| Column characterization and selection systems in reversed-phase high-performance liquid chromatography P Žuvela, M Skoczylas, J Jay Liu, T Ba̧czek, R Kaliszan, MW Wong, ... Chemical reviews 119 (6), 3674-3729, 2019 | 253 | 2019 |
| Prediction of corrosion inhibition efficiency of pyridines and quinolines on an iron surface using machine learning-powered quantitative structure-property relationships CT Ser, P Žuvela, MW Wong Applied Surface Science 512, 145612, 2020 | 95 | 2020 |
| Silver-lactoferrin nanocomplexes as a potent antimicrobial agent P Pomastowski, M Sprynskyy, P Zuvela, K Rafinska, M Milanowski, JJ Liu, ... Journal of the American Chemical Society 138 (25), 7899-7909, 2016 | 79 | 2016 |
| Interpretation of ANN‐based QSAR models for prediction of antioxidant activity of flavonoids P Žuvela, J David, MW Wong Journal of computational chemistry 39 (16), 953-963, 2018 | 48 | 2018 |
| Molecular descriptor subset selection in theoretical peptide quantitative structure–retention relationship model development using nature-inspired optimization algorithms P Zuvela, JJ Liu, K Macur, T Baczek Analytical chemistry 87 (19), 9876-9883, 2015 | 47 | 2015 |
| Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability? M Lovrić, K Pavlović, P Žuvela, A Spataru, B Lučić, R Kern, MW Wong Journal of chemometrics 35 (7-8), e3349, 2021 | 46 | 2021 |
| Fiber-optic Raman spectroscopy with nature-inspired genetic algorithms enhances real-time in vivo detection and diagnosis of nasopharyngeal carcinoma P Zuvela, K Lin, C Shu, W Zheng, CM Lim, Z Huang Analytical chemistry 91 (13), 8101-8108, 2019 | 38 | 2019 |
| Non-linear quantitative structure–activity relationships modelling, mechanistic study and in-silico design of flavonoids as potent antioxidants P Žuvela, J David, X Yang, D Huang, MW Wong International journal of molecular sciences 20 (9), 2328, 2019 | 35 | 2019 |
| Ensemble learning approaches to data imbalance and competing objectives in design of an industrial machine vision system P Zuvela, M Lovric, A Yousefian-Jazi, JJ Liu Industrial & Engineering Chemistry Research 59 (10), 4636-4645, 2020 | 23 | 2020 |
| Development of gradient retention model in ion chromatography. Part I: Conventional QSRR approach Š Ukić, M Novak, P Žuvela, N Avdalović, Y Liu, B Buszewski, T Bolanča Chromatographia 77, 985-996, 2014 | 23 | 2014 |
| Exploiting non-linear relationships between retention time and molecular structure of peptides originating from proteomes and comparing three multivariate approaches P Žuvela, K Macur, JJ Liu, T Bączek Journal of Pharmaceutical and Biomedical Analysis 127, 94-100, 2016 | 20 | 2016 |
| Non-target analysis of phospholipid and sphingolipid species in egg yolk using liquid chromatography/triple quadrupole tandem mass spectrometry B Buszewski, J Walczak, P Žuvela, JJ Liu Journal of Chromatography A 1487, 179-186, 2017 | 19 | 2017 |
| Interactions of zinc aqua complexes with ovalbumin at the forefront of the Zn2+/ZnO-OVO hybrid complex formation mechanism B Buszewski, P Žuvela, A Król-Górniak, V Railean-Plugaru, A Rogowska, ... Applied Surface Science 542, 148641, 2021 | 17 | 2021 |
| Lipophilicity Determination of Antifungal Isoxazolo[3,4-b]pyridin-3(1H)-ones and Their N1-Substituted Derivatives with Chromatographic and Computational Methods K Ciura, J Fedorowicz, F Andrić, P Žuvela, KE Greber, P Baranowski, ... Molecules 24 (23), 4311, 2019 | 16 | 2019 |
| Mechanistic chromatographic column characterization for the analysis of flavonoids using quantitative structure-retention relationships based on density functional theory B Buszewski, P Žuvela, G Sagandykova, J Walczak-Skierska, ... International Journal of Molecular Sciences 21 (6), 2053, 2020 | 15 | 2020 |
| Target-based drug discovery through inversion of quantitative structure-drug-property relationships and molecular simulation: CA IX-sulphonamide complexes P Žuvela, JJ Liu, M Yi, PP Pomastowski, G Sagandykova, M Belka, ... Journal of enzyme inhibition and medicinal chemistry 33 (1), 1430-1443, 2018 | 15 | 2018 |
| Affinity of Antifungal Isoxazolo[3,4-b]pyridine-3(1H)-Ones to Phospholipids in Immobilized Artificial Membrane (IAM) Chromatography K Ciura, J Fedorowicz, P Žuvela, M Lovrić, H Kapica, P Baranowski, ... Molecules 25 (20), 4835, 2020 | 13 | 2020 |
| Quantitative structure–retention relationships with non-linear programming for prediction of chromatographic elution order JJ Liu, A Alipuly, T Bączek, MW Wong, P Žuvela International journal of molecular sciences 20 (14), 3443, 2019 | 11 | 2019 |
| Development of an automated method for modelling of bio-crudes originating from biofuel production processes based on thermochemical conversion B Brigljević, P Žuvela, JJ Liu, HC Woo, JH Choi Applied energy 215, 670-678, 2018 | 9 | 2018 |
| Assessment of column selection systems using Partial Least Squares P Žuvela, JJ Liu, A Plenis, T Bączek Journal of Chromatography A 1420, 74-82, 2015 | 9 | 2015 |
J. Jay LiuDepartment of Chemical Engineering, Pukyong National UniversityAdresse e-mail validée de pknu.ac.kr
