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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-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images
Hongbiao Ma, Longlun Wang, Yinlin Chen, et al.
Saudi Journal of Gastroenterology (2022) Vol. 28, Iss. 5, pp. 332-340
Open Access | Times Cited: 10

Showing 10 citing articles:

Artificial intelligence in early screening for esophageal squamous cell carcinoma
Si-yan Yan, Xin-yu Fu, Yan Yang, et al.
Best Practice & Research Clinical Gastroenterology (2025), pp. 102004-102004
Open 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
Identification of runner fatigue stages based on inertial sensors and deep learning
Pengfei Chang, Cenyi Wang, Yiyan Chen, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 9
The Advent of Domain Adaptation into Artificial Intelligence for Gastrointestinal Endoscopy and Medical Imaging
Min Ji Kim, Sang Hoon Kim, Suk Min Kim, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3023-3023
Open Access | Times Cited: 4
A graph-optimized deep learning framework for recognition of Barrett’s esophagus and reflux esophagitis
Muzhou Hou, Jiaoju Wang, Taohua Liu, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 36, pp. 83747-83767
Closed Access | Times Cited: 1
Explainable AI based automated segmentation and multi-stage classification of gastroesophageal reflux using machine learning techniques
Rudrani Maity, V. M. Raja Sankari, U. Snekhalatha, et al.
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045058-045058
Open Access | Times Cited: 1
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Bowen Zha, Angshu Cai, Guiqi Wang
JMIR Medical Informatics (2024) Vol. 12, pp. e56361-e56361
Open Access | Times Cited: 1
The Saudi Gastroenterology Association guidelines for quality indicators in gastrointestinal endoscopic procedures
Fahad Alsohaibani, Hesham Aljohany, Abdul Hakim Almakadma, et al.
Saudi Journal of Gastroenterology (2023) Vol. 29, Iss. 3, pp. 148-157
Open Access | Times Cited: 2
Classifying Esophageal Cancer Using a Hybrid Quantum-Classical Neural Network
W. Abdalla
(2023)
Closed Access | Times Cited: 2
Esophageal cancer detection framework based on time series information from smear images
Chuanwang Zhang, Dongyao Jia, Ziqi Li, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122362-122362
Closed Access | Times Cited: 2
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