World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
6886
World Ranking
6262
National Ranking
837

Overview

Lei Chen is affiliated with Shanghai Maritime University in China and has an extensive research portfolio primarily within the fields of Biochemistry, Genetics and Molecular Biology, and Medicine. Their work covers a range of topics, with significant contributions to Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Cancer Research, and Artificial Intelligence.

Chen's research interests include machine learning applications in bioinformatics, computational drug discovery methods, bioinformatics and genomic networks, cancer-related molecular mechanisms, RNA and protein synthesis mechanisms, SARS-CoV-2 and COVID-19 research, and protein structure and dynamics.

The scientist has published numerous papers in various scientific journals and has been featured repeatedly in prominent publication venues such as:

  • arXiv (Cornell University)
  • Current Bioinformatics
  • Life
  • Frontiers in Genetics
  • Mathematical Biosciences & Engineering

Some of Lei Chen's recent key research papers include:

  • "Environmental concentrations of antibiotics alter the zebrafish gut microbiome structure and potential functions" (2021, Environmental Pollution)
  • "iATC-FRAKEL: a simple multi-label web server for recognizing anatomical therapeutic chemical classes of drugs with their fingerprints only" (2020, Bioinformatics)
  • "Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway" (2021, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics)
  • "Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection" (2021, Frontiers in Cell and Developmental Biology)
  • "Prediction of Drug Side Effects with a Refined Negative Sample Selection Strategy" (2020, Computational and Mathematical Methods in Medicine)

Lei Chen collaborates frequently with several researchers, with notable co-authors including Tao Huang, Yu-Dong Cai, Yuhang Zhang, Kaiyan Feng, and Tao Zeng. These collaborations reflect a network of scientific inquiry often centered around bioinformatics and computational biology.

Best Publications

  • Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways

    Lei Chen;Yu-Hang Zhang;ShaoPeng Wang;YunHua Zhang

  • Predicting Anatomical Therapeutic Chemical (ATC) Classification of Drugs by Integrating Chemical-Chemical Interactions and Similarities

    Lei Chen;Wei-Ming Zeng;Yu-Dong Cai;Kai-Yan Feng

  • Analysis of cancer-related lncRNAs using gene ontology and KEGG pathways

    Lei Chen;Yu-Hang Zhang;Guohui Lu;Tao Huang

  • A similarity-based method for prediction of drug side effects with heterogeneous information.

    Xian Zhao;Lei Chen;Lei Chen;Jing Lu

  • Prediction of Protein Domain with mRMR Feature Selection and Analysis

    Bi-Qing Li;Le-Le Hu;Lei Chen;Kai-Yan Feng

  • Prediction of Protein-Protein Interaction Sites by Random Forest Algorithm with mRMR and IFS

    Bi-Qing Li;Kai-Yan Feng;Lei Chen;Tao Huang;Tao Huang

  • Classification and Analysis of Regulatory Pathways Using Graph Property, Biochemical and Physicochemical Property, and Functional Property

    Tao Huang;Tao Huang;Lei Chen;Yu-Dong Cai;Kuo-Chen Chou

  • Gene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification System.

    Lei Chen;Chen Chu;Jing Lu;Xiangyin Kong

  • Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy

    Lei Chen;Shaopeng Wang;Yu-Hang Zhang;Jiarui Li

  • Gene expression profiling gut microbiota in different races of humans.

    Lei Chen;Yu-Hang Zhang;Tao Huang;Yu-Dong Cai

  • iATC-NRAKEL: an efficient multi-label classifier for recognizing anatomical therapeutic chemical classes of drugs

    Jian-Peng Zhou;Lei Chen;Lei Chen;Zi-Han Guo

  • Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition

    Lei Chen;Lei Chen;Kai-Yan Feng;Yu-Dong Cai;Kuo-Chen Chou

  • Prediction and analysis of cell‑penetrating peptides using pseudo‑amino acid composition and random forest models

    Lei Chen;Lei Chen;Chen Chu;Tao Huang;Xiangyin Kong

  • Identification of Drug-Drug Interactions Using Chemical Interactions

    Lei Chen;Chen Chu;Yu-Hang Zhang;Mingyue Zheng

  • Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection.

    Lili Liu;Lei Chen;Yu-Hang Zhang;Lai Wei

  • A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes

    Lei Chen;Jing Lu;Ning Zhang;Tao Huang

  • Predicting Drug Side Effects with Compact Integration of Heterogeneous Networks

    Xian Zhao;Lei Chen;Zi-Han Guo;Tao Liu

  • Determining protein-protein functional associations by functional rules based on gene ontology and KEGG pathway.

    Yu-Hang Zhang;Yu-Hang Zhang;Tao Zeng;Lei Chen;Tao Huang

  • iATC-FRAKEL: a simple multi-label web server for recognizing anatomical therapeutic chemical classes of drugs with their fingerprints only.

    Jian-Peng Zhou;Lei Chen;Lei Chen;Tianyun Wang;Min Liu

  • Identification of compound-protein interactions through the analysis of gene ontology, KEGG enrichment for proteins and molecular fragments of compounds.

    Lei Chen;Yu-Hang Zhang;Mingyue Zheng;Tao Huang

  • Signal propagation in protein interaction network during colorectal cancer progression.

    Yang Jiang;Tao Huang;Lei Chen;Yu-Fei Gao

  • Identification of Differentially Expressed Genes between Original Breast Cancer and Xenograft Using Machine Learning Algorithms

    Deling Wang;Deling Wang;Jia-Rui Li;Yu-Hang Zhang;Lei Chen

  • Tissue Expression Difference between mRNAs and lncRNAs.

    Lei Chen;Yu-Hang Zhang;Xiaoyong Pan;Min Liu

Frequent Co-Authors

Yu-Dong Cai
Yu-Dong Cai Shanghai University
Tao Huang
Tao Huang Chinese Academy of Sciences
Xiangyin Kong
Xiangyin Kong Chinese Academy of Sciences
Ning Zhang
Ning Zhang Tsinghua University
Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Yiliang He
Yiliang He Shanghai Jiao Tong University
Frank J. Gonzalez
Frank J. Gonzalez National Institutes of Health
Wen-Xiong Wang
Wen-Xiong Wang City University of Hong Kong
Karina Yew-Hoong Gin
Karina Yew-Hoong Gin National University of Singapore
Minghong Wu
Minghong Wu Shanghai 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

Exploring Computer Science in the USA opens the door to multiple online degree and certification options, each supporting different career ambitions and timelines. For those seeking targeted skill advancement, there are easy certifications to get online. These can quickly improve your employability and help you specialize in sought-after IT fields without a multi-year commitment.

If you want to accelerate your studies, there are also shortest masters degree programs online. These allow you to earn a graduate degree in less time, making it ideal for career changers or professionals keen to upskill rapidly.

When weighing long-term value, consider the most useful graduate degrees for a strong job outlook and salary potential. Specializations like data science, cybersecurity, or information systems consistently rank highly among in-demand programs.

For those just starting out, associates degrees online offer a fast and flexible gateway into tech careers and can be a stepping stone to further education. Whatever your goals, today’s online options provide major flexibility for every stage of your computer science journey.

Best Scientists Citing Lei Chen

Trending Scientists

Recently Published Articles