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Journal of Nanoscience and Nanotechnology|July 27, 2016
Rheological Behavior of a Novel Organic-Inorganic Hybrid: Micro/Nano-Tin Fluorophosphate Glass-PolycarbonateJing Yang, Huiwen Liu, Honglin Yu, et al.Journal of Nanoscience and Nanotechnology|July 26, 2016
Dynamic Mechanical Properties, Crystallization Behavior and Morphology of Nanoscale Tin Fluorophosphate Glass/Polyamide 66 Hybrid MaterialsHuiwen Liu, Jing Yang, Honglin Yu, et al.Nanomaterials (Basel, Switzerland)|December 21, 2018
Ultrafast Synthesis of Ni-MOF in One Minute by Ball MillingRen Zhang, Cheng-An Tao, Rui Chen, et al.China CDC Weekly|April 3, 2023
Hematological Parameters in the First Trimester and the Risk of Gestational Diabetes Mellitus - Beijing, China, 2017-2020Xinyi Lyu, Jiajing Jia, Haishan Yang, et al.Journal of Healthcare Engineering|April 25, 2022
Machine Learning-Based Prediction Model of Preterm Birth Using Electronic Health RecordQi Sun, Xiaoxuan Zou, Yousheng Yan, et al.Diabetes Research and Clinical Practice|January 24, 2024
Maternal fasting serum C-peptide concentrations in the first and second trimesters and subsequent risk of gestational diabetes mellitus: A nested case-control study among Chinese womenChuanyu Zhao, Haiyan Liu, Yuzhi Deng, et al.The British Journal of Nutrition|June 5, 2026
High hemoglobin concentrations across pregnancy and risks of preterm birth and low birth weight: A retrospective cohort studyJiaxin Li, Yinzhu Zhao, Chuanyu Zhao, et al.BMC Pregnancy and Childbirth|May 1, 2026
Investigation of optimal range of gestational weight gain for twin pregnancies according to Chinese specific body mass index categoriesYue Xiao, Yao Cheng, Xiaoxuan Zou, et al.Occupational and Environmental Medicine|June 15, 2025
Maternal exposures to ambient carbon particulate pollution and the risk of gestational hypertension or pre-eclampsia: a retrospective cohort study in Beijing, China, 2014-2018Mengyao Li, Yinzhu Zhao, Hongbing Xu, et al.Hypertension (Dallas, Tex. : 1979)|February 11, 2026
DNA Methylation Markers for Pregnancy Hypertension via Machine Learning MethodsJueming Lei, Hanbin Wu, Haiyan Liu, et al.Pageof 2