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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 guide to machine learning for biologists
Joe G. Greener, Shaun M. Kandathil, Lewis Moffat, et al.
Nature Reviews Molecular Cell Biology (2021) Vol. 23, Iss. 1, pp. 40-55
Open Access | Times Cited: 1156

Showing 1-25 of 1156 citing articles:

Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologies
Nikhil Aggarwal, Shohei Kitano, Ginette Ru Ying Puah, et al.
Chemical Reviews (2022) Vol. 123, Iss. 1, pp. 31-72
Open Access | Times Cited: 163
The impact of AlphaFold2 one year on
David T. Jones, Janet M. Thornton
Nature Methods (2022) Vol. 19, Iss. 1, pp. 15-20
Open Access | Times Cited: 149
Glycoproteomics
Ieva Bagdonaite, Stacy A. Malaker, Daniel A. Polasky, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 139
DNA methylation-based predictors of health: applications and statistical considerations
Paul Yousefi, Matthew Suderman, Ryan Langdon, et al.
Nature Reviews Genetics (2022) Vol. 23, Iss. 6, pp. 369-383
Closed Access | Times Cited: 134
PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions
Seokhyun Moon, Wonho Zhung, Soojung Yang, et al.
Chemical Science (2022) Vol. 13, Iss. 13, pp. 3661-3673
Open Access | Times Cited: 114
Engineered Living Materials For Sustainability
Bolin An, Yan‐Yi Wang, Yuan‐Yuan Huang, et al.
Chemical Reviews (2022) Vol. 123, Iss. 5, pp. 2349-2419
Open Access | Times Cited: 104
Review on automated condition assessment of pipelines with machine learning
Yiming Liu, Yi Bao
Advanced Engineering Informatics (2022) Vol. 53, pp. 101687-101687
Closed Access | Times Cited: 99
Direct generation of protein conformational ensembles via machine learning
Giacomo Janson, Gilberto Valdés‐García, Lim Heo, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 81
Predictive analytics with ensemble modeling in laparoscopic surgery: A technical note
Zhongheng Zhang, Lin Chen, Ping Xu, et al.
Laparoscopic Endoscopic and Robotic Surgery (2022) Vol. 5, Iss. 1, pp. 25-34
Open Access | Times Cited: 75
Machine Learning for Auto-Segmentation in Radiotherapy Planning
K. Harrison, H. Pullen, Ceilidh Welsh, et al.
Clinical Oncology (2022) Vol. 34, Iss. 2, pp. 74-88
Closed Access | Times Cited: 75
A distinct stimulatory cDC1 subpopulation amplifies CD8+ T cell responses in tumors for protective anti-cancer immunity
Philippa Meiser, Moritz Knolle, Anna Hirschberger, et al.
Cancer Cell (2023) Vol. 41, Iss. 8, pp. 1498-1515.e10
Open Access | Times Cited: 74
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 70
An Unsupervised Machine Learning Algorithms: Comprehensive Review
Samreen Naeem, Aqib Ali, Sania Anam, et al.
International Journal of Computing and Digital Systems (2023) Vol. 13, Iss. 1, pp. 911-921
Open Access | Times Cited: 70
Machine learning bridges omics sciences and plant breeding
Jun Yan, Xiangfeng Wang
Trends in Plant Science (2022) Vol. 28, Iss. 2, pp. 199-210
Closed Access | Times Cited: 67
Deep learning shapes single-cell data analysis
Qin Ma, Dong Xu
Nature Reviews Molecular Cell Biology (2022) Vol. 23, Iss. 5, pp. 303-304
Open Access | Times Cited: 66
A review of machine learning methods applied to structural dynamics and vibroacoustic
Barbara Zaparoli Cunha, Christophe Droz, Abdelmalek Zine, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110535-110535
Open Access | Times Cited: 66
Flow Cytometry: The Next Revolution
J. Paul Robinson, Raluca Ostafe, Sharath Narayana Iyengar, et al.
Cells (2023) Vol. 12, Iss. 14, pp. 1875-1875
Open Access | Times Cited: 66
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 65
Machine‐Learning‐Assisted Nanozyme Design: Lessons from Materials and Engineered Enzymes
Jie Zhuang, Adam C. Midgley, Yonghua Wei, et al.
Advanced Materials (2023) Vol. 36, Iss. 10
Closed Access | Times Cited: 58
Scientific novelty beyond the experiment
John E. Hallsworth, Zulema Udaondo, Carlos Pedrós‐Alió, et al.
Microbial Biotechnology (2023) Vol. 16, Iss. 6, pp. 1131-1173
Open Access | Times Cited: 58
Genetics of human brain development
Yi Zhou, Hongjun Song, Guo‐li Ming
Nature Reviews Genetics (2023) Vol. 25, Iss. 1, pp. 26-45
Closed Access | Times Cited: 55
Multimodal learning with graphs
Yasha Ektefaie, George Dasoulas, Ayush Noori, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 340-350
Open Access | Times Cited: 53
AI-enabled organoids: Construction, analysis, and application
Long Bai, Yan Wu, Guangfeng Li, et al.
Bioactive Materials (2023) Vol. 31, pp. 525-548
Open Access | Times Cited: 53
Deep Learning in Population Genetics
Kevin Korfmann, Oscar E. Gaggiotti, Matteo Fumagalli
Genome Biology and Evolution (2023) Vol. 15, Iss. 2
Open Access | Times Cited: 46
Strategies for non-viral vectors targeting organs beyond the liver
Jeonghwan Kim, Yulia Eygeris, Renee C. Ryals, et al.
Nature Nanotechnology (2023) Vol. 19, Iss. 4, pp. 428-447
Closed Access | Times Cited: 42
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