[1] Matrix Factorization Based Dimensionality Reduction Algorithms - A Comparative Study on Spectroscopic Profiling Data [J]. Analytical Chemistry, SCI, IF 8.008. JCR Q1, 中科院 1区top, 2022, doi: 10.1021/acs.analchem.2c01922, 第一作者

[2] Adaptive compressed sensing of Raman spectroscopic profiling data for discriminative tasks [J]. Talanta, SCI, IF 6.556. JCR Q1, 中科院 1区top, 2020, doi: 10.1016/j.talanta.2019.120681, 第一作者

[3] A unified classifiability analysis framework based on meta-learner and its application in spectroscopic profiling data [J]. Applied Intelligence, SCI, IF 5.019. JCR Q1, 中科院2区, 2021, doi: 10.1007/s10489-021-02810-8, 第一作者

[4] Spectroscopic Profiling-based Geographic Herb Identification by Neural Network with Random Weights [J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 中科院2区, SCI, IF 4.831. JCR Q1, 2022, doi: 10.1016/j.saa.2022.121348, 第一作者

[5] Mobilizing Clinical Decision Support to Facilitate Knowledge Translation: A Case Study in China[J]. Computers in Biology and Medicine, 2015, SCI, IF 6.698, JCR Q1, 中科院2区, doi: 10.1016/j.compbiomed.2015.02.013, 第一作者

[6] Building an Information Infrastructure of Spectroscopic Profiling Data for Food-Drug Quality and Safety Management [J]. Enterprise Information Systems, SCI/SSCI, IF 4.407, JCR Q2, 2019, doi: 10.1080/17517575.2019.1684567, 第一作者

[7] Morphological Rule-Constrained Object Detection of Key Structures in Infant Fundus Image [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, SCI, IF 3.702, JCR Q2, 2023, doi: 10.1109/TCBB.2023.3234100, 第一作者

[8] Peach variety detection using VIS-NIR spectroscopy and deep learning[J]. Computers and Electronics in Agriculture, SCI, IF 6.757, JCR Q1. 2020, 175:105553, DOI: 10.1016/j.compag.2020.105553.

[9] pyDRMetrics - A Python toolkit for dimensionality reduction quality assessment. Heliyon, Cell子刊, 2021, 7(2), SCI, IF 3.776, JCR Q2, doi:10.1016/j.heliyon.2021.e06199,第一作者

[10] pyCLAMs: An integrated Python toolkit for classifiability analysis [J]. SoftwareX, 2022, SCI, IF 2.868, JCR Q2, doi: 10.1016/j.softx.2022.101007, 第一作者

[11] Task-adaptive eigenvector-based projection (EBP) transform for compressed sensing: A case study of spectroscopic profiling sensor [J]. Analytical Science Advances. Chemistry Europe, 2021, doi: 10.1002/ansa.202100018, 第一作者

[12] Comparative Analysis Reveals Novel Changes in Plasma Metabolites and Metabolomic Networks of Infants With Retinopathy of Prematurity [J]. IOVS, SCI, IF 4.925, JCR Q1, 2022, 63(28), doi: 110.1167/iovs.63.1.28.

[13] 基于双层建模的知识表达方法在医学知识库构建中的应用[J].中国生物医学工程学报, 2017，36(5):573-579，DOI: 10.3969/j.issn.0258-8021.2017.05.009，一级期刊, 第一作者

[14] 一种面向诊疗协议的知识表达及转化方法[J].中国生物医学工程学报,2014,33(2):139-147,一级期刊, 第一作者

[15] Impurity detection of juglans using deep learning and machine vision[J]. Computers and Electronics in Agriculture, 2020, IF 6.757, JCR Q1, DOI: /10.1016/j.compag.2020.105764.

[16] 面向循证医学的知识转化的相关概念和研究进展[J]，中国全科医学, 2016, 19（19）: 2358-2364, DOI:10.2969/j.issn.1007-9572.2016.19.030，核心期刊，第一作者

[17] 基于工作流管理技术的医学知识库集成与协同应用[J],中华医院管理杂志，2016，32（11）:833-836，DOI: 10.3760/cma.j.issn.1000-6672.2016.11.013, 中华医学会系列杂志, 一级期刊，第一作者

[18] 循证临床决策支持系统概述[J]. 中国卫生质量管理, 2018 25(4), 99-104, DOI: 10.13912/j.cnki.chqm.2018.25.4.31,第一作者 & 通讯

[19] A domain-specific terminology for retinopathy of prematurity and its applications in clinical settings[J]. Journal of Healthcare Engineering. 2018. SCI, IF 3.822, JCR Q2，DOI：10.1155/2018/9237319,第一作者 & 通讯

《食药质量安全大 数据分析方法、原理与实践》，科学出版社，2023，书号：978-7-03-067133-2