World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
82
Citations
27046
World Ranking
3058
National Ranking
558

Overview

Yi-Zeng Liang is affiliated with Central South University in China and has contributed to research primarily within the field of Computer Science, with specific focus on Computational Theory and Mathematics. Their work also intersects with related subfields including Geometry and Topology, Analytical Chemistry, Cellular and Molecular Neuroscience, and Molecular Biology.

Their research topics cover a range of areas such as Computational Drug Discovery Methods, Graph Theory and Applications, Nuclear Receptors and Signaling, Spectroscopy and Chemometric Analyses, Metabolomics and Mass Spectrometry Studies, Data Mining Algorithms and Applications, and Face and Expression Recognition.

The scientist has published multiple papers, mainly in the Journal of Data Science, reflecting a consistent engagement with this venue. Notable recent papers include:

  • The Matrix Expression, Topological Index and Atomic Attribute of Molecular Topological Structure (2021, Journal of Data Science)
  • Data Mining in Chemometrics: Sub-structures Learning via Peak Combinations Searching in Mass Spectra (2021, Journal of Data Science)
  • Building an Honest Tree for Mass Spectra Classification Based on Prior Logarithm Normal Distribution (2021, Journal of Data Science)
  • Boiling Points Predictions Study via Dimension Reduction Methods: SIR, PCR and PLSR (2021, Journal of Data Science)
  • Application of Orthogonal Block Variables and Canonical Correlation Analysis in Modeling Pharmacological Activity of Alkaloids from Plant Medicines (2021, Journal of Data Science)

In addition to their own authorship, Yi-Zeng Liang has collaborated frequently with other researchers including Qiannan Hu, Kai-Tai Yi-Zeng, Yu Tang, Cheng-Jian Xu, and Ping He.

Their publication record also includes contributions to other venues such as PubMed and arXiv (Cornell University), though the majority of their output is concentrated in computational and data science journals.

Best Publications

  • Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration.

    Hongdong Li;Yizeng Liang;Qingsong Xu;Dongsheng Cao

  • Monte Carlo cross validation

    Qing-Song Xu;Yi-Zeng Liang

  • Baseline correction using adaptive iteratively reweighted penalized least squares

    Zhi-Min Zhang;Shan Chen;Yi-Zeng Liang

  • Quality control of herbal medicines

    Yi-Zeng Liang;Peishan Xie;Kelvin C. Chan

  • Heuristic evolving latent projections: resolving two-way multicomponent data. 1. Selectivity, latent-projective graph, datascope, local rank, and unique resolution

    Olav M. Kvalheim;Yi Zeng. Liang

  • Chromatographic fingerprint analysis--a rational approach for quality assessment of traditional Chinese herbal medicine.

    Peishan Xie;Sibao Chen;Yi-zeng Liang;Xianghong Wang

  • propy: a tool to generate various modes of Chou’s PseAAC

    Dong-Sheng Cao;Qing-Song Xu;Yi-Zeng Liang

  • Heuristic evolving latent projections: resolving two-way multicomponent data. 2. Detection and resolution of minor constituents

    Yi Zeng. Liang;Olav M. Kvalheim;Hans R. Keller;D. Luc. Massart

  • Support vector machines and its applications in chemistry

    Hongdong Li;Yizeng Liang;Qingsong Xu

  • An intelligent background-correction algorithm for highly fluorescent samples in Raman spectroscopy

    Zhi-Min Zhang;Shan Chen;Yi-Zeng Liang;Zhao-Xia Liu

  • Uniform design and its applications in chemistry and chemical engineering

    Yi-zeng Liang;Kai-tai Fang;Qing-song Xu

  • In vitro antioxidant and antimicrobial activities of the extract of Pericarpium Citri Reticulatae of a new Citrus cultivar and its main flavonoids

    Zhi Biao Yi;Yan Yu;Yi Zeng Liang;Bao Zeng

  • Information theory applied to chromatographic fingerprint of herbal medicine for quality control.

    Fan Gong;Yi-Zeng Liang;Pei-Shan Xie;Foo-Tim Chau

  • Spectral regions selection to improve prediction ability of PLS models by changeable size moving window partial least squares and searching combination moving window partial least squares

    Y.P. Du;Y.P. Du;Y.Z. Liang;J.H. Jiang;R.J. Berry

  • Random frog: An efficient reversible jump Markov Chain Monte Carlo-like approach for variable selection with applications to gene selection and disease classification

    Hong-Dong Li;Qing-Song Xu;Yi-Zeng Liang

  • Chemometric methods in data processing of mass spectrometry-based metabolomics: A review

    Lunzhao Yi;Naiping Dong;Yonghuan Yun;Baichuan Deng

  • libPLS: An integrated library for partial least squares regression and linear discriminant analysis

    Hong-Dong Li;Qing-Song Xu;Yi-Zeng Liang

  • Monte Carlo cross-validation for selecting a model and estimating the prediction error in multivariate calibration

    Qing-Song Xu;Yi-Zeng Liang;Yi-Ping Du

  • ChemoPy: freely available python package for computational biology and chemoinformatics

    Dong-Sheng Cao;Qing-Song Xu;Qian-Nan Hu;Yi-Zeng Liang

  • A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration.

    Yong-Huan Yun;Wei-Ting Wang;Min-Li Tan;Yi-Zeng Liang

  • Development of high-performance liquid chromatographic fingerprints for distinguishing Chinese Angelica from related umbelliferae herbs.

    Guang-Hua Lu;Kelvin C. Chan;Yi-Zeng Liang;Kelvin Sze-Yin Leung

Frequent Co-Authors

Qing-Song Xu
Qing-Song Xu Central South University
Dong-Sheng Cao
Dong-Sheng Cao Central South University
Olav M. Kvalheim
Olav M. Kvalheim University of Bergen
Ru-Qin Yu
Ru-Qin Yu Hunan University
Kai-Tai Fang
Kai-Tai Fang Beijing Normal University
Jian-Hui Jiang
Jian-Hui Jiang Hunan University
Yukihiro Ozaki
Yukihiro Ozaki Kwansei Gakuin University
Desire L. Massart
Desire L. Massart Vrije Universiteit Brussel
Junbin Gao
Junbin Gao University of Sydney
Xiaoqing Chen
Xiaoqing Chen Central South University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Chemistry in the USA opens doors to diverse and rewarding careers in science and healthcare. Many students explore paths such as pharmacy, forensic science, and forensic psychology to apply their chemical knowledge in specialized fields.

For those interested in medications and patient care, learning about how to become a pharmacist provides a clear roadmap. Pharmacists require a strong foundation in chemistry and biology, combined with professional training and licensure.

Chemistry graduates might also consider a career as an autopsy technician, joining forensic teams to assist in investigations. This role blends scientific expertise with practical laboratory skills.

Many students seek flexibility by pursuing a forensic science degree online, offering affordable and accessible education options. Online programs enable working professionals to enhance their qualifications without compromising their schedules.

Additionally, those fascinated by human behavior and criminal justice may explore an online master's degree in forensic psychology. This discipline combines psychological principles with legal contexts, often requiring a strong science base.

Best Scientists Citing Yi-Zeng Liang

Trending Scientists