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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:

Deep learning of the tissue-regulated splicing code
Michael K. K. Leung, Hui Xiong, Leo J. Lee, et al.
Bioinformatics (2014) Vol. 30, Iss. 12, pp. i121-i129
Open Access | Times Cited: 471

Showing 1-25 of 471 citing articles:

Deep learning
Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton
Nature (2015) Vol. 521, Iss. 7553, pp. 436-444
Closed Access | Times Cited: 68195
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: 2132
Deep learning and its applications to machine health monitoring
Rui Zhao, Ruqiang Yan, Zhenghua Chen, et al.
Mechanical Systems and Signal Processing (2018) Vol. 115, pp. 213-237
Closed Access | Times Cited: 2056
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: 1512
Deep learning in bioinformatics
Seonwoo Min, Byunghan Lee, Sungroh Yoon
Briefings in Bioinformatics (2016), pp. bbw068-bbw068
Open Access | Times Cited: 1426
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: 1340
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: 1140
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: 915
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: 743
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: 692
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: 685
Artificial Intelligence in Medical Practice: The Question to the Answer?
D. Douglas Miller, Eric W. Brown
The American Journal of Medicine (2017) Vol. 131, Iss. 2, pp. 129-133
Closed Access | Times Cited: 667
Applications of Deep Learning in Biomedicine
Polina Mamoshina, Armando Vieira, Evgeny Putin, et al.
Molecular Pharmaceutics (2016) Vol. 13, Iss. 5, pp. 1445-1454
Closed Access | Times Cited: 658
Deep Learning in Drug Discovery
Erik Gawehn, Jan A. Hiss, Gisbert Schneider
Molecular Informatics (2015) Vol. 35, Iss. 1, pp. 3-14
Open Access | Times Cited: 650
Deep Learning and Its Applications in Biomedicine
Chensi Cao, Feng Liu, Hai Tan, et al.
Genomics Proteomics & Bioinformatics (2018) Vol. 16, Iss. 1, pp. 17-32
Open Access | Times Cited: 568
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction
Marta M. Stepniewska-Dziubinska, Piotr Zielenkiewicz, Paweł Siedlecki
Bioinformatics (2018) Vol. 34, Iss. 21, pp. 3666-3674
Open Access | Times Cited: 540
Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data
Alexander Aliper, Sergey M. Plis, Artem V. Artemov, et al.
Molecular Pharmaceutics (2016) Vol. 13, Iss. 7, pp. 2524-2530
Open Access | Times Cited: 530
An Introductory Review of Deep Learning for Prediction Models With Big Data
Frank Emmert‐Streib, Zhen Yang, Feng Han, et al.
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 516
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
Félix Lussier, Vincent Thibault, Benjamin Charron, et al.
TrAC Trends in Analytical Chemistry (2020) Vol. 124, pp. 115796-115796
Closed Access | Times Cited: 505
Machine Learning in Drug Discovery: A Review
Suresh Dara, Swetha Dhamercherla, Surender Singh Jadav, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 1947-1999
Open Access | Times Cited: 495
Understanding deep convolutional networks
Stéphane Mallat
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2016) Vol. 374, Iss. 2065, pp. 20150203-20150203
Open Access | Times Cited: 488
Splice-switching antisense oligonucleotides as therapeutic drugs
Mallory A. Havens, Michelle L. Hastings
Nucleic Acids Research (2016) Vol. 44, Iss. 14, pp. 6549-6563
Open Access | Times Cited: 441
Gene expression inference with deep learning
Yifei Chen, Yi Li, Rajiv Narayan, et al.
Bioinformatics (2016) Vol. 32, Iss. 12, pp. 1832-1839
Open Access | Times Cited: 406
Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia
JungHoe Kim, Vince D. Calhoun, Eunsoo Shim, et al.
NeuroImage (2015) Vol. 124, pp. 127-146
Open Access | Times Cited: 341
Artificial intelligence in clinical and genomic diagnostics
Raquel Dias, Ali Torkamani
Genome Medicine (2019) Vol. 11, Iss. 1
Open Access | Times Cited: 340
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