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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:

Current status and future trends of clinical diagnoses via image-based deep learning
Jie Xu, Kanmin Xue, Kang Zhang
Theranostics (2019) Vol. 9, Iss. 25, pp. 7556-7565
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer
Rui Cao, Fan Yang, Si-Cong Ma, et al.
Theranostics (2020) Vol. 10, Iss. 24, pp. 11080-11091
Open Access | Times Cited: 170
Trends in Using IoT with Machine Learning in Health Prediction System
Amani Aldahiri, Bashair Ali Alrashed, Walayat Hussain
Forecasting (2021) Vol. 3, Iss. 1, pp. 181-206
Open Access | Times Cited: 132
Capsules for biomedical image segmentation
Rodney LaLonde, Ziyue Xu, Ismail Irmakci, et al.
Medical Image Analysis (2020) Vol. 68, pp. 101889-101889
Open Access | Times Cited: 88
Fully end-to-end deep-learning-based diagnosis of pancreatic tumors
Ke Si, Ying Xue, Xiazhen Yu, et al.
Theranostics (2020) Vol. 11, Iss. 4, pp. 1982-1990
Open Access | Times Cited: 88
Evolution of Machine Learning in Tuberculosis Diagnosis: A Review of Deep Learning-Based Medical Applications
Manisha Singh, Gurubasavaraj V. Pujar, Sethu Arun Kumar, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2634-2634
Open Access | Times Cited: 54
Deep learning applications for disease diagnosis
Deepak Kumar Sharma, Mayukh Chatterjee, Gurmehak Kaur, et al.
Elsevier eBooks (2022), pp. 31-51
Closed Access | Times Cited: 44
Oculomics: Current Concepts and Evidence
Zhuoting Zhu, Yueye Wang, Ziyi Qi, et al.
Progress in Retinal and Eye Research (2025), pp. 101350-101350
Closed Access | Times Cited: 1
Identification of a Tumor Microenvironment-relevant Gene set-based Prognostic Signature and Related Therapy Targets in Gastric Cancer
Wangyu Cai, Zi-Nan Dong, Xiao-Teng Fu, et al.
Theranostics (2020) Vol. 10, Iss. 19, pp. 8633-8647
Open Access | Times Cited: 65
Tailoring Therapy for Children With Neuroblastoma on the Basis of Risk Group Classification: Past, Present, and Future
Wayne H. Liang, Sara M. Federico, Wendy B. London, et al.
JCO Clinical Cancer Informatics (2020), Iss. 4, pp. 895-905
Open Access | Times Cited: 59
Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Michael Krygier, Tyler LaBonte, Carianne Martinez, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 46
Development and validation of MRI‐based deep learning models for prediction of microsatellite instability in rectal cancer
Wei Zhang, Hongkun Yin, Zixing Huang, et al.
Cancer Medicine (2021) Vol. 10, Iss. 12, pp. 4164-4173
Open Access | Times Cited: 45
Detection of COVID19 from X-ray images using multiscale Deep Convolutional Neural Network
Neha Muralidharan, Shaurya Gupta, Manas Ranjan Prusty, et al.
Applied Soft Computing (2022) Vol. 119, pp. 108610-108610
Open Access | Times Cited: 35
EDNC: Ensemble Deep Neural Network for COVID-19 Recognition
Lin Yang, Shuihua Wang‎, Yudong Zhang
Tomography (2022) Vol. 8, Iss. 2, pp. 869-890
Open Access | Times Cited: 28
Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial
Arun James Thirunavukarasu, Kabilan Elangovan, Laura Gutiérrez, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e49949-e49949
Open Access | Times Cited: 17
Review of medical image processing using quantum-enabled algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 7
Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD
Yannick Marcon, Tom Bishop, Demetris Avraam, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 3, pp. e1008880-e1008880
Open Access | Times Cited: 35
Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology
Marta Brandão, Francisco Mendes, Miguel Martins, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 4, pp. 1061-1061
Open Access | Times Cited: 5
Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography
Charles W. Scales, John Y. H. Bai, David Murakami, et al.
Optometry and Vision Science (2025)
Closed Access
A Comparative Analysis of Deep Learning Models for Prediction of Microsatellite Instability in Colorectal Cancer
Ziynet Pamuk, Hüseyin Erikçi
Sakarya University Journal of Computer and Information Sciences (2025) Vol. 8, Iss. 1, pp. 136-151
Open Access
Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning
Naoko Kato, Hiroki Masumoto, Mao Tanabe, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 4, pp. 844-844
Open Access | Times Cited: 32
Artificial Intelligence in Predicting Systemic Parameters and Diseases From Ophthalmic Imaging
Bjorn Kaijun Betzler, Tyler Hyungtaek Rim, Charumathi Sabanayagam, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 20
Predicting colorectal cancer microsatellite instability with a self-attention-enabled convolutional neural network
Xiaona Chang, Jianchao Wang, Guanjun Zhang, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 2, pp. 100914-100914
Open Access | Times Cited: 12
AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook
Yu Huang, Carol Y. Cheung, Da‐Wei Li, et al.
Eye (2023) Vol. 38, Iss. 3, pp. 464-472
Closed Access | Times Cited: 12
Artificial intelligence to predict T4 stage of pancreatic ductal adenocarcinoma using CT imaging
Qi Miao, Xuechun Wang, Jingjing Cui, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108125-108125
Closed Access | Times Cited: 4
The Future of Geriatrics
John E. Morley
The journal of nutrition health & aging (2019) Vol. 24, Iss. 1, pp. 1-2
Open Access | Times Cited: 35
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