| Effect of brassinolide on energy status and proline metabolism in postharvest bamboo shoot during chilling stress Z Liu, L Li, Z Luo, F Zeng, L Jiang, K Tang Postharvest Biology and Technology 111, 240-246, 2016 | 146 | 2016 |
| Direct saponification preparation and analysis of free and conjugated phytosterols in sugarcane (Saccharum officinarum L.) by reversed-phase high-performance liquid chromatography S Feng, S Liu, Z Luo, K Tang Food chemistry 181, 9-14, 2015 | 41 | 2015 |
| Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease H Shi, D Yang, K Tang, C Hu, L Li, L Zhang, T Gong, Y Cui Clinical Nutrition 41 (1), 202-210, 2022 | 26 | 2022 |
| Extraction optimization by response surface methodology: Purification and characterization of phytosterol from sugarcane (Saccharum officinarum L.) rind S Feng, Z Luo, Z Zhong, L Jiang, K Tang Journal of separation science 37 (11), 1308-1314, 2014 | 23 | 2014 |
| Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework Y Chu, K Tang, YC Hsu, T Huang, D Wang, W Li, SI Savitz, X Jiang, ... BMC Medical Informatics and Decision Making 23 (1), 131, 2023 | 13 | 2023 |
| Migration of Ti and Zn from nanoparticle modified ldpe films into food simulants H Huang, K Tang, Z Luo, H Zhang, Y Qin Food Science and Technology Research 23 (6), 827-834, 2017 | 12 | 2017 |
| Demand-driven spreading patterns of African swine fever in China J Yang, K Tang, Z Cao, DU Pfeiffer, K Zhao, Q Zhang, DD Zeng Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (6), 2021 | 11 | 2021 |
| An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage Y Ling, MB Tariq, K Tang, J Aronowski, Y Fann, SI Savitz, X Jiang, Y Kim PLOS Digital Health 3 (5), e0000493, 2024 | 2 | 2024 |
| Abnormal motION capture in aCute stroke (BIONICS): a low-cost tele-evaluation tool for automated assessment of upper extremity function in stroke patients SA Zamin, K Tang, EA Stevens, M Howard, DM Parker, A Seals, X Jiang, ... Neurorehabilitation and neural repair 37 (9), 591-602, 2023 | 2 | 2023 |
| Identifying predictors of tooth loss using a rule‐based machine learning approach: A retrospective study at university‐setting clinics CT Lee, K Zhang, W Li, K Tang, Y Ling, MF Walji, X Jiang Journal of Periodontology 94 (10), 1231-1242, 2023 | 1 | 2023 |
| Image Recognition with Deep Learning for Library Book Identification K Tang, H Lu, X Shi Pacific Rim Conference on Multimedia, 684-696, 2018 | 1 | 2018 |
| Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach CT Lee, K Zhang, W Li, K Tang, Y Ling, MF Walji, X Jiang Journal of Dentistry 144, 104921, 2024 | | 2024 |
| A Low-cost Biofeedback Tool for Automated Assessments of Upper Extremity Function in Stroke Patients SA Zamin, K Tang, EA Stevens, X Jiang, S Savitz, S Shams | | 2022 |
| Healthcare-resource-adjusted vulnerabilities towards the 2019-nCoV epidemic across China H Zhou, J Yang, K Tang, Q Zhang, Z Cao, D Pfeiffer, DD Zeng medRxiv, 2020.02. 11.20022111, 2020 | | 2020 |
| An Interpretable Causal Clustering Framework to Identify Responsive Subgroups from Clinical Trials: Application to Treatment of Intracerebral Hemorrhage Y Ling, MB Tariq, K Tang, J Aronowski, YC Fann, S Savitz, X Jiang, Y Kim Available at SSRN 4620944, 0 | | |
