| Trends in chemometrics: Food authentication, microbiology, and effects of processing D Granato, P Putnik, DB Kovačević, JS Santos, V Calado, RS Rocha, ... Comprehensive Reviews in Food Science and Food Safety 17 (3), 663-677, 2018 | 495 | 2018 |
| Discriminant analysis is an inappropriate method of authentication OY Rodionova, AV Titova, AL Pomerantsev TrAC Trends in Analytical Chemistry 78, 17-22, 2016 | 290 | 2016 |
| NIR spectrometry for counterfeit drug detection: a feasibility study OY Rodionova, LP Houmøller, AL Pomerantsev, P Geladi, J Burger, ... Analytica Chimica Acta 549 (1-2), 151-158, 2005 | 279 | 2005 |
| DD-SIMCA–a MATLAB GUI tool for data driven SIMCA approach YV Zontov, OY Rodionova, SV Kucheryavskiy, AL Pomerantsev Chemometrics and Intelligent Laboratory Systems 167, 23-28, 2017 | 248 | 2017 |
| Chemometrics in analytical chemistry—part II: modeling, validation, and applications RG Brereton, J Jansen, J Lopes, F Marini, A Pomerantsev, O Rodionova, ... Analytical and bioanalytical chemistry 410 (26), 6691-6704, 2018 | 213 | 2018 |
| Concept and role of extreme objects in PCA/SIMCA AL Pomerantsev, OY Rodionova Journal of Chemometrics 28 (5), 429-438, 2014 | 211 | 2014 |
| Chemometrics in analytical chemistry—part I: history, experimental design and data analysis tools RG Brereton, J Jansen, J Lopes, F Marini, A Pomerantsev, O Rodionova, ... Analytical and Bioanalytical Chemistry 409 (25), 5891-5899, 2017 | 206 | 2017 |
| Rigorous and compliant approaches to one-class classification OY Rodionova, P Oliveri, AL Pomerantsev Chemometrics and Intelligent Laboratory Systems 159, 89-96, 2016 | 198 | 2016 |
| Process analytical technology: a critical view of the chemometricians AL Pomerantsev, OY Rodionova Journal of Chemometrics 26 (6), 299-310, 2012 | 166 | 2012 |
| Multiclass partial least squares discriminant analysis: Taking the right way—A critical tutorial AL Pomerantsev, OY Rodionova Journal of Chemometrics 32 (8), e3030, 2018 | 137 | 2018 |
| Chemometrics: achievements and prospects OY Rodionova, AL Pomerantsev Russian Chemical Reviews 75 (4), 271, 2006 | 125 | 2006 |
| NIR-based approach to counterfeit-drug detection OY Rodionova, AL Pomerantsev TrAC Trends in Analytical Chemistry 29 (8), 795-803, 2010 | 114 | 2010 |
| Efficient tools for principal component analysis of complex data—A tutorial O Rodionova, S Kucheryavskiy, A Pomerantsev Chemometrics and Intelligent Laboratory Systems 213, 104304, 2021 | 92 | 2021 |
| PLS-DA–A MATLAB GUI tool for hard and soft approaches to partial least squares discriminant analysis YV Zontov, OY Rodionova, SV Kucheryavskiy, AL Pomerantsev Chemometrics and Intelligent Laboratory Systems 203, 104064, 2020 | 87 | 2020 |
| Chemometric tools for food fraud detection: The role of target class in non-targeted analysis OY Rodionova, AL Pomerantsev Food Chemistry 317, 126448, 2020 | 78 | 2020 |
| Authentication of juices from antioxidant and chemical perspectives: A feasibility quality control study using chemometrics M Fidelis, JS Santos, ALK Coelho, OY Rodionova, A Pomerantsev, ... Food Control 73, 796-805, 2017 | 78 | 2017 |
| Non‐linear regression analysis: new approach to traditional implementations EV Bystritskaya, AL Pomerantsev, OY Rodionova Journal of Chemometrics 14 (5‐6), 667-692, 2000 | 78 | 2000 |
| New trends in qualitative analysis: Performance, optimization, and validation of multi-class and soft models AL Pomerantsev, OY Rodionova TrAC Trends in Analytical Chemistry 143, 116372, 2021 | 76 | 2021 |
| Popular decision rules in SIMCA: Critical review AL Pomerantsev, OY Rodionova Journal of Chemometrics 34 (8), e3250, 2020 | 75 | 2020 |
| On the type II error in SIMCA method AL Pomerantsev, OY Rodionova Journal of Chemometrics 28 (6), 518-522, 2014 | 62 | 2014 |
