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:

A systematic review on application of deep learning in digestive system image processing
Huangming Zhuang, Jixiang Zhang, Fei Liao
The Visual Computer (2021) Vol. 39, Iss. 6, pp. 2207-2222
Open Access | Times Cited: 13

Showing 13 citing articles:

Smart nanomedicines powered by artificial intelligence: a breakthrough in lung cancer diagnosis and treatment
Moloudosadat Alavinejad, Moein Shirzad, Mohammad Javad Javid-Naderi, et al.
Medical Oncology (2025) Vol. 42, Iss. 5
Closed Access

AFR: An image-aided diagnostic approach for ulcerative colitis
Kun Zhang, Qianru Yu, Yansheng Liu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107542-107542
Open Access

An automatic gastric polyp detection technique using deep learning
Dania Mushtaq, Tahir Mustafa Madni, Uzair Iqbal Janjua, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 3, pp. 866-880
Closed Access | Times Cited: 10

Human-in-the-Loop Machine Learning for the Treatment of Pancreatic Cancer
Eduardo Mosqueira-Rey, Alberto Pérez-Sánchez, Elena Hernández-Pereira, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-9
Closed Access | Times Cited: 8

Addressing the data bottleneck in medical deep learning models using a human-in-the-loop machine learning approach
Eduardo Mosqueira-Rey, Elena Hernández-Pereira, José Bobes-Bascarán, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 5, pp. 2597-2616
Open Access | Times Cited: 7

Unpaired low-dose CT denoising via an improved cycle-consistent adversarial network with attention ensemble
Zhixian Yin, Kewen Xia, Sijie Wang, et al.
The Visual Computer (2022) Vol. 39, Iss. 10, pp. 4423-4444
Closed Access | Times Cited: 12

Necessity of Local Modification for Deep Learning Algorithms to Predict Diabetic Retinopathy
Ching‐Yao Tsai, Chueh-Tan Chen, Guan-An Chen, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1204-1204
Open Access | Times Cited: 9

Semantic segmentation of remote sensing image based on bilateral branch network
Zhongyu Li, Huajun Wang, Yang Liu
The Visual Computer (2023) Vol. 40, Iss. 5, pp. 3069-3090
Closed Access | Times Cited: 5

Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box
Jan Král, Michal Hradis, Marek Buzga, et al.
Biomedical Papers (2024)
Open Access | Times Cited: 1

A Review of Application of Deep Learning in Endoscopic Image Processing
Zihan Nie, Muhao Xu, Zhiyong Wang, et al.
Journal of Imaging (2024) Vol. 10, Iss. 11, pp. 275-275
Open Access | Times Cited: 1

Physical flexibility detection under complex backgrounds using ED-Former
Zhao Liu, Xu Lu
The Visual Computer (2023)
Closed Access | Times Cited: 1

Deep Learning in the Diagnosis and Treatment of Liver Cancer: Review and Pro-spects
冰洁 李
Advances in Clinical Medicine (2023) Vol. 13, Iss. 09, pp. 14103-14112
Closed Access

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