| A review of variable selection methods in partial least squares regression T Mehmood, KH Liland, L Snipen, S Sæbø Chemometrics and intelligent laboratory systems 118, 62-69, 2012 | 1255 | 2012 |
| pls: Partial Least Squares and Principal Component regression, R package KH Liland, BH Mevik, R Wehrens, P Hiemstra https://cran.r-project.org/package=pls, 2021 | 635* | 2021 |
| Multivariate methods in metabolomics–from pre-processing to dimension reduction and statistical analysis KH Liland TrAC Trends in Analytical Chemistry 30 (6), 827-841, 2011 | 235 | 2011 |
| Optimal choice of baseline correction for multivariate calibration of spectra KH Liland, T Almøy, BH Mevik Applied spectroscopy 64 (9), 1007-1016, 2010 | 216 | 2010 |
| Comparison of the digestion of caseins and whey proteins in equine, bovine, caprine and human milks by human gastrointestinal enzymes RA Inglingstad, TG Devold, EK Eriksen, H Holm, M Jacobsen, KH Liland, ... Dairy science & technology 90 (5), 549-563, 2010 | 135 | 2010 |
| micropan: an R-package for microbial pan-genomics L Snipen, KH Liland BMC bioinformatics 16 (1), 1-8, 2015 | 119 | 2015 |
| Canonical partial least squares—a unified PLS approach to classification and regression problems UG Indahl, KH Liland, T Næs Journal of Chemometrics: A Journal of the Chemometrics Society 23 (9), 495-504, 2009 | 113 | 2009 |
| Model‐based pre‐processing in Raman spectroscopy of biological samples KH Liland, A Kohler, NK Afseth Journal of Raman Spectroscopy 47 (6), 643-650, 2016 | 92 | 2016 |
| Baseline: baseline correction of spectra KH Liland, BH Mevik, R Canteri | 66 | 2020 |
| Comparison of variable selection methods in partial least squares regression T Mehmood, S Sæbø, KH Liland Journal of Chemometrics 34 (6), e3226, 2020 | 58 | 2020 |
| Feasibility of NIR interactance hyperspectral imaging for on-line measurement of crude composition in vacuum packed dry-cured ham slices P Gou, E Santos-Garcés, M Høy, JP Wold, KH Liland, E Fulladosa Meat science 95 (2), 250-255, 2013 | 55 | 2013 |
| Powered partial least squares discriminant analysis KH Liland, UG Indahl Journal of Chemometrics: A Journal of the Chemometrics Society 23 (1), 7-18, 2009 | 43 | 2009 |
| Variable selection in multi-block regression A Biancolillo, KH Liland, I Måge, T Næs, R Bro Chemometrics and Intelligent Laboratory Systems 156, 89-101, 2016 | 40 | 2016 |
| Determination of O2 and CO2 transmission rate of whole packages and single perforations in micro-perforated packages for fruit and vegetables H Larsen, KH Liland Journal of Food Engineering 119 (2), 271-276, 2013 | 40 | 2013 |
| Towards on-line prediction of dry matter content in whole unpeeled potatoes using near-infrared spectroscopy T Helgerud, JP Wold, MB Pedersen, KH Liland, S Ballance, SH Knutsen, ... Talanta 143, 138-144, 2015 | 36 | 2015 |
| Customized baseline correction KH Liland, EO Rukke, EF Olsen, T Isaksson Chemometrics and Intelligent Laboratory Systems 109 (1), 51-56, 2011 | 36 | 2011 |
| Comparing K-mer based methods for improved classification of 16S sequences H Vinje, KH Liland, T Almøy, L Snipen BMC bioinformatics 16 (1), 1-13, 2015 | 35 | 2015 |
| Mining online community data: The nature of ideas in online communities K Christensen, KH Liland, K Kvaal, E Risvik, A Biancolillo, J Scholderer, ... Food Quality and Preference 62, 246-256, 2017 | 32 | 2017 |
| Comparison of UV-C and Pulsed UV Light Treatments for Reduction of Salmonella, Listeria monocytogenes, and Enterohemorrhagic Escherichia coli on Eggs AL Holck, KH Liland, SM Drømtorp, M Carlehög, A McLeod Journal of food protection 81 (1), 6-16, 2018 | 29 | 2018 |
| A systematic search for discriminating sites in the 16S ribosomal RNA gene H Vinje, T Almøy, KH Liland, L Snipen Microbial informatics and experimentation 4 (1), 1-9, 2014 | 25 | 2014 |
Solve SæbøProfessor in statistics, Norwegian University of Life ScienceVerified email at nmbu.no
