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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 for integrating data in biology and medicine: Principles, practice, and opportunities
Marinka Žitnik, Francis Nguyen, Bo Wang, et al.
Information Fusion (2018) Vol. 50, pp. 71-91
Open Access | Times Cited: 289

Showing 1-25 of 289 citing articles:

Deep learning: new computational modelling techniques for genomics
Gökçen Eraslan, Žiga Avsec, Julien Gagneur, et al.
Nature Reviews Genetics (2019) Vol. 20, Iss. 7, pp. 389-403
Closed Access | Times Cited: 961
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Jianhua Zhang, Zhong Yin, Peng Chen, et al.
Information Fusion (2020) Vol. 59, pp. 103-126
Open Access | Times Cited: 582
GNINA 1.0: molecular docking with deep learning
Andrew T. McNutt, Paul Francoeur, Rishal Aggarwal, et al.
Journal of Cheminformatics (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 464
Network medicine framework for identifying drug-repurposing opportunities for COVID-19
Deisy Morselli Gysi, Ítalo Faria do Valle, Marinka Žitnik, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 19
Open Access | Times Cited: 450
How Machine Learning Will Transform Biomedicine
Jeremy Goecks, Vahid Jalili, Laura M. Heiser, et al.
Cell (2020) Vol. 181, Iss. 1, pp. 92-101
Open Access | Times Cited: 422
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: 372
DeepPurpose: a deep learning library for drug–target interaction prediction
Kexin Huang, Tianfan Fu, Lucas M. Glass, et al.
Bioinformatics (2020) Vol. 36, Iss. 22-23, pp. 5545-5547
Open Access | Times Cited: 335
Machine learning and complex biological data
Chunming Xu, Scott A. Jackson
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 324
MOLI: multi-omics late integration with deep neural networks for drug response prediction
Hossein Sharifi-Noghabi, Olga Zolotareva, Colin C. Collins, et al.
Bioinformatics (2019) Vol. 35, Iss. 14, pp. i501-i509
Open Access | Times Cited: 295
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
Yuri Yin‐Moe Aung, David Wong, Daniel Shu Wei Ting
British Medical Bulletin (2021) Vol. 139, Iss. 1, pp. 4-15
Closed Access | Times Cited: 283
Gut microbiome, big data and machine learning to promote precision medicine for cancer
Giovanni Cammarota, Gianluca Ianiro, Anna M. Ahern, et al.
Nature Reviews Gastroenterology & Hepatology (2020) Vol. 17, Iss. 10, pp. 635-648
Closed Access | Times Cited: 245
Computational/in silico methods in drug target and lead prediction
Francis E. Agamah, Gaston K. Mazandu, Radia Hassan, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1663-1675
Open Access | Times Cited: 232
Precision medicine in the era of artificial intelligence: implications in chronic disease management
Murugan Subramanian, Anne Wojtusciszyn, Lucie Favre, et al.
Journal of Translational Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 228
Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System
Gunasekaran Manogaran, P. Mohamed Shakeel, Hassan Fouad, et al.
Sensors (2019) Vol. 19, Iss. 13, pp. 3030-3030
Open Access | Times Cited: 201
Machine learning applications in drug development
Clémence Réda, Emilie Kaufmann, Andrée Delahaye‐Duriez
Computational and Structural Biotechnology Journal (2019) Vol. 18, pp. 241-252
Open Access | Times Cited: 198
Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring
Ryan B. Ghannam, Stephen M. Techtmann
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1092-1107
Open Access | Times Cited: 183
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
Nafiseh Ghaffar Nia, Erkan Kaplanoğlu, Ahad Nasab
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 183
Computational network biology: Data, models, and applications
Chuang Liu, Yifang Ma, Jing Zhao, et al.
Physics Reports (2019) Vol. 846, pp. 1-66
Open Access | Times Cited: 182
Application of Machine Learning in Microbiology
Kaiyang Qu, Fei Guo, Xiangrong Liu, et al.
Frontiers in Microbiology (2019) Vol. 10
Open Access | Times Cited: 174
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib, et al.
Information Fusion (2021) Vol. 79, pp. 263-278
Open Access | Times Cited: 168
Graph representation learning in biomedicine and healthcare
Michelle M. Li, Kexin Huang, Marinka Žitnik
Nature Biomedical Engineering (2022) Vol. 6, Iss. 12, pp. 1353-1369
Open Access | Times Cited: 164
Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
Hui Yang, Yamei Luo, Xiaolei Ren, et al.
Information Fusion (2021) Vol. 75, pp. 140-149
Closed Access | Times Cited: 156
Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 131
A guide to multi-omics data collection and integration for translational medicine
Efi Athieniti, George M. Spyrou
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 134-149
Open Access | Times Cited: 86
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
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