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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:

Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging
Yusuke Horiuchi, Kazuharu Aoyama, Yoshitaka Tokai, et al.
Digestive Diseases and Sciences (2019) Vol. 65, Iss. 5, pp. 1355-1363
Closed Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

Past, Present, and Future
Sarah Enslin, Vivek Kaul
Gastrointestinal Endoscopy Clinics of North America (2024) Vol. 35, Iss. 2, pp. 265-278
Closed Access | Times Cited: 15
Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow‐band imaging
Hiroya Ueyama, Yusuke Kato, Yoichi Akazawa, et al.
Journal of Gastroenterology and Hepatology (2020) Vol. 36, Iss. 2, pp. 482-489
Open Access | Times Cited: 118
Artificial intelligence in gastric cancer: Application and future perspectives
Penghui Niu, Lulu Zhao, Hongliang Wu, et al.
World Journal of Gastroenterology (2020) Vol. 26, Iss. 36, pp. 5408-5419
Open Access | Times Cited: 98
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
Artificial Intelligence in Endoscopy
Yutaka Okagawa, Seiichiro Abe, Masayoshi Yamada, et al.
Digestive Diseases and Sciences (2021) Vol. 67, Iss. 5, pp. 1553-1572
Closed Access | Times Cited: 83
Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos)
Yusuke Horiuchi, Toshiaki Hirasawa, Naoki Ishizuka, et al.
Gastrointestinal Endoscopy (2020) Vol. 92, Iss. 4, pp. 856-865.e1
Closed Access | Times Cited: 74
Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
Julia Arribas, Giulio Antonelli, Leonardo Frazzoni, et al.
Gut (2020) Vol. 70, Iss. 8, pp. 1458-1468
Closed Access | Times Cited: 70
Kyoto international consensus report on anatomy, pathophysiology and clinical significance of the gastro-oesophageal junction
Kentaro Sugano, Stuart J. Spechler, Emad El‐Omar, et al.
Gut (2022), pp. gutjnl-327281
Open Access | Times Cited: 41
The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis
Yiheng Shi, Haohan Fan, Li Li, et al.
World Journal of Surgical Oncology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos)
Lianlian Wu, Ming Xu, Xiaoda Jiang, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 2, pp. 269-280.e6
Closed Access | Times Cited: 51
Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia
Prateek Sharma, Cesare Hassan
Gastroenterology (2021) Vol. 162, Iss. 4, pp. 1056-1066
Open Access | Times Cited: 45
The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study
Pei-Chin Chen, Yun-Ru Lu, Yi‐No Kang, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 5, pp. e27694-e27694
Open Access | Times Cited: 29
Videomics: bringing deep learning to diagnostic endoscopy
Alberto Paderno, F. Christopher Holsinger, Cesare Piazza
Current Opinion in Otolaryngology & Head & Neck Surgery (2021) Vol. 29, Iss. 2, pp. 143-148
Closed Access | Times Cited: 36
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
Diagnosis of Helicobacter pylori Infection and Recent Advances
Hang Yang, Bing Hu
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1305-1305
Open Access | Times Cited: 33
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
Gastric epithelial histology and precancerous conditions
Hang Yang, Wenjuan Yang, Bing Hu
World Journal of Gastrointestinal Oncology (2022) Vol. 14, Iss. 2, pp. 396-412
Open Access | Times Cited: 24
Deep learning for gastroscopic images: computer-aided techniques for clinicians
Ziyi Jin, Tianyuan Gan, Peng Wang, et al.
BioMedical Engineering OnLine (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 22
Medical image identification methods: A review
Juan Li, Pan Jiang, Qing An, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107777-107777
Closed Access | Times Cited: 14
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
Artificial intelligence and early cancer of the digestive tract: New challenges and new futures
Kun Yin, Hao Liang, Wen Guo, et al.
Shijie huaren xiaohua zazhi (2025) Vol. 33, Iss. 1, pp. 1-10
Closed Access
Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training
Hideaki Okamoto, Quan Huu, Takakiyo Nomura, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103075-103075
Closed Access
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