Shohei SHIMIZU

Cited by

	All	Since 2016
Citations	2636	1730
h-index	20	17
i10-index	31	23

440

220

110

330

200620072008200920102011201220132014201520162017201820192020202124 19 39 47 107 75 133 152 137 145 188 201 228 300 433 380

Public access

View all

5 articles

2 articles

available

not available

Based on funding mandates

Co-authors

Aapo HyvarinenUniversity of HelsinkiVerified email at helsinki.fi
Patrik HoyerAlumni, Aalto University and University of HelsinkiVerified email at alumni.aalto.fi
Yoshinobu KawaharaKyushu University / RIKENVerified email at imi.kyushu-u.ac.jp
Yutaka KanoOsaka UniversityVerified email at sigmath.es.osaka-u.ac.jp
Xiaokang ZhouAssociate Professor, Faculty of Data Science, Shiga University, JapanVerified email at biwako.shiga-u.ac.jp
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina atVerified email at unc.edu
Patrick BlöbaumAmazon (AWS)Verified email at amazon.com
Wei LiangHunan UniversityVerified email at xmut.edu.cn
Qun JinProfessor, Waseda UniversityVerified email at waseda.jp
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Seiya ImotoProfessor of Institute of Medical Science, University of TokyoVerified email at ims.u-tokyo.ac.jp
Richard ScheinesDean, Dietrich College of Humanities and Social Sciences, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Joseph RamseyCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Peter SpirtesProfessor of Philosophy, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Suzuki JoeOsaka UnivVerified email at math.sci.osaka-u.ac.jp
Takashi Nicholas MAEDARIKEN Center for Advanced Intelligence ProjectVerified email at riken.go.jp
Wei FengInstitute of Software Chinese Academy of SciencesVerified email at tca.iscas.ac.cn
Kevin I-Kai WangDepartment of Electrical, Computer, and Software Engineering, The University of AucklandVerified email at auckland.ac.nz

Shohei SHIMIZU

Shiga University & RIKEN

Verified email at biwako.shiga-u.ac.jp - Homepage

Causal Discovery Causality Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A linear non-Gaussian acyclic model for causal discovery S Shimizu, PO Hoyer, A Hyvärinen, A Kerminen Journal of Machine Learning Research 7, 2003-2030, 2006	995	2006
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model S Shimizu, T Inazumi, Y Sogawa, A Hyvarinen, Y Kawahara, T Washio, ... Journal of Machine Learning Research 12, 1225-1248, 2011	268	2011
Estimation of a structural vector autoregression model using non-Gaussianity A Hyvärinen, K Zhang, S Shimizu, PO Hoyer Journal of Machine Learning Research 11, 1709-1731, 2010	219	2010
Estimation of causal effects using linear non-Gaussian causal models with hidden variables PO Hoyer, S Shimizu, AJ Kerminen, M Palviainen International Journal of Approximate Reasoning 49 (2), 362-378, 2008	158	2008
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity A Hyvärinen, S Shimizu, PO Hoyer The 25th International Conference on Machine learning (ICML2008), 424-431, 2008	76	2008
Causal discovery of linear acyclic models with arbitrary distributions PO Hoyer, A Hyvärinen, R Scheines, P Spirtes, J Ramsey, G Lacerda, ... The 24th Conference on Uncertainty in Artificial Intelligence (UAI2008), 2008	71*	2008
LiNGAM: Non-Gaussian methods for estimating causal structures S Shimizu Behaviormetrika 41 (1), 65-98, 2014	58	2014
Use of non-normality in structural equation modeling: Application to direction of causation S Shimizu, Y Kano Journal of Statistical Planning and Inference 138 (11), 3483-3491, 2008	57	2008
Causal inference using nonnormality Y Kano, S Shimizu International Symposium on Science of Modeling, the 30th Anniversary of the …, 2003	56	2003
Discovery of non-gaussian linear causal models using ICA S Shimizu, A Hyvarinen, Y Kano, PO Hoyer The 21st Conference on Uncertainty in Artificial Intelligence (UAI2005), 2005	52*	2005
Bayesian estimation of causal direction in acyclic structural equation models with individual-specific confounder variables and non-Gaussian distributions S Shimizu, K Bollen Journal of Machine Learning Research 15, 2629-2652, 2014	45	2014
ParceLiNGAM: A causal ordering method robust against latent confounders T Tashiro, S Shimizu, A Hyvarinen, T Washio Neural Computation 26 (1), 57-83, 2014	38	2014
Multi-modality behavioral influence analysis for personalized recommendations in health social media environment X Zhou, W Liang, I Kevin, K Wang, S Shimizu IEEE Transactions on Computational Social Systems 6 (5), 888-897, 2019	37	2019
Cause-effect inference by comparing regression errors P Blöbaum, D Janzing, T Washio, S Shimizu, B Schölkopf International Conference on Artificial Intelligence and Statistics …, 2018	37	2018
Finding a causal ordering via independent component analysis S Shimizu, A Hyvärinen, PO Hoyer, Y Kano Computational Statistics & Data Analysis 50 (11), 3278-3293, 2006	36	2006
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model S Shimizu, A Hyvärinen, Y Kawahara, T Washio The 25th Conference on Uncertainty in Artificial Intelligence (UAI2009), 506-513, 2009	27*	2009
Estimation of linear non-Gaussian acyclic models for latent factors S Shimizu, PO Hoyer, A Hyvärinen Neurocomputing 72 (7-9), 2024-2027, 2009	27	2009
Siamese neural network based few-shot learning for anomaly detection in industrial cyber-physical systems X Zhou, W Liang, S Shimizu, J Ma, Q Jin IEEE Transactions on Industrial Informatics 17 (8), 5790-5798, 2020	26	2020
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables PO Hoyer, S Shimizu, AJ Kerminen The 3rd European Workshop on Probabilistic Graphical Models (PGM2006), 2006	26	2006
Joint estimation of linear non-Gaussian acyclic models S Shimizu Neurocomputing 81, 104-107, 2012	22	2012

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors