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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:

Machine learning and deep learning methods that use omics data for metastasis prediction
Somayah Albaradei, Maha A. Thafar, Asim Alsaedi, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5008-5018
Open Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Artificial Intelligence in Point-of-Care Biosensing: Challenges and Opportunities
Connor D. Flynn, Dingran Chang
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1100-1100
Open Access | Times Cited: 19
Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing
Mohammed Yusuf Ansari, Vaisali Chandrasekar, Ajay Vikram Singh, et al.
IEEE Access (2022) Vol. 11, pp. 9890-9906
Open Access | Times Cited: 60
The Fight against Cancer by Microgravity: The Multicellular Spheroid as a Metastasis Model
Daniela Grimm, Herbert Schulz, Marcus Krüger, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 6, pp. 3073-3073
Open Access | Times Cited: 56
TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology
Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 9
Identification of ferroptosis-associated biomarkers for the potential diagnosis and treatment of postmenopausal osteoporosis
Yunxiang Hu, Jun Han, Shengqiang Ding, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 38
Artificial Intelligence: The Milestone in Modern Biomedical Research
Konstantina Athanasopoulou, Glykeria N. Daneva, Panagiotis G. Adamopoulos, et al.
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 727-744
Open Access | Times Cited: 37
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 29
Rise of Deep Learning Clinical Applications and Challenges in Omics Data: A Systematic Review
Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Ahmed M. Dinar, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 664-664
Open Access | Times Cited: 21
An Explainable AI Approach for Breast Cancer Metastasis Prediction Based on Clinicopathological Data
Ikram Maouche, Labib Sadek Terrissa, K. Benmohammed, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 12, pp. 3321-3329
Closed Access | Times Cited: 21
MRI-based pre-Radiomics and delta-Radiomics models accurately predict the post-treatment response of rectal adenocarcinoma to neoadjuvant chemoradiotherapy
Likun Wang, Xueliang Wu, Ruoxi Tian, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 17
Current progress in artificial intelligence-assisted medical image analysis for chronic kidney disease: A literature review
Dan Zhao, Wei Wang, Tian Tang, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3315-3326
Open Access | Times Cited: 17
A personalized probabilistic approach to ovarian cancer diagnostics
Dongjo Ban, Stephen N. Housley, Lilya V. Matyunina, et al.
Gynecologic Oncology (2024) Vol. 182, pp. 168-175
Open Access | Times Cited: 6
Deep learning for predicting the risk of immune checkpoint inhibitor-related pneumonitis in lung cancer
M. Cheng, Renying Lin, Na Bai, et al.
Clinical Radiology (2023) Vol. 78, Iss. 5, pp. e377-e385
Closed Access | Times Cited: 12
Natural variables separate the endemic areas of Clonorchis sinensis and Opisthorchis viverrini along a continuous, straight zone in Southeast Asia
Jinxin Zheng, Hui-Hui Zhu, Shang Xia, et al.
Infectious Diseases of Poverty (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Early detection of pancreatic cancer by comprehensive serum miRNA sequencing with automated machine learning
Munenori Kawai, Akihisa Fukuda, Ryo Otomo, et al.
British Journal of Cancer (2024) Vol. 131, Iss. 7, pp. 1158-1168
Open Access | Times Cited: 4
AI-powered FDG-PET radiomics: a door to better Alzheimer’s disease classification?
Yothin Rakvongthai, Supanuch Patipipittana
European Radiology (2025)
Closed Access
Serum Immune-Response Protein Biomarkers Based on Olink Technology for Diagnosis of Ischemic Stroke
Han Wang, Tian Zhao, Jingjing Zeng, et al.
Journal of Proteome Research (2025)
Closed Access
Development and validation of a new diagnostic prediction model for NAFLD based on machine learning algorithms in NHANES 2017-2020.3
Yazhi Wang, Peng Wang
HORMONES (2025)
Closed Access
Breast Cancer Prognosis Using Machine Learning and Artificial Intelligence: A Review of Predictive Models in Breast Cancer Metastasis
João Rocha Rocha-Gomes, Inês Fortuna
Smart innovation, systems and technologies (2025), pp. 103-113
Closed Access
Modified Hard Voting Classifier Implementation on MEFV Gene Variants Increases in Silico Tool Performance: A Novel Approach for Small Sample Size
Mustafa Tarık Alay, İbrahim Demir, Murat Ki̇ri̇şçi̇
Journal of Intelligent Systems Theory and Applications (2025) Vol. 8, Iss. 1, pp. 35-46
Open Access
Optimizing prediction of metastasis among colorectal cancer patients using machine learning technology
Raoof Nopour
BMC Gastroenterology (2025) Vol. 25, Iss. 1
Open Access
Machine learning in metastatic cancer research: Potentials, possibilities, and prospects
Olutomilayo Olayemi Petinrin, Faisal Saeed, Muhammad Toseef, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2454-2470
Open Access | Times Cited: 9
Artificial intelligence in skeletal metastasis imaging
Xiying Dong, Guilin Chen, Yuanpeng Zhu, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 157-164
Open Access | Times Cited: 9
Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches
Jin‐Myung Jung, Sunyong Yoo
Genes (2023) Vol. 14, Iss. 9, pp. 1820-1820
Open Access | Times Cited: 8
Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning
Bahrad A. Sokhansanj, Gail Rosen
Computers in Biology and Medicine (2022) Vol. 149, pp. 105969-105969
Open Access | Times Cited: 14
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