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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:

Integration of artificial intelligence and multi-omics in kidney diseases
Shu‐Feng Zhou, Xuhui Zhong, Lixin Duan
Fundamental Research (2022) Vol. 3, Iss. 1, pp. 126-148
Open Access | Times Cited: 13

Showing 13 citing articles:

AI-enabled organoids: Construction, analysis, and application
Long Bai, Yan Wu, Guangfeng Li, et al.
Bioactive Materials (2023) Vol. 31, pp. 525-548
Open Access | Times Cited: 61
Missing data in multi-omics integration: Recent advances through artificial intelligence
Javier E. Flores, Daniel Claborne, Zachary D. Weller, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 54
A machine learning and deep learning-based integrated multi-omics technique for leukemia prediction
Erum Yousef Abbasi, Zhongliang Deng, Qasim Ali, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25369-e25369
Open Access | Times Cited: 6
The Omics‐Driven Machine Learning Path to Cost‐Effective Precision Medicine in Chronic Kidney Disease
Marta B. Lopes, Roberta Coletti, Flore Duranton, et al.
PROTEOMICS (2025)
Open Access
Editorial: Community series in towards precision medicine for immune-mediated disorders: advances in using big data and artificial intelligence to understand heterogeneity in inflammatory responses, volume II
Shu‐Feng Zhou, Yasmina Laouar, Lam C. Tsoi
Frontiers in Immunology (2025) Vol. 16
Open Access
Artificial Intelligence and Machine Learning for Analysis of Multi-omics
Neeraj Agarwal, Nupur Nupur, Prabir Kumar Paul, et al.
(2024), pp. 339-354
Closed Access | Times Cited: 2
Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease
Claire Hill, Amy Jayne McKnight, Laura J. Smyth
Diabetic Medicine (2024)
Open Access | Times Cited: 1
Engineering the 3D structure of organoids
Steven F. Moss, Ezgi Bakırcı, Adam W. Feinberg
Stem Cell Reports (2024), pp. 102379-102379
Open Access | Times Cited: 1
Kidney Disease Classification Using Machine Learning Approach on DenseNet201 Model using Xray Images
Kanwarpartap Singh Gill, Vatsala Anand, Rupesh Gupta
(2023), pp. 1-4
Closed Access | Times Cited: 3
Detection of Kidney Disease in X-Ray Images Using Machine Learning on MobileNetV3 CNN Model
Kanwarpartap Singh Gill, Vatsala Anand, Rahul Chauhan, et al.
(2023), pp. 1-4
Closed Access | Times Cited: 3
A Comprehensive Review of Advanced Biomarkers for Chronic Kidney Disease in Older Adults: Current Insights and Future Directions
Utkarsh Pradeep, Anjalee Chiwhane, Sourya Acharya, et al.
Cureus (2024)
Open Access
Omics Studies in CKD: Diagnostic Opportunities and Therapeutic Potential
Merita Rroji, Goce Spasovski
PROTEOMICS (2024)
Closed Access
Kidney Disease X-Ray Image Classification Using a ResNet50V2 Model based Machine Learning Approach
Kanwarpartap Singh Gill, Vatsala Anand, Rahul Chauhan, et al.
(2023), pp. 1-5
Closed Access
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