A citation-based method for searching scientific literature

Jürgen Schmidhuber. Neural Netw 2015
Times Cited: 1357







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



Times Cited
  Times     Co-cited
Similarity


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
47

Long short-term memory.
S Hochreiter, J Schmidhuber. Neural Comput 1997
16

Representation learning: a review and new perspectives.
Yoshua Bengio, Aaron Courville, Pascal Vincent. IEEE Trans Pattern Anal Mach Intell 2013
796
8

Deep Learning in Medical Image Analysis.
Dinggang Shen, Guorong Wu, Heung-Il Suk. Annu Rev Biomed Eng 2017
677
7

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
6

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

The rise of deep learning in drug discovery.
Hongming Chen, Ola Engkvist, Yinhai Wang, Marcus Olivecrona, Thomas Blaschke. Drug Discov Today 2018
332
5


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
5

Learning long-term dependencies with gradient descent is difficult.
Y Bengio, P Simard, P Frasconi. IEEE Trans Neural Netw 1994
422
4

Deep learning for computational biology.
Christof Angermueller, Tanel Pärnamaa, Leopold Parts, Oliver Stegle. Mol Syst Biol 2016
418
4

Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.
Daniel P Russo, Kimberley M Zorn, Alex M Clark, Hao Zhu, Sean Ekins. Mol Pharm 2018
53
7

Deep-Learning-Based Drug-Target Interaction Prediction.
Ming Wen, Zhimin Zhang, Shaoyu Niu, Haozhi Sha, Ruihan Yang, Yonghuan Yun, Hongmei Lu. J Proteome Res 2017
115
4

Recent Advances of Deep Learning in Bioinformatics and Computational Biology.
Binhua Tang, Zixiang Pan, Kang Yin, Asif Khateeb. Front Genet 2019
36
11

Deep learning for computational chemistry.
Garrett B Goh, Nathan O Hodas, Abhinav Vishnu. J Comput Chem 2017
140
4

Machine learning applications in genetics and genomics.
Maxwell W Libbrecht, William Stafford Noble. Nat Rev Genet 2015
452
4

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

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
864
4

Machine learning methods in chemoinformatics.
John B O Mitchell. Wiley Interdiscip Rev Comput Mol Sci 2014
154
4

Towards exact molecular dynamics simulations with machine-learned force fields.
Stefan Chmiela, Huziel E Sauceda, Klaus-Robert Müller, Alexandre Tkatchenko. Nat Commun 2018
109
4

LSTM: A Search Space Odyssey.
Klaus Greff, Rupesh K Srivastava, Jan Koutnik, Bas R Steunebrink, Jurgen Schmidhuber. IEEE Trans Neural Netw Learn Syst 2017
189
3

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
459
3

Deep learning in bioinformatics.
Seonwoo Min, Byunghan Lee, Sungroh Yoon. Brief Bioinform 2017
317
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

Radiomics: the bridge between medical imaging and personalized medicine.
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, Jurgen Peerlings, Evelyn E C de Jong, Janita van Timmeren, Sebastian Sanduleanu, Ruben T H M Larue, Aniek J G Even, Arthur Jochems,[...]. Nat Rev Clin Oncol 2017
996
3

Is Multitask Deep Learning Practical for Pharma?
Bharath Ramsundar, Bowen Liu, Zhenqin Wu, Andreas Verras, Matthew Tudor, Robert P Sheridan, Vijay Pande. J Chem Inf Model 2017
90
3

The ToxCast program for prioritizing toxicity testing of environmental chemicals.
David J Dix, Keith A Houck, Matthew T Martin, Ann M Richard, R Woodrow Setzer, Robert J Kavlock. Toxicol Sci 2007
482
3

Reducing the dimensionality of data with neural networks.
G E Hinton, R R Salakhutdinov. Science 2006
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
426
3

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina C S Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan,[...]. Cell 2018
531
3

Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.
Michael David Abràmoff, Yiyue Lou, Ali Erginay, Warren Clarida, Ryan Amelon, James C Folk, Meindert Niemeijer. Invest Ophthalmol Vis Sci 2016
247
3

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.
Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla. IEEE Trans Pattern Anal Mach Intell 2017
665
3

Automated detection of COVID-19 cases using deep neural networks with X-ray images.
Tulin Ozturk, Muhammed Talo, Eylul Azra Yildirim, Ulas Baran Baloglu, Ozal Yildirim, U Rajendra Acharya. Comput Biol Med 2020
280
3

An overview of statistical learning theory.
V N Vapnik. IEEE Trans Neural Netw 1999
599
3

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
160
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

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
694
3

How machine learning can assist the interpretation of ab initio molecular dynamics simulations and conceptual understanding of chemistry.
Florian Häse, Ignacio Fdez Galván, Alán Aspuru-Guzik, Roland Lindh, Morgane Vacher. Chem Sci 2018
31
9




Machine Learning Interatomic Potentials as Emerging Tools for Materials Science.
Volker L Deringer, Miguel A Caro, Gábor Csányi. Adv Mater 2019
48
6

Machine Learning for Molecular Simulation.
Frank Noé, Alexandre Tkatchenko, Klaus-Robert Müller, Cecilia Clementi. Annu Rev Phys Chem 2020
63
4

Machine Learning of Coarse-Grained Molecular Dynamics Force Fields.
Jiang Wang, Simon Olsson, Christoph Wehmeyer, Adrià Pérez, Nicholas E Charron, Gianni de Fabritiis, Frank Noé, Cecilia Clementi. ACS Cent Sci 2019
65
4

Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach.
Raghunathan Ramakrishnan, Pavlo O Dral, Matthias Rupp, O Anatole von Lilienfeld. J Chem Theory Comput 2015
198
3

Machine learning for molecular and materials science.
Keith T Butler, Daniel W Davies, Hugh Cartwright, Olexandr Isayev, Aron Walsh. Nature 2018
373
3

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest,[...]. IEEE Trans Med Imaging 2015
567
2

Brain tumor segmentation with Deep Neural Networks.
Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle. Med Image Anal 2017
432
2

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
2

Convolutional neural network architectures for predicting DNA-protein binding.
Haoyang Zeng, Matthew D Edwards, Ge Liu, David K Gifford. Bioinformatics 2016
125
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.