| Future trends in process automation SL Jämsä-Jounela Annual Reviews in Control 31 (2), 211-220, 2007 | 196 | 2007 |
| Industry 4.0 based process data analytics platform: A waste-to-energy plant case study JC Kabugo, SL Jämsä-Jounela, R Schiemann, C Binder International journal of electrical power & energy systems 115, 105508, 2020 | 154 | 2020 |
| State of the art and challenges in mineral processing control D Hodouin, SL Jämsä-Jounela, MT Carvalho, L Bergh Control Engineering Practice 9 (9), 995-1005, 2001 | 150 | 2001 |
| Intelligent control system of an industrial lime kiln process M Järvensivu, K Saari, SL Jämsä-Jounela Control Engineering Practice 9 (6), 589-606, 2001 | 129 | 2001 |
| Networked control with delay measurement and estimation N Vatanski, JP Georges, C Aubrun, E Rondeau, SL Jämsä-Jounela Control Engineering Practice 17 (2), 231-244, 2009 | 126 | 2009 |
| A process monitoring system based on the Kohonen self-organizing maps SL Jämsä-Jounela, M Vermasvuori, P Endén, S Haavisto Control Engineering Practice 11 (1), 83-92, 2003 | 114 | 2003 |
| An online application of dynamic PLS to a dearomatization process T Komulainen, M Sourander, SL Jämsä-Jounela Computers & Chemical Engineering 28 (12), 2611-2619, 2004 | 109 | 2004 |
| Optimal planning of municipal solid waste management systems in an integrated supply chain network M Mohammadi, SL Jämsä-Jounela, I Harjunkoski Computers & Chemical Engineering 123, 155-169, 2019 | 105 | 2019 |
| Current status and future trends in the automation of mineral and metal processing SL Jämsä-Jounela Control Engineering Practice 9 (9), 1021-1035, 2001 | 88 | 2001 |
| Fault propagation analysis of oscillations in control loops using data-driven causality and plant connectivity R Landman, J Kortela, Q Sun, SL Jämsä-Jounela Computers & Chemical Engineering 71, 446-456, 2014 | 52 | 2014 |
| Level control strategies for flotation cells P Kämpjärvi, SL Jämsä-Jounela Minerals Engineering 16 (11), 1061-1068, 2003 | 50 | 2003 |
| Hybrid approach to casual analysis on a complex industrial system based on transfer entropy in conjunction with process connectivity information R Landman, SL Jämsä-Jounela Control Engineering Practice 53, 14-23, 2016 | 49 | 2016 |
| Evaluation of control performance: methods, monitoring tool and applications in a flotation plant SL Jämsä-Jounela, R Poikonen, N Vatanski, A Rantala Minerals Engineering 16 (11), 1069-1074, 2003 | 49 | 2003 |
| Dynamic modelling of an industrial copper solvent extraction process T Komulainen, P Pekkala, A Rantala, SL Jämsä-Jounela Hydrometallurgy 81 (1), 52-61, 2006 | 45 | 2006 |
| An autonomous valve stiction detection system based on data characterization A Zakharov, E Zattoni, L Xie, OP Garcia, SL Jämsä-Jounela Control Engineering Practice 21 (11), 1507-1518, 2013 | 44 | 2013 |
| Fault detection and isolation of an on-line analyzer for an ethylene cracking process P Kämpjärvi, M Sourander, T Komulainen, N Vatanski, M Nikus, ... Control engineering practice 16 (1), 1-13, 2008 | 44 | 2008 |
| An embedded fault detection, isolation and accommodation system in a model predictive controller for an industrial benchmark process M Kettunen, P Zhang, SL Jämsä-Jounela Computers & Chemical Engineering 32 (12), 2966-2985, 2008 | 43 | 2008 |
| Control of pulp levels in flotation cells SL Jämsä-Jounela, M Dietrich, K Halmevaara, O Tiili Control Engineering Practice 11 (1), 73-81, 2003 | 41 | 2003 |
| Ore type based expert systems in mineral processing plants SL JämsäJounela, S Laine, E Ruokonen Particle & Particle Systems Characterization: Measurement and Description of …, 1998 | 35 | 1998 |
| Dynamic modeling of combustion in a BioGrate furnace: The effect of operation parameters on biomass firing A Boriouchkine, A Zakharov, SL Jämsä-Jounela Chemical Engineering Science 69 (1), 669-678, 2012 | 31 | 2012 |
Jukka KortelaAalto University School of Chemical Technology在 aalto.fi 的电子邮件经过验证
