A citation-based method for searching scientific literature

Jürgen Schmidhuber. Neural Netw 2015
Times Cited: 1609







List of co-cited articles
118 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
41

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
11

A survey on deep learning in medical image analysis.
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez. Med Image Anal 2017
8

Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
4

The rise of deep learning in drug discovery.
Hongming Chen, Ola Engkvist, Yinhai Wang, Marcus Olivecrona, Thomas Blaschke. Drug Discov Today 2018
411
4

Machine learning: Trends, perspectives, and prospects.
M I Jordan, T M Mitchell. Science 2015
644
4

Extended-connectivity fingerprints.
David Rogers, Mathew Hahn. J Chem Inf Model 2010
4


Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
933
3

What is a support vector machine?
William S Noble. Nat Biotechnol 2006
595
3

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.
Rafael Gómez-Bombarelli, Jennifer N Wei, David Duvenaud, José Miguel Hernández-Lobato, Benjamín Sánchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D Hirzel, Ryan P Adams, Alán Aspuru-Guzik. ACS Cent Sci 2018
565
3

MR fingerprinting Deep RecOnstruction NEtwork (DRONE).
Ouri Cohen, Bo Zhu, Matthew S Rosen. Magn Reson Med 2018
103
3

Machine learning for molecular and materials science.
Keith T Butler, Daniel W Davies, Hugh Cartwright, Olexandr Isayev, Aron Walsh. Nature 2018
504
3

Recent applications of deep learning and machine intelligence on in silico drug discovery: methods, tools and databases.
Ahmet Sureyya Rifaioglu, Heval Atas, Maria Jesus Martin, Rengul Cetin-Atalay, Volkan Atalay, Tunca Doğan. Brief Bioinform 2019
100
3

A fast learning algorithm for deep belief nets.
Geoffrey E Hinton, Simon Osindero, Yee-Whye Teh. Neural Comput 2006
3

A Deep Learning Approach to Antibiotic Discovery.
Jonathan M Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M Donghia, Craig R MacNair, Shawn French, Lindsey A Carfrae, Zohar Bloom-Ackermann,[...]. Cell 2020
295
3

SciPy 1.0: fundamental algorithms for scientific computing in Python.
Pauli Virtanen, Ralf Gommers, Travis E Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright,[...]. Nat Methods 2020
3

Image quality assessment: from error visibility to structural similarity.
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli. IEEE Trans Image Process 2004
3



Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, Freddie Bray. CA Cancer J Clin 2021
3

Machine Learning in Medicine.
Alvin Rajkomar, Jeffrey Dean, Isaac Kohane. N Engl J Med 2019
621
2

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie Weygandt Mathis, Matthias Bethge. Nat Neurosci 2018
628
2

Deep learning tools for the measurement of animal behavior in neuroscience.
Mackenzie Weygandt Mathis, Alexander Mathis. Curr Opin Neurobiol 2020
66
3

Innovation in the pharmaceutical industry: New estimates of R&D costs.
Joseph A DiMasi, Henry G Grabowski, Ronald W Hansen. J Health Econ 2016
2

KDEEP: Protein-Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks.
José Jiménez, Miha Škalič, Gerard Martínez-Rosell, Gianni De Fabritiis. J Chem Inf Model 2018
245
2

Computational methods in drug discovery.
Sumudu P Leelananda, Steffen Lindert. Beilstein J Org Chem 2016
164
2



Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction.
Connor W Coley, Regina Barzilay, William H Green, Tommi S Jaakkola, Klavs F Jensen. J Chem Inf Model 2017
121
2

Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters.
Conrad Stork, Ya Chen, Martin Šícho, Johannes Kirchmair. J Chem Inf Model 2019
38
5

Molecular de-novo design through deep reinforcement learning.
Marcus Olivecrona, Thomas Blaschke, Ola Engkvist, Hongming Chen. J Cheminform 2017
242
2

Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Andre L Moreira, Narges Razavian, Aristotelis Tsirigos. Nat Med 2018
629
2

Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks.
Marwin H S Segler, Thierry Kogej, Christian Tyrchan, Mark P Waller. ACS Cent Sci 2018
344
2

Deep learning enables rapid identification of potent DDR1 kinase inhibitors.
Alex Zhavoronkov, Yan A Ivanenkov, Alex Aliper, Mark S Veselov, Vladimir A Aladinskiy, Anastasiya V Aladinskaya, Victor A Terentiev, Daniil A Polykovskiy, Maksim D Kuznetsov, Arip Asadulaev,[...]. Nat Biotechnol 2019
237
2

ChEMBL: a large-scale bioactivity database for drug discovery.
Anna Gaulton, Louisa J Bellis, A Patricia Bento, Jon Chambers, Mark Davies, Anne Hersey, Yvonne Light, Shaun McGlinchey, David Michalovich, Bissan Al-Lazikani,[...]. Nucleic Acids Res 2012
2

Human-level control through deep reinforcement learning.
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski,[...]. Nature 2015
930
2

Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness.
Michiru Nishita, Seung-Yeol Park, Tadashi Nishio, Koki Kamizaki, ZhiChao Wang, Kota Tamada, Toru Takumi, Ryuju Hashimoto, Hiroki Otani, Gregory J Pazour,[...]. Sci Rep 2017
2

De novo drug design.
Markus Hartenfeller, Gisbert Schneider. Methods Mol Biol 2011
66
3

Deep learning of the tissue-regulated splicing code.
Michael K K Leung, Hui Yuan Xiong, Leo J Lee, Brendan J Frey. Bioinformatics 2014
148
2

Applications of machine learning in drug discovery and development.
Jessica Vamathevan, Dominic Clark, Paul Czodrowski, Ian Dunham, Edgardo Ferran, George Lee, Bin Li, Anant Madabhushi, Parantu Shah, Michaela Spitzer,[...]. Nat Rev Drug Discov 2019
354
2

Advances with support vector machines for novel drug discovery.
Vinicius Gonçalves Maltarollo, Thales Kronenberger, Gabriel Zarzana Espinoza, Patricia Rufino Oliveira, Kathia Maria Honorio. Expert Opin Drug Discov 2019
15
13

Drug repositioning: identifying and developing new uses for existing drugs.
Ted T Ashburn, Karl B Thor. Nat Rev Drug Discov 2004
2

ToxAlerts: a Web server of structural alerts for toxic chemicals and compounds with potential adverse reactions.
Iurii Sushko, Elena Salmina, Vladimir A Potemkin, Gennadiy Poda, Igor V Tetko. J Chem Inf Model 2012
109
2

Mastering the game of Go with deep neural networks and tree search.
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot,[...]. Nature 2016
996
2

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.
Hoo-Chang Shin, Holger R Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M Summers. IEEE Trans Med Imaging 2016
915
2


Extreme Gradient Boosting as a Method for Quantitative Structure-Activity Relationships.
Robert P Sheridan, Wei Min Wang, Andy Liaw, Junshui Ma, Eric M Gifford. J Chem Inf Model 2016
102
2

The ChEMBL database in 2017.
Anna Gaulton, Anne Hersey, Michał Nowotka, A Patrícia Bento, Jon Chambers, David Mendez, Prudence Mutowo, Francis Atkinson, Louisa J Bellis, Elena Cibrián-Uhalte,[...]. Nucleic Acids Res 2017
851
2

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.
Kristina Preuer, Richard P I Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, Günter Klambauer. Bioinformatics 2018
111
2


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.