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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 Integrative Analysis of Biomedical Big Data
Bilal Mirza, Wei Wang, Jie Wang, et al.
Genes (2019) Vol. 10, Iss. 2, pp. 87-87
Open Access | Times Cited: 306

Showing 1-25 of 306 citing articles:

Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 527
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 438
Integration strategies of multi-omics data for machine learning analysis
Milan Picard, Marie‐Pier Scott‐Boyer, Antoine Bodein, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3735-3746
Open Access | Times Cited: 378
Big Data and Artificial Intelligence Modeling for Drug Discovery
Hao Zhu
The Annual Review of Pharmacology and Toxicology (2019) Vol. 60, Iss. 1, pp. 573-589
Open Access | Times Cited: 362
State of the Field in Multi-Omics Research: From Computational Needs to Data Mining and Sharing
Michał Krassowski, Vivek Das, S. Sahu, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 275
A roadmap for multi-omics data integration using deep learning
Mingon Kang, Euiseong Ko, Tesfaye B. Mersha
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 206
Multi-omics integration in biomedical research – A metabolomics-centric review
Maria A. Wörheide, Jan Krumsiek, Gabi Kastenmüller, et al.
Analytica Chimica Acta (2020) Vol. 1141, pp. 144-162
Open Access | Times Cited: 205
DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy
Hui Liu, Wenhao Zhang, Bo Zou, et al.
Nucleic Acids Research (2019)
Open Access | Times Cited: 192
Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction
Yunbi Xu, Xingping Zhang, Huihui Li, et al.
Molecular Plant (2022) Vol. 15, Iss. 11, pp. 1664-1695
Open Access | Times Cited: 159
Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
Xiujing He, Xiaowei Liu, Fengli Zuo, et al.
Seminars in Cancer Biology (2022) Vol. 88, pp. 187-200
Open Access | Times Cited: 157
Multi-omics data integration considerations and study design for biological systems and disease
Stefan Graw, Kevin Chappell, Charity L. Washam, et al.
Molecular Omics (2020) Vol. 17, Iss. 2, pp. 170-185
Open Access | Times Cited: 156
Artificial intelligence aids in development of nanomedicines for cancer management
Ping Tan, Xiaoting Chen, Hu Zhang, et al.
Seminars in Cancer Biology (2023) Vol. 89, pp. 61-75
Closed Access | Times Cited: 154
Machine learning meets omics: applications and perspectives
Rufeng Li, Lixin Li, Yungang Xu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 121
Data Integration Challenges for Machine Learning in Precision Medicine
Mireya Martínez-García, Enrique Hernández-Lemus
Frontiers in Medicine (2022) Vol. 8
Open Access | Times Cited: 85
DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence
Niyaz Ahmad Wani, Ravinder Kumar, Jatin Bedi
Computer Methods and Programs in Biomedicine (2023) Vol. 243, pp. 107879-107879
Closed Access | Times Cited: 81
Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer
Babak Arjmand, Shayesteh Kokabi Hamidpour, Akram Tayanloo-Beik, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 79
Application of photoplethysmography signals for healthcare systems: An in-depth review
Hui Wen Loh, Shuting Xu, Oliver Faust, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106677-106677
Open Access | Times Cited: 73
Web-based multi-omics integration using the Analyst software suite
Jessica Ewald, Guangyan Zhou, Yao Lü, et al.
Nature Protocols (2024) Vol. 19, Iss. 5, pp. 1467-1497
Closed Access | Times Cited: 68
Missing data in multi-omics integration: Recent advances through artificial intelligence
Javier E. Flores, Daniel Claborne, Zachary D. Weller, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 65
Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson’s disease: A systematic review
Luis Sigcha, Luigi Borzì, Federica Amato, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120541-120541
Open Access | Times Cited: 56
Advancing Computational Toxicology by Interpretable Machine Learning
Xuelian Jia, Tong Wang, Hao Zhu
Environmental Science & Technology (2023) Vol. 57, Iss. 46, pp. 17690-17706
Open Access | Times Cited: 54
Advances in AI and machine learning for predictive medicine
Alok Sharma, Artem Lysenko, Shangru Jia, et al.
Journal of Human Genetics (2024) Vol. 69, Iss. 10, pp. 487-497
Open Access | Times Cited: 44
A Review of Machine Learning Algorithms for Biomedical Applications
V A Binson, Sania Thomas, M. Subramoniam, et al.
Annals of Biomedical Engineering (2024) Vol. 52, Iss. 5, pp. 1159-1183
Closed Access | Times Cited: 29
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: 25
A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
Arezou Naghib, Farhad Soleimanian Gharehchopogh, Azadeh Zamanifar
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 4
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