| Industrial process monitoring in the big data/industry 4.0 era: From detection, to diagnosis, to prognosis MS Reis, G Gins Processes 5 (3), 35, 2017 | 237 | 2017 |
| How can SMEs benefit from big data? Challenges and a path forward S Coleman, R Göb, G Manco, A Pievatolo, X Tort‐Martorell, MS Reis Quality and Reliability Engineering International 32 (6), 2151-2164, 2016 | 228 | 2016 |
| Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR) TJ Rato, MS Reis Chemometrics and Intelligent Laboratory Systems 125, 101-108, 2013 | 156 | 2013 |
| A systematic comparison of PCA‐based statistical process monitoring methods for high‐dimensional, time‐dependent processes T Rato, M Reis, E Schmitt, M Hubert, B De Ketelaere AIChE Journal 62 (5), 1478-1493, 2016 | 103 | 2016 |
| Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives HB Grangeia, C Silva, SP Simões, MS Reis European journal of pharmaceutics and Biopharmaceutics 147, 19-37, 2020 | 101 | 2020 |
| Defining the structure of DPCA models and its impact on process monitoring and prediction activities TJ Rato, MS Reis Chemometrics and Intelligent Laboratory Systems 125, 74-86, 2013 | 76 | 2013 |
| Madeira wine ageing prediction based on different analytical techniques: UV–vis, GC-MS, HPLC-DAD AC Pereira, MS Reis, PM Saraiva, JC Marques Chemometrics and Intelligent Laboratory Systems 105 (1), 43-55, 2011 | 73 | 2011 |
| Analysis and assessment of Madeira wine ageing over an extended time period through GC–MS and chemometric analysis AC Pereira, MS Reis, PM Saraiva, JC Marques Analytica Chimica Acta 660 (1-2), 8-21, 2010 | 68 | 2010 |
| Advantage of using decorrelated residuals in dynamic principal component analysis for monitoring large-scale systems TJ Rato, MS Reis Industrial & Engineering Chemistry Research 52 (38), 13685-13698, 2013 | 62 | 2013 |
| Recent trends on hybrid modeling for Industry 4.0 J Sansana, MN Joswiak, I Castillo, Z Wang, R Rendall, LH Chiang, ... Computers & Chemical Engineering 151, 107365, 2021 | 60 | 2021 |
| Data-driven methods for batch data analysis–A critical overview and mapping on the complexity scale R Rendall, LH Chiang, MS Reis Computers & Chemical Engineering 124, 1-13, 2019 | 49 | 2019 |
| Wavelet texture analysis of on-line acquired images for paper formation assessment and monitoring MS Reis, A Bauer Chemometrics and Intelligent Laboratory Systems 95 (2), 129-137, 2009 | 49 | 2009 |
| Multiscale statistical process control using wavelet packets MS Reis, PM Saraiva, BR Bakshi AIChE journal 54 (9), 2366-2378, 2008 | 49 | 2008 |
| Translation-invariant multiscale energy-based PCA for monitoring batch processes in semiconductor manufacturing TJ Rato, J Blue, J Pinaton, MS Reis IEEE Transactions on Automation Science and Engineering 14 (2), 894-904, 2016 | 48 | 2016 |
| Quality control of food products using image analysis and multivariate statistical tools AC Pereira, MS Reis, PM Saraiva Industrial & Engineering Chemistry Research 48 (2), 988-998, 2009 | 46 | 2009 |
| Integration of data uncertainty in linear regression and process optimization MS Reis, PM Saraiva AIChE journal 51 (11), 3007-3019, 2005 | 46 | 2005 |
| Assessing the value of information of data‐centric activities in the chemical processing industry 4.0 MS Reis, R Kenett AIChE Journal 64 (11), 3868-3881, 2018 | 45 | 2018 |
| Challenges and future research directions MS Reis, RD Braatz, LH Chiang Chemical Engineering Progress 112 (3), 46-50, 2016 | 44 | 2016 |
| Multiscale statistical process control with multiresolution data MS Reis, PM Saraiva AIChE journal 52 (6), 2107-2119, 2006 | 44 | 2006 |
| Denoising and signal-to-noise ratio enhancement: wavelet transform and Fourier transform MS Reis, PM Saraiva, BR Bakshi Elsevier, 2009 | 40 | 2009 |
PM Saraivauniversity of coimbra or mit or qual or nova imsAdresse e-mail validée de eq.uc.pt
