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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:

Network-based multi-task learning models for biomarker selection and cancer outcome prediction
Zhibo Wang, Zhezhi He, Milan Shah, et al.
Bioinformatics (2019) Vol. 36, Iss. 6, pp. 1814-1822
Open Access | Times Cited: 22

Showing 22 citing articles:

Precision cancer classification using liquid biopsy and advanced machine learning techniques
Amr Eledkawy, Taher Hamza, Sara El-Metwally
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning
Chenxi Sun, Shenda Hong, Moxian Song, et al.
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 44
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models
Lei Wang, Yaqin Tan, Xiaoyu Yang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 26
Network-based drug sensitivity prediction
Khandakar Tanvir Ahmed, Sunho Park, Qibing Jiang, et al.
BMC Medical Genomics (2020) Vol. 13, Iss. S11
Open Access | Times Cited: 37
Using hidden Markov model to predict recurrence of breast cancer based on sequential patterns in gene expression profiles
Mohammadreza Momenzadeh, Mohammadreza Sehhati, Hossein Rabbani
Journal of Biomedical Informatics (2020) Vol. 111, pp. 103570-103570
Open Access | Times Cited: 33
Translation of Epigenetics in Cell-Free DNA Liquid Biopsy Technology and Precision Oncology
Wan Ying Tan, Snigdha Nagabhyrava, Olivia Ang-Olson, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 7, pp. 6533-6565
Open Access | Times Cited: 4
Simultaneous Modeling of Disease Screening and Severity Prediction: A Multi-Task and Sparse Regularization Approach
Kazuharu Harada, Shuichi Kawano, Masataka Taguri
(2025)
Open Access
Artificial Intelligence for Ovarian Cancer Detection with Medical Images: A Review of the Last Decade (2013–2023)
Amir Reza Naderi Yaghouti, Ahmad Shalbaf, Roohallah Alizadehsani, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
Towards precision oncology: a multi-level cancer classification system integrating liquid biopsy and machine learning.
Amr Eledkawy, Taher Hamza, Sara El-Metwally
PubMed (2025) Vol. 18, Iss. 1, pp. 29-29
Closed Access
Learning with joint cross-document information via multi-task learning for named entity recognition
Dongsheng Wang, Hongjie Fan, Junfei Liu
Information Sciences (2021) Vol. 579, pp. 454-467
Closed Access | Times Cited: 24
omicsGAT: Graph Attention Network for Cancer Subtype Analyses
Sudipto Baul, Khandakar Tanvir Ahmed, Joseph Filipek, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 18, pp. 10220-10220
Open Access | Times Cited: 9
A 65-nm RRAM Compute-in-Memory Macro for Genome Processing
Fan Zhang, Amitesh Sridharan, Wangxin He, et al.
IEEE Journal of Solid-State Circuits (2024) Vol. 59, Iss. 7, pp. 2093-2104
Closed Access | Times Cited: 1
Pan-Cancer Metastasis Prediction Based on Graph Deep Learning Method
Yining Xu, Xinran Cui, Yadong Wang
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 10
Predicting COVID-19 Disease Progression and Patient Outcomes based on Temporal Deep Learning
Chenxi Sun, Shenda Hong, Moxian Song, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 7
CancerEMC: frontline non-invasive cancer screening from circulating protein biomarkers and mutations in cell-free DNA
Saifur Rahaman, Xiangtao Li, Jun Yu, et al.
Bioinformatics (2021) Vol. 37, Iss. 19, pp. 3319-3327
Open Access | Times Cited: 6
A Regularized Multi-Task Learning Approach for Cell Type Detection in Single-Cell RNA Sequencing Data
Piu Upadhyay, Sumanta Ray
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
Deep Large-Scale Multitask Learning Network for Gene Expression Inference
Kamran Ghasedi Dizaji, Wei Chen, Heng Huang
Journal of Computational Biology (2021) Vol. 28, Iss. 5, pp. 485-500
Open Access | Times Cited: 5
Deep Large-Scale Multi-task Learning Network for Gene Expression Inference
Kamran Ghasedi Dizaji, Wei Chen, Heng Huang
Lecture notes in computer science (2020), pp. 19-36
Closed Access | Times Cited: 3
Predicting COVID-19 Disease Progression and Patient Outcomes based on Temporal Deep Learning
Chenxi Sun, Shenda Hong, Moxian Song, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 2
Predicting COVID-19 Disease Progression and Patient Outcomes based on Temporal Deep Learning
Chenxi Sun, Shenda Hong, Moxian Song, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 1
Predicting COVID-19 Disease Progression and Patient Outcomes based on Temporal Deep Learning
Chenxi Sun, Shenda Hong, Moxian Song, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 1
Latent disease similarities and therapeutic repurposing possibilities uncovered by multi-modal generative topic modeling of human diseases
Satoshi Kozawa, Hirona Yokoyama, Kyoji Urayama, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Closed Access | Times Cited: 1
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