| Sparse Bayesian learning approach for baseline correction H Li, J Dai, T Pan, C Chang, HC So Chemometrics and Intelligent Laboratory Systems 204, 104088, 2020 | 21 | 2020 |
| NIR spectral feature selection using lasso method and its application in the classification analysis LI Yu-Qiang, P Tian-hong, LI Hao-Ran, Z Xiao-bo Spectroscopy and Spectral Analysis 39 (12), 3809-3815, 2019 | 18 | 2019 |
| Non‐invasive quality analysis of thawed tuna using near infrared spectroscopy with baseline correction Y Li, T Pan, H Li, S Chen Journal of Food Process Engineering 43 (8), e13445, 2020 | 16 | 2020 |
| High-throughput screening assay for the environmental water samples using cellular response profiles T Pan, H Li, S Khare, B Huang, DY Huang, W Zhang, S Gabos Ecotoxicology and Environmental Safety 114, 134-142, 2015 | 15 | 2015 |
| Fast burst-sparsity learning-based baseline correction (FBSL-BC) algorithm for signals of analytical instruments H Li, S Chen, J Dai, X Zou, T Chen, T Pan, M Holmes Analytical Chemistry 94 (12), 5113-5121, 2022 | 8 | 2022 |
| A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection H Li, P Wu, J Dai, X Zou Analytica Chimica Acta 1279, 341782, 2023 | 7 | 2023 |
| Spectral variable selection based on least absolute shrinkage and selection operator with ridge-adding homotopy H Li, J Dai, J Xiao, X Zou, T Chen, M Holmose Chemometrics and Intelligent Laboratory Systems 221, 104487, 2022 | 7 | 2022 |
| Development of Physiological Parameters Monitoring System using the Internet of Things. H Li, T Pan International Journal of Online Engineering 13 (9), 2017 | 6 | 2017 |
| Parameter estimation for non-uniformly sampled Wiener systems with dead-zone Nonlinearities R Liu, H Li, T Pan, Z Li IFAC-PapersOnLine 48 (8), 789-794, 2015 | 5 | 2015 |
| Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea H Li, P Wu, J Dai, T Pan, M Holmes, T Chen, X Zou Journal of Food Composition and Analysis 123, 105590, 2023 | 4 | 2023 |
| Quantitative near infrared spectroscopic analysis of Tricholoma matsutake based on information extraction using the elastic net Y Li, T Pan, H Li, S Chen, G Li Journal of Near Infrared Spectroscopy 28 (3), 125-132, 2020 | 4 | 2020 |
| Reheated steam temperature control in thermal power plant using integral-linear active disturbance rejection control H Li, T Pan, Z Li, S Ding, S Guo, MK Ahsan 2017 11th Asian Control Conference (ASCC), 2636-2640, 2017 | 3 | 2017 |
| Functional principal component analysis for near-infrared spectral data: a case study on Tricholoma matsutakeis H Li, T Pan, Y Li, S Chen, G Li International Journal of Food Engineering 16 (8), 20190386, 2020 | 2 | 2020 |
| Ridge-Adding Homotopy Approach for l1-norm Minimization Problems H Li, B Wang, J Dai, T Pan IEICE TRANSACTIONS on Information and Systems 103 (6), 1380-1387, 2020 | 2 | 2020 |
| Local Smoothing Optimization Penalized Least Squares: Application to Spectrum Baseline Correction Y Li, T Pan, H Li, S Chen 第 31 届中国过程控制会议 (CPCC 2020) 摘要集, 2020 | | 2020 |
| Chemical Recognition using the Time-dependent Cellular Response Profiles J Chen, T Pan, H Li, K Xu, Z Li IFAC-PapersOnLine 49 (7), 195-199, 2016 | | 2016 |
Tianhong PanAnhui University, China在 ahu.edu.cn 的电子邮件经过验证
