| Queen-bee evolution for genetic algorithms SH Jung Electronics letters 39 (6), 1, 2003 | 195 | 2003 |
| Attractor landscape analysis reveals feedback loops in the p53 network that control the cellular response to DNA damage M Choi, J Shi, SH Jung, X Chen, KH Cho Science signaling 5 (251), ra83-ra83, 2012 | 184 | 2012 |
| Reverse engineering of gene regulatory networks KH Cho, SM Choo, SH Jung, JR Kim, HS Choi, J Kim IET Systems Biology 1 (3), 149-163, 2007 | 157 | 2007 |
| Fast learning method for back-propagation neural network by evolutionary adaptation of learning rates HB Kim, SH Jung, TG Kim, KH Park Neurocomputing 11 (1), 101-106, 1996 | 87 | 1996 |
| A design principle underlying the synchronization of oscillations in cellular systems JR Kim, D Shin, SH Jung, P Heslop-Harrison, KH Cho Journal of cell science 123 (4), 537-543, 2010 | 75 | 2010 |
| A hierarchical self-repairing architecture for fast fault recovery of digital systems inspired from paralogous gene regulatory circuits S Kim, H Chu, I Yang, S Hong, SH Jung, KH Cho IEEE Transactions on Very Large Scale Integration (VLSI) Systems 20 (12 …, 2011 | 40 | 2011 |
| Self-repairing digital system with unified recovery process inspired by endocrine cellular communication I Yang, SH Jung, KH Cho IEEE transactions on very large scale integration (vlsi) systems 21 (6 …, 2012 | 33 | 2012 |
| Exploiting intelligence in fighting action games using neural networks BH Cho, SH Jung, YR Seong, HR Oh IEICE transactions on information and systems 89 (3), 1249-1256, 2006 | 31 | 2006 |
| Interlinked mutual inhibitory positive feedbacks induce robust cellular memory effects TH Kim, SH Jung, KH Cho FEBS letters 581 (25), 4899-4904, 2007 | 23 | 2007 |
| Evolutionary design principles of modules that control cellular differentiation: consequences for hysteresis and multistationarity J Kim, TG Kim, SH Jung, JR Kim, T Park, P Heslop-Harrison, KH Cho Bioinformatics 24 (13), 1516-1522, 2008 | 21 | 2008 |
| Investigations into the design principles in the chemotactic behavior of Escherichia coli TH Kim, SH Jung, KH Cho Biosystems 91 (1), 171-182, 2008 | 21 | 2008 |
| Selective mutation for genetic algorithms SH Jung International Journal of Computer and Information Engineering 3 (8), 2060-2063, 2009 | 19 | 2009 |
| Self-repairing digital system based on state attractor convergence inspired by the recovery process of a living cell I Yang, SH Jung, KH Cho IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (2), 648-659, 2016 | 14 | 2016 |
| Parallel simulation of hierarchical modular DEVS models: A modified Time Warp approach YR Seong, SH Jung, TG Kim, KH Park International Journal in Computer Simulation 5 (3), 263-285, 1995 | 14 | 1995 |
| Defuzzification method for multishaped output fuzzy sets SH Jung, KH Cho, TG Kim, KH Park Electronics Letters 30 (9), 740-742, 1994 | 12 | 1994 |
| Dynamical characteristics of bacteria clustering by self-generated attractants MJ Kim, S Baek, SH Jung, KH Cho Computational Biology and Chemistry 31 (5-6), 328-334, 2007 | 11 | 2007 |
| Stable acquisition of fine-grained segments using batch normalization and focal loss with l1 regularization in u-net structure SH Choi, SH Jung International Journal of Fuzzy Logic and Intelligent Systems 20 (1), 59-68, 2020 | 10 | 2020 |
| Similarity analysis of actual fake fingerprints and generated fake fingerprints by dcgan SH Choi, SH Jung International Journal of Fuzzy Logic and Intelligent Systems 19 (1), 40-47, 2019 | 10 | 2019 |
| Automatic composition using training capability of artificial neural networks and chord progression JW Oh, JH Song, KH Kim, SH Jung Journal of Korea Multimedia Society 18 (11), 1358-1366, 2015 | 9 | 2015 |
| Training Method of Artificial Neural Networks for Implementation of Automatic Composition Systems JM Cho, EM Ryu, JW Oh, SH Jung KIPS Transactions on Software and Data Engineering 3 (8), 315-320, 2014 | 9 | 2014 |
