglin Pan, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 34
Identification of gastric cancer with convolutional neural networks: a systematic review
Yuxue Zhao, Bo Hu, Ying Wang, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 8, pp. 11717-11736
Open Access | Times Cited: 26
Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review
Valentina Bianchi, Mauro Giambusso, Alessandra De Iacob, et al.
Updates in Surgery (2024) Vol. 76, Iss. 3, pp. 783-792
Open Access | Times Cited: 5
Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective
Akanksha Gupta, Sarita Bajaj, Priyanshu Nema, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109918-109918
Closed Access
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
Exploring the Potential of Machine Learning in Gastric Cancer: Prognostic Biomarkers, Subtyping, and Stratification
Haniyeh Rafiepoor, Mohammad Mehdi Banoei, Alireza Ghorbankhanloo, et al.
Research Square (Research Square) (2025)
Closed Access
Current status and future perspective of artificial intelligence applications in endoscopic diagnosis and management of gastric cancer
Toshiaki Hirasawa, Yohei Ikenoyama, Mitsuaki Ishioka, et al.
Digestive Endoscopy (2020) Vol. 33, Iss. 2, pp. 263-272
Open Access | Times Cited: 32
Application of Artificial Intelligence in Early Gastric Cancer Diagnosis
Zili Xiao, Danian Ji, Feng Li, et al.
Digestion (2021) Vol. 103, Iss. 1, pp. 69-75
Open Access | Times Cited: 30
Performance of an artificial intelligence‐based diagnostic support tool for early gastric cancers: Retrospective study
Mitsuaki Ishioka, Hiroyuki Osawa, Toshiaki Hirasawa, et al.
Digestive Endoscopy (2022) Vol. 35, Iss. 4, pp. 483-491
Closed Access | Times Cited: 20
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