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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:

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

Showing 22 citing articles:

Artificial intelligence and automation in endoscopy and surgery
François Chadebecq, Laurence Lovat, Danail Stoyanov
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 20, Iss. 3, pp. 171-182
Open Access | Times Cited: 65
Early gastric cancer detection and lesion segmentation based on deep learning and gastroscopic images
Kezhi Zhang, Haibao Wang, Yaru Cheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Deep learning for classification and localization of early gastric cancer in endoscopic images
Lingyu Ma, Xiufeng Su, Liyong Ma, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104200-104200
Closed Access | Times Cited: 26
Evaluation of an artificial intelligence-based system for real-time high-quality photodocumentation during esophagogastroduodenoscopy
Byeong Yun Ahn, JunWoo Lee, Jaehwan Seol, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
FastUGI-Net: Enhanced real-time endoscopic diagnosis with efficient multi-task learning
In Neng Chan, Pak Kin Wong, Tao Yan, et al.
Expert Systems with Applications (2025), pp. 127444-127444
Closed Access
Diagnosis of Gastrointestinal Diseases Using Modern CNN Techniques
Guduru Varalaxmi, Sahithi Reddy Baddam, Emmanuel Suhas Yalamarthi, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023), pp. 1-6
Closed Access | Times Cited: 7
Automated identification of gastric cancer in endoscopic images by a deep learning model
C. Jasphin, J. Merry Geisa
Automatika (2024) Vol. 65, Iss. 2, pp. 559-571
Open Access | Times Cited: 2
Accurate multiclassification and segmentation of gastric cancer based on a hybrid cascaded deep learning model with a vision transformer from endoscopic images
Ejaz Ul Haq, Yong Qin, Yuan Zhou, et al.
Information Sciences (2024) Vol. 670, pp. 120568-120568
Closed Access | Times Cited: 2
Exploring factors that influence the behavioural intention of medical students to use 3D gastroscopic model to learn how to operate gastroscope using UTAUT Model
Shuting Wei, Pu Ge, Jinzi Zhang, et al.
BMC Medical Education (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Role of artificial intelligence in cancer diagnostics and therapeutics
Rahul Singh, Gladson David Masih, Rupa Joshi, et al.
Elsevier eBooks (2024), pp. 83-97
Closed Access | Times Cited: 1
Correlation-aware active learning for surgery video segmentation
Fei Wu, Pablo Márquez-Neila, M.Y. Zheng, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 1999-2009
Open Access | Times Cited: 1
Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer
Charalampos Theocharopoulos, Spyridon Davakis, Dimitrios C. Ziogas, et al.
Cancers (2024) Vol. 16, Iss. 19, pp. 3285-3285
Open Access | Times Cited: 1
Detection and Characterization of Gastric Cancer Using Cascade Deep Learning Model in Endoscopic Images
Atsushi Teramoto, Tomoyuki Shibata, Hyuga Yamada, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1996-1996
Open Access | Times Cited: 7
Diagnosis to dissection: AI’s role in early detection and surgical intervention for gastric cancer
Tara M. Pattilachan, Maria Christodoulou, Sharona Ross
Journal of Robotic Surgery (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
A Multi-Scale Attention Framework for Automated Polyp Localization and Keyframe Extraction From Colonoscopy Videos
Vanshali Sharma, Pradipta Sasmal, M. K. Bhuyan, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 4, pp. 5677-5690
Closed Access | Times Cited: 3
Classification of Helicobacter Pylori infection based on deep convolutional neural network with visual attention and self-supervised learning for endoscopic images
Guo-Zhang Jian, Guo-Shiang Lin, Chuin-Mu Wang, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37731-37754
Closed Access | Times Cited: 2
Detection of Early Gastric Cancer and Lesion Segmentation Based on Deep Learning
Rahid Gul, Hania Akbar, Sadaqat Ali, et al.
Journal of Health and Rehabilitation Research (2024) Vol. 4, Iss. 2, pp. 944-948
Open Access
MLMSA: Multi-Level and Multi-Scale Attention for Lesion Detection in Endoscopy
Zhang Zhang, Xizhe Wang, Shuijiao Chen, et al.
(2023)
Closed Access | Times Cited: 1
Esophagogastroscopy for predicting endoscopic ultrasonography T-stage by utilizing deep learning methods in esophageal cancer
Tiemei Zhang, Zhen Chen, Zhuozhi Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 19, pp. 9286-9294
Open Access
Confluence of Deep Learning Using Watershed Segmentation GAN for Advancing Endoscopy Surgery Imaging
G. Megala, P. Swarnalatha, S. Prabu, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 345-368
Closed Access
Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images
Qianyi Yang, Wenbo Li, Zhenxing Huang, et al.
EJNMMI Physics (2024) Vol. 11, Iss. 1
Open Access
The use of Capsule Endoscopic Examination Videos in the Detection of Abnormalities in the Gastrointestinal Tract
Sandra Said, Sherin M. Youssef, Mazen Nabil Elagamy
(2022), pp. 1-7
Closed Access
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