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:
Graph neural network approaches for single-cell data: a recent overview
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Panagiotis Vlamos, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9963-9987
Closed Access | Times Cited: 7
Konstantinos Lazaros, Dimitrios E. Koumadorakis, Panagiotis Vlamos, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 9963-9987
Closed Access | Times Cited: 7
Showing 7 citing articles:
XgCPred: Cell type classification using XGBoost-CNN integration and exploiting gene expression imaging in single-cell RNAseq data
Anas Abu-Doleh, Amjed Al Fahoum
Computers in Biology and Medicine (2024) Vol. 181, pp. 109066-109066
Closed Access | Times Cited: 4
Anas Abu-Doleh, Amjed Al Fahoum
Computers in Biology and Medicine (2024) Vol. 181, pp. 109066-109066
Closed Access | Times Cited: 4
Enhanced Integration of Single-Cell Multi-Omics Data Using Graph Attention Networks
Xingyu Liao, Yanyan Li, Shuangyi Li, et al.
ACS Synthetic Biology (2025)
Closed Access
Xingyu Liao, Yanyan Li, Shuangyi Li, et al.
ACS Synthetic Biology (2025)
Closed Access
Graph neural networks for single-cell omics data: a review of approaches and applications
Shiming Li, Heyang Hua, Shengquan Chen
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Shiming Li, Heyang Hua, Shengquan Chen
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Design of an Iterative Method for Integrating Multi-omic Data and Clinical Insights in Brain Disease Research
Aditi R. Durge, Deepti D. Shrimankar, Sony K. Ahuja
Lecture notes in computer science (2025), pp. 181-193
Closed Access
Aditi R. Durge, Deepti D. Shrimankar, Sony K. Ahuja
Lecture notes in computer science (2025), pp. 181-193
Closed Access
LASSO–MOGAT: a multi-omics graph attention framework for cancer classification
Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, et al.
Academia Biology (2024) Vol. 2, Iss. 3
Open Access | Times Cited: 3
Fadi Alharbi, Aleksandar Vakanski, Murtada K. Elbashir, et al.
Academia Biology (2024) Vol. 2, Iss. 3
Open Access | Times Cited: 3
Graph pooling in graph neural networks: methods and their applications in omics studies
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Yan Wang, Wenju Hou, Nan Sheng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Artificial intelligence and deep learning in single-cell omics data analysis: A case study
Zubina Anjum, Waniya Khalid, Gurupriya Takkar, et al.
Elsevier eBooks (2024), pp. 349-383
Closed Access
Zubina Anjum, Waniya Khalid, Gurupriya Takkar, et al.
Elsevier eBooks (2024), pp. 349-383
Closed Access
