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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:

The human splicing code reveals new insights into the genetic determinants of disease
Hui Xiong, Babak Alipanahi, Leo J. Lee, et al.
Science (2014) Vol. 347, Iss. 6218
Open Access | Times Cited: 1188

Showing 1-25 of 1188 citing articles:

Deep learning
Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton
Nature (2015) Vol. 521, Iss. 7553, pp. 436-444
Closed Access | Times Cited: 67452
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
Vivienne Sze, Yu‐Hsin Chen, Tien-Ju Yang, et al.
Proceedings of the IEEE (2017) Vol. 105, Iss. 12, pp. 2295-2329
Open Access | Times Cited: 3301
CADD: predicting the deleteriousness of variants throughout the human genome
Philipp Rentzsch, Daniela Witten, Gregory M. Cooper, et al.
Nucleic Acids Research (2018) Vol. 47, Iss. D1, pp. D886-D894
Open Access | Times Cited: 3023
A guide to deep learning in healthcare
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar, et al.
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 24-29
Closed Access | Times Cited: 2968
Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto, Fei Wang, Shuang Wang, et al.
Briefings in Bioinformatics (2017) Vol. 19, Iss. 6, pp. 1236-1246
Open Access | Times Cited: 2280
Applications of machine learning in drug discovery and development
Jessica Vamathevan, Dominic A. Clark, Paul Czodrowski, et al.
Nature Reviews Drug Discovery (2019) Vol. 18, Iss. 6, pp. 463-477
Open Access | Times Cited: 2082
Privacy-Preserving Deep Learning
Reza Shokri, Vitaly Shmatikov
(2015)
Closed Access | Times Cited: 1970
Predicting Splicing from Primary Sequence with Deep Learning
Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou, Jeremy F. McRae, et al.
Cell (2019) Vol. 176, Iss. 3, pp. 535-548.e24
Open Access | Times Cited: 1922
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar, Ajmal Mian
IEEE Access (2018) Vol. 6, pp. 14410-14430
Open Access | Times Cited: 1864
Opportunities and obstacles for deep learning in biology and medicine
Travers Ching, Daniel Himmelstein, Brett K. Beaulieu‐Jones, et al.
Journal of The Royal Society Interface (2018) Vol. 15, Iss. 141, pp. 20170387-20170387
Open Access | Times Cited: 1842
Deep Learning for Health Informatics
Daniele Ravì, Charence Wong, Fani Deligianni, et al.
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 1, pp. 4-21
Open Access | Times Cited: 1781
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Riccardo Miotto, Li Li, Brian Kidd, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 1496
Deep learning for computational biology
Christof Angermueller, Tanel Pärnamaa, Leopold Parts, et al.
Molecular Systems Biology (2016) Vol. 12, Iss. 7
Open Access | Times Cited: 1334
A universal SNP and small-indel variant caller using deep neural networks
Ryan Poplin, Pi-Chuan Chang, David H. Alexander, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 10, pp. 983-987
Open Access | Times Cited: 1270
DeepDTA: deep drug–target binding affinity prediction
Hakime Öztürk, Arzucan Özgür, Elif Özkırımlı
Bioinformatics (2018) Vol. 34, Iss. 17, pp. i821-i829
Open Access | Times Cited: 1113
RNA mis-splicing in disease
Marina M. Scotti, Maurice S. Swanson
Nature Reviews Genetics (2015) Vol. 17, Iss. 1, pp. 19-32
Open Access | Times Cited: 1040
dbNSFP v3.0: A One-Stop Database of Functional Predictions and Annotations for Human Nonsynonymous and Splice-Site SNVs
Xiaoming Liu, Chunlei Wu, Chang Li, et al.
Human Mutation (2015) Vol. 37, Iss. 3, pp. 235-241
Open Access | Times Cited: 953
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: 948
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
Wei Bao, Jun Yue, Yulei Rao
PLoS ONE (2017) Vol. 12, Iss. 7, pp. e0180944-e0180944
Open Access | Times Cited: 905
Whole genome sequencing resource identifies 18 new candidate genes for autism spectrum disorder
Ryan K. C. Yuen, Daniele Merico, Matt Bookman, et al.
Nature Neuroscience (2017) Vol. 20, Iss. 4, pp. 602-611
Open Access | Times Cited: 816
Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
Ehsaneddin Asgari, Mohammad R. K. Mofrad
PLoS ONE (2015) Vol. 10, Iss. 11, pp. e0141287-e0141287
Open Access | Times Cited: 775
Machine learning in materials science
Jing Wei, Xuan Chu, Xiangyu Sun, et al.
InfoMat (2019) Vol. 1, Iss. 3, pp. 338-358
Open Access | Times Cited: 720
Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
Qian Mao, Fei Hu, Qi Hao
IEEE Communications Surveys & Tutorials (2018) Vol. 20, Iss. 4, pp. 2595-2621
Closed Access | Times Cited: 688
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
David C. Mohr, Mi Zhang, Stephen M. Schueller
Annual Review of Clinical Psychology (2017) Vol. 13, Iss. 1, pp. 23-47
Open Access | Times Cited: 682
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Cao Xiao, Edward Choi, Jimeng Sun
Journal of the American Medical Informatics Association (2018) Vol. 25, Iss. 10, pp. 1419-1428
Open Access | Times Cited: 677
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