| 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 | 404 | 2018 |
| 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 | 266 | 2005 |
| Discriminant analysis is an inappropriate method of authentication OY Rodionova, AV Titova, AL Pomerantsev TrAC Trends in Analytical Chemistry 78, 17-22, 2016 | 214 | 2016 |
| Concept and role of extreme objects in PCA/SIMCA AL Pomerantsev, OY Rodionova Journal of Chemometrics 28 (5), 429-438, 2014 | 165 | 2014 |
| 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 | 157 | 2017 |
| 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, 5891-5899, 2017 | 156 | 2017 |
| Rigorous and compliant approaches to one-class classification OY Rodionova, P Oliveri, AL Pomerantsev Chemometrics and Intelligent Laboratory Systems 159, 89-96, 2016 | 147 | 2016 |
| 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, 6691-6704, 2018 | 146 | 2018 |
| Process analytical technology: a critical view of the chemometricians AL Pomerantsev, OY Rodionova Journal of Chemometrics 26 (6), 299-310, 2012 | 146 | 2012 |
| NIR-based approach to counterfeit-drug detection OY Rodionova, AL Pomerantsev TrAC Trends in Analytical Chemistry 29 (8), 795-803, 2010 | 109 | 2010 |
| Chemometrics: achievements and prospects OY Rodionova, AL Pomerantsev Russian Chemical Reviews 75 (4), 271, 2006 | 108 | 2006 |
| Multiclass partial least squares discriminant analysis: Taking the right way—A critical tutorial AL Pomerantsev, OY Rodionova Journal of Chemometrics 32 (8), e3030, 2018 | 85 | 2018 |
| Non‐linear regression analysis: new approach to traditional implementations EV Bystritskaya, AL Pomerantsev, OY Rodionova Journal of Chemometrics 14 (5‐6), 667-692, 2000 | 72 | 2000 |
| 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 | 66 | 2017 |
| Chemometric aided NIR portable instrument for rapid assessment of medicine quality YV Zontov, KS Balyklova, AV Titova, OY Rodionova, AL Pomerantsev Journal of pharmaceutical and biomedical analysis 131, 87-93, 2016 | 54 | 2016 |
| On the type II error in SIMCA method AL Pomerantsev, OY Rodionova Journal of Chemometrics 28 (6), 518-522, 2014 | 53 | 2014 |
| Quality control of packed raw materials in pharmaceutical industry OY Rodionova, YV Sokovikov, AL Pomerantsev analytica chimica acta 642 (1-2), 222-227, 2009 | 52 | 2009 |
| Chemometric tools for food fraud detection: The role of target class in non-targeted analysis OY Rodionova, AL Pomerantsev Food chemistry 317, 126448, 2020 | 51 | 2020 |
| Hard and soft methods for prediction of antioxidants' activity based on the DSC measurements AL Pomerantsev, OY Rodionova Chemometrics and Intelligent Laboratory Systems 79 (1-2), 73-83, 2005 | 50 | 2005 |
| 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 | 49 | 2020 |
