| Mathematical modeling of biosensors R Baronas, F Ivanauskas, J Kulys Springer International Publishing, 2021 | 204 | 2021 |
| The influence of the enzyme membrane thickness on the response of amperometric biosensors R Baronas, F Ivanauskas, J Kulys Sensors 3 (7), 248-262, 2003 | 101 | 2003 |
| Modelling of moisture movement in wood during outdoor storage R Baronas, F Ivanauskas, I Juodeikienė, A Kajalavičius Nonlinear Analysis: Modelling and Control 6 (2), 3-14, 2001 | 96 | 2001 |
| Modelling amperometric enzyme electrode with substrate cyclic conversion R Baronas, J Kulys, F Ivanauskas Biosensors and Bioelectronics 19 (8), 915-922, 2004 | 66 | 2004 |
| Further comparisons of finite difference schemes for computational modelling of biosensors D Britz, R Baronas, E Gaidamauskaitė, F Ivanauskas Nonlinear analysis: modelling and control 14 (4), 419-433, 2009 | 50 | 2009 |
| Modelling of amperometric biosensors with rough surface of the enzyme membrane R Baronas, F Ivanauskas, J Kulys, M Sapagovas Journal of mathematical chemistry 34, 227-242, 2003 | 48 | 2003 |
| Modelling dynamics of amperometric biosensors in batch and flow injection analysis R Baronas, F Ivanauskas, J Kulys Journal of mathematical chemistry 32, 225-237, 2002 | 44 | 2002 |
| Computational modelling of biosensors with perforated and selective membranes R Baronas, J Kulys, F Ivanauskas Journal of mathematical chemistry 39, 345-362, 2006 | 43 | 2006 |
| Computer simulation of the response of amperometric biosensors in stirred and non stirred solution R Baronas, F Ivanauskas, J Kulys Nonlinear analysis: modelling and control 8 (1), 3-18, 2003 | 39 | 2003 |
| Modelling amperometric biosensors based on chemically modified electrodes R Baronas, J Kulys Sensors 8 (8), 4800-4820, 2008 | 38 | 2008 |
| An analysis of mixtures using amperometric biosensors and artificial neural networks R Baronas, F Ivanauskas, R Maslovskis, P Vaitkus Journal of Mathematical Chemistry 36, 281-297, 2004 | 38 | 2004 |
| Nonlinear effects of diffusion limitations on the response and sensitivity of amperometric biosensors R Baronas Electrochimica Acta 240, 399-407, 2017 | 35 | 2017 |
| Modelling of amperometric biosensors in the case of substrate inhibition J Kulys, R Baronas Sensors 6 (11), 1513-1522, 2006 | 35 | 2006 |
| Modelling of wood drying and an influence of lumber geometry on drying dynamics R Baronas, F Ivanauskas, M Sapagovas Nonlinear Analysis: Modelling and Control 4, 11-22, 1999 | 35 | 1999 |
| The effect of diffusion limitations on the response of amperometric biosensors with substrate cyclic conversion R Baronas, F Ivanauskas, J Kulys Journal of mathematical chemistry 35, 199-213, 2004 | 34 | 2004 |
| Mathematical Modeling of Plate–gap Biosensors with an Outer Porous Membrane R Baronas, F Ivanauskas, I Kaunietis, V Laurinavicius Sensors 6 (7), 727-745, 2006 | 31 | 2006 |
| Effect of diffusion limitations on multianalyte determination from biased biosensor response R Baronas, J Kulys, A Lančinskas, A Žilinskas Sensors 14 (3), 4634-4656, 2014 | 28 | 2014 |
| Mathematical modeling of biosensors based on an array of enzyme microreactors R Baronas, F Ivanauskas, J Kulys Sensors 6 (4), 453-465, 2006 | 27 | 2006 |
| Modelling glucose dehydrogenase-based amperometric biosensor utilizing synergistic substrates conversion V Ašeris, E Gaidamauskaitė, J Kulys, R Baronas Electrochimica Acta 146, 752-758, 2014 | 26 | 2014 |
| Locally weighted neural networks for an analysis of the biosensor response R Baronas, F Ivanauskas, R Maslovskis, M Radavičius, P Vaitkus Kybernetika 43 (1), 21-30, 2007 | 25 | 2007 |
Vytautas Aseris, PhDPartnership Professor, Vilnius University在 mif.vu.lt 的电子邮件经过验证
