He Li

发表

An Nb-doped Nickel Oxide-Carbon Nanotubes Composite- Enhanced Electrochemical DNA Biosensor for Detection of Lead(II) Ion

Yu Wang, Daiwu Chen, Fen-fang Deng, 2015, International Journal of Electrochemical Science.

Evaluation of important phenotypic parameters of tea plantations using multi-source remote sensing data

Z. Ding, Yu Wang, He Li, 2022, Frontiers in Plant Science.

Red and Blue Light Affect the Formation of Adventitious Roots of Tea Cuttings (Camellia sinensis) by Regulating Hormone Synthesis and Signal Transduction Pathways of Mature Leaves

Z. Ding, Yu Wang, W. Qian, 2022, Frontiers in Plant Science.

Prediction of Tea Polyphenols, Free Amino Acids and Caffeine Content in Tea Leaves during Wilting and Fermentation Using Hyperspectral Imaging

J. Zhang, Z. Ding, Yu Wang, 2022, Foods.

Low temperature response index for monitoring freezing injury of tea plant

Z. Ding, Yu Wang, Jiazhi Shen, 2023, Frontiers in Plant Science.

Discovery of quinazoline derivatives as novel small-molecule inhibitors targeting the programmed cell death-1/programmed cell death-ligand 1 (PD-1/PD-L1) interaction.

Jieqing Liu, Dandan Yuan, Junjie Ma, 2021, European journal of medicinal chemistry.

Time-Course Transcriptome and Phytohormonal Analysis of Blue-Light-Induced Adventitious Root Development of Tea Cuttings (Camellia sinensis (L.) Kuntze)

Z. Ding, Yu Wang, Shibo Ding, 2023, Agronomy.

A Novel Glucose Biosensor Fabricated with Electroactive Nb0.95Ti0.95O4 Nano-Composite Film

Xianwei Huang, Fenyun Yi, Youwen Tang, 2012, International Journal of Electrochemical Science.

Environmental Simulation Model for Rapid Prediction of Tea Seedling Growth

Yang Xu, Hongtao Shi, Z. Ding, 2022, Agronomy.

Full-length transcriptome and metabolism revealed the difference of callus formation of tea cutting under white, red and blue light

Haibo Wang, Z. Ding, Yu Wang, 2023, Plant Growth Regulation.

Establishment of deep learning model for the growth of tea cutting seedlings based on hyperspectral imaging technique

Z. Ding, Yu Wang, Jiazhi Shen, 2024, Scientia Horticulturae.