| A user friendly guide to multivariate calibration and classification T Næs (No Title), 2004 | 2435 | 2004 |
| Practical NIR spectroscopy with applications in food and beverage analysis BG Osborne, T Fearn, PH Hindle, BG Osborne Longman Scientific & Technical, 1993 | 1922 | 1993 |
| Near‐infrared spectroscopy in food analysis BG Osborne Encyclopedia of analytical chemistry: applications, theory and instrumentation, 2006 | 1858 | 2006 |
| Multivariate Bayesian variable selection and prediction PJ Brown, M Vannucci, T Fearn Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1998 | 491 | 1998 |
| On orthogonal signal correction T Fearn Chemometrics and intelligent laboratory systems 50 (1), 47-52, 2000 | 414 | 2000 |
| Assessing Calibrations: SEP, RPD, RER and R2 T Fearn NIR news 13 (6), 12-13, 2002 | 360 | 2002 |
| Risk of lung cancer associated with residential radon exposure in south-west England: a case-control study S Darby, E Whitley, P Silcocks, B Thakrar, M Green, P Lomas, J Miles, ... British Journal of cancer 78 (3), 394-408, 1998 | 315 | 1998 |
| Standardisation and calibration transfer for near infrared instruments: a review T Fearn Journal of Near Infrared Spectroscopy 9 (4), 229-244, 2001 | 300 | 2001 |
| Near-infrared spectroscopy for dairy management: measurement of unhomogenized milk composition R Tsenkova, S Atanassova, K Toyoda, Y Ozaki, K Itoh, T Fearn Journal of dairy science 82 (11), 2344-2351, 1999 | 290 | 1999 |
| On the geometry of SNV and MSC T Fearn, C Riccioli, A Garrido-Varo, JE Guerrero-Ginel Chemometrics and Intelligent Laboratory Systems 96 (1), 22-26, 2009 | 265 | 2009 |
| Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration C Cui, T Fearn Chemometrics and Intelligent Laboratory Systems 182, 9-20, 2018 | 248 | 2018 |
| Bayesian wavelet regression on curves with application to a spectroscopic calibration problem PJ Brown, T Fearn, M Vannucci Journal of the American Statistical Association 96 (454), 398-408, 2001 | 217 | 2001 |
| Bayes model averaging with selection of regressors PJ Brown, M Vannucci, T Fearn Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002 | 216 | 2002 |
| A new test for ‘sufficient homogeneity’ T Fearn, M Thompson Analyst 126 (8), 1414-1417, 2001 | 210 | 2001 |
| A Bayesian approach to growth curves T Fearn Biometrika 62 (1), 89-100, 1975 | 208 | 1975 |
| Application of near infrared reflectance spectroscopy to the compositional analysis of biscuits and biscuit doughs BG Osborne, T Fearn, AR Miller, S Douglas Journal of the Science of Food and Agriculture 35 (1), 99-105, 1984 | 186 | 1984 |
| Elastic scattering spectroscopy accurately detects high grade dysplasia and cancer in Barrett’s oesophagus LB Lovat, K Johnson, GD Mackenzie, BR Clark, MR Novelli, S Davies, ... Gut 55 (8), 1078-1083, 2006 | 168 | 2006 |
| A misuse of ridge regression in the calibration of a near infrared reflectance instrument T Fearn Journal of the Royal Statistical Society: Series C (Applied Statistics) 32 …, 1983 | 159 | 1983 |
| Leukemia mortality after X-ray treatment for ankylosing spondylitis HA Weiss, SC Darby, T Fearn, R Doll Radiation research 142 (1), 1-11, 1995 | 147 | 1995 |
| Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample FL Martin, MJ German, E Wit, T Fearn, N Ragavan, HM Pollock Journal of Computational biology 14 (9), 1176-1184, 2007 | 137 | 2007 |
