Assessment of recent process analytical technology (PAT) trends: a multiauthor review LL Simon, H Pataki, G Marosi, F Meemken, K Hungerbühler, A Baiker, ... Organic Process Research & Development 19 (1), 3-62, 2015 | 432 | 2015 |
Hybrid semi-parametric modeling in process systems engineering: Past, present and future M Von Stosch, R Oliveira, J Peres, SF de Azevedo Computers & Chemical Engineering 60, 86-101, 2014 | 426 | 2014 |
Selective extraction of copper, mercury, silver, and palladium ions from water using hydrophobic ionic liquids N Papaiconomou, JM Lee, J Salminen, M Von Stosch, JM Prausnitz Industrial & Engineering Chemistry Research 47 (15), 5080-5086, 2008 | 194 | 2008 |
Bioprocessing in the digital age: the role of process models H Narayanan, MF Luna, M von Stosch, MN Cruz Bournazou, G Polotti, ... Biotechnology journal 15 (1), 1900172, 2020 | 192 | 2020 |
Quality by control: Towards model predictive control of mammalian cell culture bioprocesses W Sommeregger, B Sissolak, K Kandra, M von Stosch, M Mayer, ... Biotechnology Journal 12 (7), 1600546, 2017 | 150 | 2017 |
Modeling of the burst release from PLGA micro-and nanoparticles as function of physicochemical parameters and formulation characteristics CR de Azevedo, M von Stosch, MS Costa, AM Ramos, MM Cardoso, ... International journal of pharmaceutics 532 (1), 229-240, 2017 | 102 | 2017 |
Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study M von Stosch, JM Hamelink, R Oliveira Bioprocess and biosystems engineering 39, 773-784, 2016 | 96 | 2016 |
Hybrid modeling for quality by design and PAT‐benefits and challenges of applications in biopharmaceutical industry M von Stosch, S Davy, K Francois, V Galvanauskas, JM Hamelink, ... Biotechnology journal 9 (6), 719-726, 2014 | 88 | 2014 |
Hybrid modeling in process industries J Glassey, M Von Stosch CRC Press, 2018 | 72* | 2018 |
Toward biotherapeutic product real-time quality monitoring A Guerra, M von Stosch, J Glassey Critical reviews in biotechnology 39 (3), 289-305, 2019 | 56 | 2019 |
A novel identification method for hybrid (N) PLS dynamical systems with application to bioprocesses M von Stosch, R Oliveira, J Peres, SF De Azevedo Expert Systems with Applications 38 (9), 10862-10874, 2011 | 46 | 2011 |
A bootstrap-aggregated hybrid semi-parametric modeling framework for bioprocess development J Pinto, CR de Azevedo, R Oliveira, M von Stosch Bioprocess and biosystems engineering 42, 1853-1865, 2019 | 45 | 2019 |
Intensified design of experiments for upstream bioreactors M von Stosch, MJ Willis Engineering in Life Sciences 17 (11), 1173-1184, 2017 | 43 | 2017 |
When is an in silico representation a digital twin? A biopharmaceutical industry approach to the digital twin concept RMC Portela, C Varsakelis, A Richelle, N Giannelos, J Pence, S Dessoy, ... Digital Twins: Tools and Concepts for Smart Biomanufacturing, 35-55, 2021 | 41 | 2021 |
Comparison of modeling methods for DoE‐based holistic upstream process characterization B Bayer, M von Stosch, G Striedner, M Duerkop Biotechnology Journal 15 (5), 1900551, 2020 | 38 | 2020 |
Hybrid modeling—a key enabler towards realizing digital twins in biopharma? M Sokolov, M von Stosch, H Narayanan, F Feidl, A Butté Current Opinion in Chemical Engineering 34, 100715, 2021 | 36 | 2021 |
Simultaneous parameter identification and discrimination of the nonparametric structure of hybrid semi-parametric models MJ Willis, M von Stosch Computers & Chemical Engineering 104, 366-376, 2017 | 33 | 2017 |
Hybrid modeling framework for process analytical technology: Application to Bordetella pertussis cultures M Von Stosch, R Oliveria, J Peres, SF de Azevedo Biotechnology progress 28 (1), 284-291, 2012 | 33 | 2012 |
Knowledge transfer across cell lines using hybrid Gaussian process models with entity embedding vectors C Hutter, M von Stosch, MN Cruz Bournazou, A Butté Biotechnology and Bioengineering 118 (11), 4389-4401, 2021 | 32 | 2021 |
Toward intensifying design of experiments in upstream bioprocess development: An industrial Escherichia coli feasibility study M von Stosch, JM Hamelink, R Oliveira Biotechnology Progress 32 (5), 1343-1352, 2016 | 29 | 2016 |