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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 benchmark study of deep learning-based multi-omics data fusion methods for cancer
Dongjin Leng, Linyi Zheng, Yuqi Wen, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Artificial intelligence assists precision medicine in cancer treatment
Jinzhuang Liao, M Kellis, Yu Gan, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 96
The Rise of Gastrointestinal Cancers as a Global Phenomenon: Unhealthy Behavior or Progress?
Sílvia Rodrigues Jardim, Lucila Marieta Perrotta de Souza, Heitor Siffert Pereira de Souza
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 4, pp. 3640-3640
Open Access | Times Cited: 60
Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 20
Challenges and best practices in omics benchmarking
Thomas G. Brooks, Nicholas F. Lahens, Antonijo Mrčela, et al.
Nature Reviews Genetics (2024) Vol. 25, Iss. 5, pp. 326-339
Closed Access | Times Cited: 15
Feature graphs for interpretable unsupervised tree ensembles: centrality, interaction, and application in disease subtyping
Christel Sirocchi, Martin Urschler, Bastian Pfeifer
BioData Mining (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data
Jing Zhao, Bowen Zhao, Xiaotong Song, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 24
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology
Debabrata Acharya, Anirban Mukhopadhyay
Briefings in Functional Genomics (2024) Vol. 23, Iss. 5, pp. 549-560
Closed Access | Times Cited: 13
A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 12
Molecular similarity: Theory, applications, and perspectives
Kenneth López‐Pérez, Juan F. Avellaneda-Tamayo, Lexin Chen, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100077-100077
Open Access | Times Cited: 8
Deep Learning Techniques with Genomic Data in Cancer Prognosis: A Comprehensive Review of the 2021–2023 Literature
Minhyeok Lee
Biology (2023) Vol. 12, Iss. 7, pp. 893-893
Open Access | Times Cited: 21
Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures
Mingchao Shang, Cheng Liang, Jiawei Luo, et al.
Information Sciences (2023) Vol. 640, pp. 119038-119038
Closed Access | Times Cited: 19
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
SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data
Nour El Kazwini, Guido Sanguinetti
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Benchmarking feature selection and feature extraction methods to improve the performances of machine-learning algorithms for patient classification using metabolomics biomedical data
Justine Labory, Evariste Njomgue-Fotso, Silvia Bottini
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1274-1287
Open Access | Times Cited: 6
Artificial intelligence‐driven change redefining radiology through interdisciplinary innovation
Runqiu Huang, Xiaolin Meng, Xiaoxuan Zhang, et al.
Deleted Journal (2025)
Open Access
Enhancing transparency of omics data analysis with the Evolutionary Multi-Test Tree and Relative Expression
Marcin Czajkowski, Krzysztof Jurczuk, Marek Krȩtowski
Expert Systems with Applications (2025), pp. 127131-127131
Closed Access
A novel integrative multimodal classifier to enhance the diagnosis of Parkinson’s disease
Xiaoyan Zhou, Luca Parisi, Wentao Huang, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Explainable Artificial Intelligence (XAI) in glaucoma assessment: Advancing the frontiers of machine learning algorithms
Sonia Farhana Nimmy, Omar Khadeer Hussain, Ripon K. Chakrabortty, et al.
Knowledge-Based Systems (2025), pp. 113333-113333
Closed Access
Tutorial: integrative computational analysis of bulk RNA-sequencing data to characterize tumor immunity using RIMA
Lin Yang, Jin Wang, Jennifer Altreuter, et al.
Nature Protocols (2023) Vol. 18, Iss. 8, pp. 2404-2414
Closed Access | Times Cited: 15
Comprehensive characterization of tumor microenvironment in colorectal cancer via molecular analysis
Xiangkun Wu, Hong Yan, Mingxing Qiu, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 14
Secure blockchain assisted Internet of Medical Things architecture for data fusion enabled cancer workflow
Abdullah Lakhan, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, et al.
Internet of Things (2023) Vol. 24, pp. 100928-100928
Closed Access | Times Cited: 14
MOCSS: Multi-omics data clustering and cancer subtyping via shared and specific representation learning
Yuxin Chen, Yuqi Wen, Chenyang Xie, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107378-107378
Open Access | Times Cited: 13
Predicting Preterm Birth Using Proteomics
Ivana Marić, David K. Stevenson, Nima Aghaeepour, et al.
Clinics in Perinatology (2024) Vol. 51, Iss. 2, pp. 391-409
Open Access | Times Cited: 4
ASTRO: Automated Spatial Whole-Transcriptome RNA-Expression Workflow
Dingyao Zhang, Zhiyuan Chu, Yan Huo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
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