| Practical guide to chemometrics P Gemperline CRC press, 2006 | 679 | 2006 |
| Nonlinear multivariate calibration using principal components regression and artificial neural networks PJ Gemperline, JR Long, VG Gregoriou Analytical Chemistry 63 (20), 2313-2323, 1991 | 426 | 1991 |
| A priori estimates of the elution profiles of the pure components in overlapped liquid chromatography peaks using target factor analysis PJ Gemperline Journal of Chemical Information and Computer Sciences 24 (4), 206-212, 1984 | 312 | 1984 |
| Identification of single bacterial cells in aqueous solution using confocal laser tweezers Raman spectroscopy C Xie, J Mace, MA Dinno, YQ Li, W Tang, RJ Newton, PJ Gemperline Analytical chemistry 77 (14), 4390-4397, 2005 | 297 | 2005 |
| Spectroscopic calibration and quantitation using artificial neural networks JR Long, VG Gregoriou, PJ Gemperline Analytical Chemistry 62 (17), 1791-1797, 1990 | 245 | 1990 |
| Computation of the range of feasible solutions in self-modeling curve resolution algorithms PJ Gemperline Analytical chemistry 71 (23), 5398-5404, 1999 | 196 | 1999 |
| Mixture analysis using factor analysis. II: self‐modeling curve resolution JC Hamilton, PJ Gemperline Journal of chemometrics 4 (1), 1-13, 1990 | 195 | 1990 |
| Advantages of soft versus hard constraints in self-modeling curve resolution problems. Alternating least squares with penalty functions PJ Gemperline, E Cash Analytical Chemistry 75 (16), 4236-4243, 2003 | 187 | 2003 |
| Raw materials testing using soft independent modeling of class analogy analysis of near-infrared reflectance spectra PJ Gemperline, LD Webber, FO Cox Analytical Chemistry 61 (2), 138-144, 1989 | 147 | 1989 |
| Target transformation factor analysis with linear inequality constraints applied to spectroscopic-chromatographic data PJ Gemperline Analytical Chemistry 58 (13), 2656-2663, 1986 | 128 | 1986 |
| Mixture analysis using factor analysis I: Calibration and quantitation PJ Gemperline Journal of chemometrics 3 (4), 549-568, 1989 | 104 | 1989 |
| Combination of the Mahalanobis distance and residual variance pattern recognition techniques for classification of near-infrared reflectance spectra NK Shah, PJ Gemperline Analytical Chemistry 62 (5), 465-470, 1990 | 103 | 1990 |
| Near-IR detection of polymorphism and process-related substances PK Aldridge, CL Evans, HW Ward, ST Colgan, N Boyer, PJ Gemperline Analytical Chemistry 68 (6), 997-1002, 1996 | 95 | 1996 |
| Wavelength selection and optimization of pattern recognition methods using the genetic algorithm BM Smith, PJ Gemperline Analytica Chimica Acta 423 (2), 167-177, 2000 | 93 | 2000 |
| Classification of near-infrared spectra using wavelength distances: comparison to the Mahalanobis distance and residual variance methods PJ Gemperline, NR Boyer Analytical Chemistry 67 (1), 160-166, 1995 | 88 | 1995 |
| Generalized rank annihilation method using similarity transformations S Li, JC Hamilton, PJ Gemperline Analytical Chemistry 64 (6), 599-607, 1992 | 88 | 1992 |
| Filter design algorithm for multi-variate optical computing ML Myrick, OO Soyemi, PJ Gemperline US Patent 7,138,156, 2006 | 87 | 2006 |
| Principal component analysis, trace elements, and blue crab shell disease PJ Gemperline, KH Miller, TL West, JE Weinstein, JC Hamilton, JT Bray Analytical Chemistry 64 (9), 523A-532A, 1992 | 87 | 1992 |
| Design and testing of a multivariate optical element: the first demonstration of multivariate optical computing for predictive spectroscopy O Soyemi, D Eastwood, L Zhang, H Li, J Karunamuni, P Gemperline, ... Analytical Chemistry 73 (6), 1069-1079, 2001 | 81 | 2001 |
| A near-infrared reflectance analysis method for the noninvasive identification of film-coated and non-film-coated, blister-packed tablets MA Dempster, BF MacDonald, PJ Gemperline, NR Boyer Analytica chimica acta 310 (1), 43-51, 1995 | 69 | 1995 |
