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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:

Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)
Xinqi He, Lianlian Wu, Zehua Dong, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 4, pp. 671-678.e4
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology
Zhe Wang, Yang Liu, Xing Niu
Seminars in Cancer Biology (2023) Vol. 93, pp. 83-96
Closed Access | Times Cited: 41
Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects
Changda Lei, Wenqiang Sun, Kun Wang, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence in Gastrointestinal Cancer Research: Image Learning Advances and Applications
Shengyuan Zhou, Yi Xie, Xujiao Feng, et al.
Cancer Letters (2025) Vol. 614, pp. 217555-217555
Closed Access | Times Cited: 1
Artificial intelligence applicated in gastric cancer: A bibliometric and visual analysis via CiteSpace
Guoyang Zhang, Jingjing Song, Zongfeng Feng, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 13
Application of artificial intelligence for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging
Yusuke Horiuchi, Toshiaki Hirasawa, Junko Fujisaki
Clinical Endoscopy (2024) Vol. 57, Iss. 1, pp. 11-17
Open Access | Times Cited: 5
Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach
Piyush Nathani, Prateek Sharma
Gastrointestinal Endoscopy Clinics of North America (2025) Vol. 35, Iss. 2, pp. 319-353
Closed Access
Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective study
Rui He, Pengyu Jie, Weijian Hou, et al.
EClinicalMedicine (2025) Vol. 81, pp. 103120-103120
Open Access
Diagnostic performance of AI-assisted endoscopy diagnosis of digestive system tumors: an umbrella review
Chun-Rong Huang, Yue Song, Jianfei Dong, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Physician perceptions on the current and future impact of artificial intelligence to the field of gastroenterology
Cadman L. Leggett, Sravanthi Parasa, Alessandro Repici, et al.
Gastrointestinal Endoscopy (2024) Vol. 99, Iss. 4, pp. 483-489.e2
Closed Access | Times Cited: 4
Early diagnosis of gastric cancer: Endoscopy and artificial intelligence
Nádia Gonçalves, Jorge Chaves, Inês Marques de Sá, et al.
Best Practice & Research Clinical Gastroenterology (2025), pp. 101979-101979
Closed Access
The artificial intelligence revolution in gastric cancer management: clinical applications
Runze Li, Jingfan Li, Yuman Wang, et al.
Cancer Cell International (2025) Vol. 25, Iss. 1
Open Access
Development and validation of a feature extraction-based logical anthropomorphic diagnostic system for early gastric cancer: A case-control study
Jiazhu Li, Yijie Zhu, Zehua Dong, et al.
EClinicalMedicine (2022) Vol. 46, pp. 101366-101366
Open Access | Times Cited: 17
A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video)
Hongliu Du, Zehua Dong, Lianlian Wu, et al.
Gastric Cancer (2022) Vol. 26, Iss. 2, pp. 275-285
Open Access | Times Cited: 16
Application of artificial intelligence in endoscopic gastrointestinal tumors
Yiping Xin, Qi Zhang, Xinyuan Liu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 10
Real-time detection of laryngopharyngeal cancer using an artificial intelligence-assisted system with multimodal data
Yun Li, Wenxin Gu, Huijun Yue, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 9
Enhanced multi-class pathology lesion detection in gastric neoplasms using deep learning-based approach and validation
Byeong Soo Kim, Bokyung Kim, Minwoo Cho, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Deep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy
Eyal Klang, Ali Soroush, Girish N. Nadkarni, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3613-3613
Open Access | Times Cited: 7
Construction of an original anoikis-related prognostic model closely related to immune infiltration in gastric cancer
Zhihong Zhao, Cun Li, Peng Ye, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 6
Distinguishing bronchoscopically observed anatomical positions of airway under by convolutional neural network
Chongxiang Chen, Felix J.F. Herth, Yingnan Zuo, et al.
Therapeutic Advances in Chronic Disease (2023) Vol. 14
Open Access | Times Cited: 6
Adenosine signaling: Optimal target for gastric cancer immunotherapy
Junqing Wang, Linyong Du, Xiangjian Chen
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 9
The Applications of Artificial Intelligence in Digestive System Neoplasms: A Review
Shuaitong Zhang, Wei Mu, Di Dong, et al.
Health Data Science (2022) Vol. 3
Open Access | Times Cited: 8
Management of high risk T1 gastric adenocarcinoma following endoscopic resection
Jéssica Chaves, Diogo Libânio, Pedro Pimentel‐Nunes
Best Practice & Research Clinical Gastroenterology (2024) Vol. 68, pp. 101887-101887
Closed Access | Times Cited: 1
Diagnosis of gastric cancer in role of endoscopic imaging techniques in artificial intelligence and machine learning applications: An overview
K. Pooja, K. Ravikumar
E3S Web of Conferences (2024) Vol. 491, pp. 03016-03016
Open Access | Times Cited: 1
Building and validating an artificial intelligence model to identify tracheobronchopathia osteochondroplastica by using bronchoscopic images
Chongxiang Chen, Fei Tang, Felix J.F. Herth, et al.
Therapeutic Advances in Respiratory Disease (2024) Vol. 18
Open Access | Times Cited: 1
Identification of upper GI diseases during screening gastroscopy using a deep convolutional neural network algorithm
Hang Yang, Yu Wu, Bo Yang, et al.
Gastrointestinal Endoscopy (2022) Vol. 96, Iss. 5, pp. 787-795.e6
Closed Access | Times Cited: 5
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