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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:

A multimodal graph neural network framework for cancer molecular subtype classification
Bingjun Li, Sheida Nabavi
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 16
Multimodal data integration in early-stage breast cancer
Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, et al.
The Breast (2025), pp. 103892-103892
Open Access
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification
Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, et al.
IEEE Access (2025) Vol. 13, pp. 37724-37736
Open Access
A region-of-interest embedded graph neural architecture for gallbladder cancer detection
Saiful Islam, Md. Injamul Haque, Mushrat Jahan, et al.
Results in Engineering (2025), pp. 104624-104624
Open Access
Strategies to include prior knowledge in omics analysis with deep neural networks
Kisan Thapa, Meric Kinali, Shichao Pei, et al.
Patterns (2025) Vol. 6, Iss. 3, pp. 101203-101203
Open Access
Pan‐cancer analysis shapes the understanding of cancer biology and medicine
Xiaoping Cen, Yuanyuan Lan, Jiansheng Zou, et al.
Cancer Communications (2025)
Open Access
Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification
Chang Tan, Huey Fang Ong, Chern Hong Lim, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification
Abdul Joseph Fofanah, David Chen, Lian Wen, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124602-124602
Open Access | Times Cited: 3
Optimal gene therapy network: Enhancing cancer classification through advanced AI-driven gene expression analysis
Tulasi Raju Nethala, Bidush Kumar Sahoo, P. Srinivasulu
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 7, pp. 100449-100449
Open Access | Times Cited: 2
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: 2
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
Histopathology in focus: a review on explainable multi-modal approaches for breast cancer diagnosis
Faseela Abdullakutty, Younes Akbari, Somaya Al-Máadeed, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Transformer-based deep learning integrates multi-omic data with cancer pathways
Zhaoxiang Cai, Rebecca C. Poulos, Adel Aref, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Smart Biosensor for Breast Cancer Survival Prediction Based on Multi-View Multi-Way Graph Learning
Wenming Ma, Mingqi Li, Zihao Chu, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3289-3289
Open Access
A patient-centric knowledge graph approach to prioritize mutants for selective anti-cancer targeting
Marina Gorostiola González, Adriaan P. IJzerman, Gerard J. P. van Westen
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Integrating computational biology and multiomics data for precision medicine in personalized cancer treatment
Chandan Shivamallu, Chattu Bhargavi, S Bhavana, et al.
Elsevier eBooks (2024), pp. 249-277
Closed Access
DeepMoIC: multi-omics data integration via deep graph convolutional networks for cancer subtype classification
Junnan Wu, Zhaoliang Chen, Shunxin Xiao, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
Hamed Mohammadi, Waldemar Karwowski
Brain Sciences (2024) Vol. 15, Iss. 1, pp. 17-17
Open Access
scGEMOC, A Graph Embedded Contrastive Learning Single-cell Multiomics Clustering Model
Bingjun Li, Sheida Nabavi
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 18, pp. 2075-2080
Closed Access | Times Cited: 1
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