A citation-based method for searching scientific literature

David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis. Nature 2016
Times Cited: 864







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



Times Cited
  Times     Co-cited
Similarity


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
35

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
759
25

Mastering the game of Go without human knowledge.
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton,[...]. Nature 2017
406
14

Deep learning in neural networks: an overview.
Jürgen Schmidhuber. Neural Netw 2015
11

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
10

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros,[...]. JAMA 2016
9


Deep reinforcement learning for de novo drug design.
Mariya Popova, Olexandr Isayev, Alexander Tropsha. Sci Adv 2018
187
7

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.
David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel,[...]. Science 2018
119
7

Improved protein structure prediction using potentials from deep learning.
Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W R Nelson, Alex Bridgland,[...]. Nature 2020
361
7

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
6

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
263
6

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
426
6

Machine learning for molecular and materials science.
Keith T Butler, Daniel W Davies, Hugh Cartwright, Olexandr Isayev, Aron Walsh. Nature 2018
373
5

Generative Recurrent Networks for De Novo Drug Design.
Anvita Gupta, Alex T Müller, Berend J H Huisman, Jens A Fuchs, Petra Schneider, Gisbert Schneider. Mol Inform 2018
107
5

Extended-connectivity fingerprints.
David Rogers, Mathew Hahn. J Chem Inf Model 2010
5

Computer-based de novo design of drug-like molecules.
Gisbert Schneider, Uli Fechner. Nat Rev Drug Discov 2005
430
5

Grandmaster level in StarCraft II using multi-agent reinforcement learning.
Oriol Vinyals, Igor Babuschkin, Wojciech M Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H Choi, Richard Powell, Timo Ewalds, Petko Georgiev,[...]. Nature 2019
44
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
5


Planning chemical syntheses with deep neural networks and symbolic AI.
Marwin H S Segler, Mike Preuss, Mark P Waller. Nature 2018
311
5

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
796
5

Molecular de-novo design through deep reinforcement learning.
Marcus Olivecrona, Thomas Blaschke, Ola Engkvist, Hongming Chen. J Cheminform 2017
182
4

The rise of deep learning in drug discovery.
Hongming Chen, Ola Engkvist, Yinhai Wang, Marcus Olivecrona, Thomas Blaschke. Drug Discov Today 2018
332
4

De Novo Design of Bioactive Small Molecules by Artificial Intelligence.
Daniel Merk, Lukas Friedrich, Francesca Grisoni, Gisbert Schneider. Mol Inform 2018
91
4

Hybrid computing using a neural network with dynamic external memory.
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou,[...]. Nature 2016
93
4

Vector-based navigation using grid-like representations in artificial agents.
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J Chadwick, Thomas Degris, Joseph Modayil,[...]. Nature 2018
90
4

Neuroscience-Inspired Artificial Intelligence.
Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, Matthew Botvinick. Neuron 2017
162
4

A deep learning framework for neuroscience.
Blake A Richards, Timothy P Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafal Bogacz, Amelia Christensen, Claudia Clopath, Rui Ponte Costa, Archy de Berker, Surya Ganguli,[...]. Nat Neurosci 2019
90
4

Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
4

Clinically applicable deep learning for diagnosis and referral in retinal disease.
Jeffrey De Fauw, Joseph R Ledsam, Bernardino Romera-Paredes, Stanislav Nikolov, Nenad Tomasev, Sam Blackwell, Harry Askham, Xavier Glorot, Brendan O'Donoghue, Daniel Visentin,[...]. Nat Med 2018
528
4

International evaluation of an AI system for breast cancer screening.
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole, Jonathan Godwin, Natasha Antropova, Hutan Ashrafian, Trevor Back, Mary Chesus, Greg S Corrado, Ara Darzi,[...]. Nature 2020
282
4

Machine Learning in Medicine.
Rahul C Deo. Circulation 2015
589
3

The high-throughput highway to computational materials design.
Stefano Curtarolo, Gus L W Hart, Marco Buongiorno Nardelli, Natalio Mingo, Stefano Sanvito, Ohad Levy. Nat Mater 2013
330
3

Artificial intelligence in radiology.
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts. Nat Rev Cancer 2018
455
3

Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Stephen F Weng, Jenna Reps, Joe Kai, Jonathan M Garibaldi, Nadeem Qureshi. PLoS One 2017
258
3

Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
Zachi I Attia, Suraj Kapa, Francisco Lopez-Jimenez, Paul M McKie, Dorothy J Ladewig, Gaurav Satam, Patricia A Pellikka, Maurice Enriquez-Sarano, Peter A Noseworthy, Thomas M Munger,[...]. Nat Med 2019
181
3

ZINC 15--Ligand Discovery for Everyone.
Teague Sterling, John J Irwin. J Chem Inf Model 2015
787
3

Application of Generative Autoencoder in De Novo Molecular Design.
Thomas Blaschke, Marcus Olivecrona, Ola Engkvist, Jürgen Bajorath, Hongming Chen. Mol Inform 2018
102
3

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
3

Overcoming catastrophic forgetting in neural networks.
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska,[...]. Proc Natl Acad Sci U S A 2017
110
3

Continual lifelong learning with neural networks: A review.
German I Parisi, Ronald Kemker, Jose L Part, Christopher Kanan, Stefan Wermter. Neural Netw 2019
70
4


Building machines that learn and think like people.
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, Samuel J Gershman. Behav Brain Sci 2017
146
3

Toward an Integration of Deep Learning and Neuroscience.
Adam H Marblestone, Greg Wayne, Konrad P Kording. Front Comput Neurosci 2016
141
3


Molecular dynamics with on-the-fly machine learning of quantum-mechanical forces.
Zhenwei Li, James R Kermode, Alessandro De Vita. Phys Rev Lett 2015
137
3

Quantum chemistry structures and properties of 134 kilo molecules.
Raghunathan Ramakrishnan, Pavlo O Dral, Matthias Rupp, O Anatole von Lilienfeld. Sci Data 2014
247
3


PubChem Substance and Compound databases.
Sunghwan Kim, Paul A Thiessen, Evan E Bolton, Jie Chen, Gang Fu, Asta Gindulyte, Lianyi Han, Jane He, Siqian He, Benjamin A Shoemaker,[...]. Nucleic Acids Res 2016
3


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.