| Rules and exemplars in categorization, identification, and recognition. RM Nosofsky, SE Clark, HJ Shin Journal of Experimental Psychology: Learning, memory, and cognition 15 (2), 282, 1989 | 402 | 1989 |
| Fast protein classification with multiple networks K Tsuda, H Shin, B Schölkopf Bioinformatics 21 (suppl_2), ii59-ii65, 2005 | 290 | 2005 |
| Similarity-scaling studies of dot-pattern classification and recognition. HJ Shin, RM Nosofsky Journal of Experimental Psychology: General 121 (3), 278, 1992 | 247 | 1992 |
| Robust predictive model for evaluating breast cancer survivability K Park, A Ali, D Kim, Y An, M Kim, H Shin Engineering Applications of Artificial Intelligence 26 (9), 2194-2205, 2013 | 210 | 2013 |
| Detecting affiliation in colaughter across 24 societies GA Bryant, DMT Fessler, R Fusaroli, E Clint, L Aarøe, CL Apicella, ... Proceedings of the National Academy of Sciences 113 (17), 4682-4687, 2016 | 165 | 2016 |
| Response modeling with support vector machines HJ Shin, S Cho Expert Systems with applications 30 (4), 746-760, 2006 | 138 | 2006 |
| Predicting breast cancer survivability using fuzzy decision trees for personalized healthcare MU Khan, JP Choi, H Shin, M Kim 2008 30th annual international conference of the IEEE engineering in …, 2008 | 130 | 2008 |
| Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data J Kim, H Shin Journal of the American Medical Informatics Association 20 (4), 613-618, 2013 | 125 | 2013 |
| Synergistic effect of different levels of genomic data for cancer clinical outcome prediction D Kim, H Shin, YS Song, JH Kim Journal of biomedical informatics 45 (6), 1191-1198, 2012 | 118 | 2012 |
| Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction D Kim, JG Joung, KA Sohn, H Shin, YR Park, MD Ritchie, JH Kim Journal of the American Medical Informatics Association 22 (1), 109-120, 2015 | 116 | 2015 |
| Neighborhood property–based pattern selection for support vector machines H Shin, S Cho Neural Computation 19 (3), 816-855, 2007 | 115 | 2007 |
| A scoring model to detect abusive billing patterns in health insurance claims H Shin, H Park, J Lee, WC Jhee Expert Systems with Applications 39 (8), 7441-7450, 2012 | 101 | 2012 |
| Interface Properties of Atomic-Layer-Deposited Al2O3 Thin Films on Ultraviolet/Ozone-Treated Multilayer MoS2 Crystals S Park, SY Kim, Y Choi, M Kim, H Shin, J Kim, W Choi ACS Applied Materials & Interfaces 8 (18), 11189-11193, 2016 | 95 | 2016 |
| Prediction of movement direction in crude oil prices based on semi-supervised learning H Shin, T Hou, K Park, CK Park, S Choi Decision Support Systems 55 (1), 348-358, 2013 | 94 | 2013 |
| New hybrid hole extraction layer of perovskite solar cells with a planar p–i–n geometry IJ Park, MA Park, DH Kim, GD Park, BJ Kim, HJ Son, MJ Ko, DK Lee, ... The Journal of Physical Chemistry C 119 (49), 27285-27290, 2015 | 93 | 2015 |
| Fast pattern selection for support vector classifiers H Shin, S Cho Pacific-Asia Conference on Knowledge Discovery and Data Mining, 376-387, 2003 | 76 | 2003 |
| The perception of spontaneous and volitional laughter across 21 societies GA Bryant, DMT Fessler, R Fusaroli, E Clint, D Amir, B Chávez, ... Psychological science 29 (9), 1515-1525, 2018 | 74 | 2018 |
| Graph sharpening plus graph integration: a synergy that improves protein functional classification H Shin, AM Lisewski, O Lichtarge Bioinformatics 23 (23), 3217-3224, 2007 | 72 | 2007 |
| Stock price prediction based on a complex interrelation network of economic factors K Park, H Shin Engineering Applications of Artificial Intelligence 26 (5-6), 1550-1561, 2013 | 68 | 2013 |
| Fast content-based file type identification I Ahmed, KS Lhee, HJ Shin, MP Hong Advances in Digital Forensics VII: 7th IFIP WG 11.9 International Conference …, 2011 | 59 | 2011 |
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