Chih Lee

574 citations
18 papers · 396 · h-index 9

Impact in

    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Biomedical Text Mining and Ontologies
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Epigenetics and DNA Methylation

Papers in

    • Biomedical Text Mining and Ontologies 6
    • Gene expression and cancer classification 5
    • Genomics and Chromatin Dynamics 4
    • Machine Learning in Bioinformatics 3
    • Bioinformatics and Genomic Networks 3
    • Genomics and Phylogenetic Studies 2
    • Semantic Web and Ontologies 2
    • Topic Modeling 2

Chih Lee

18 papers receiving 387 citations

Peers

Chih Lee
Comparison fields: 5 of 93
  • Genetics 101
  • Molecular Biology 217
  • Cancer Research 37
  • Health Information Management 9
  • Artificial Intelligence 58
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Citations per field
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Citations per year

Countries citing papers authored by Chih Lee

Since Specialization
Citations

This map shows the geographic impact of Chih Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chih Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih Lee more than expected).

Fields of papers citing papers by Chih Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chih Lee. The network helps show where Chih Lee may publish in the future.

Co-authors

The 12 scholars most cited alongside Chih Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chih Lee Line = papers co-authored together Chih Lee links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201395
2 200968
3 201458
4 201456
5 200425
6 201023
7 201122
8 201320
9 201210
10
Identifying relevant full-text articles for GO annotation without MeSH terms
20043
11
A relevance detection approach to gene annotation
20053
12 20103
13 20113
14 20062
15
Identifying relevant full-text articles for database curation
20052
16 20101
17 20211
18 20041

About Chih Lee

Chih Lee is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Genetics and Insect Science, having authored 18 papers that have together received 396 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Gene expression and cancer classification (5 papers), Genomics and Chromatin Dynamics (4 papers), Machine Learning in Bioinformatics (3 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), Semantic Web and Ontologies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Genetics (101 citations), Molecular Biology (217 citations), Cancer Research (37 citations), Health Information Management (9 citations) and Artificial Intelligence (58 citations). Chih Lee has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Chun-Hsi Huang, Ion Măndoiu, James R. Lindsay, Craig E. Nelson, Hsin‐Hsi Chen, Craig E. Nelson, Grace S. Shieh, Chung‐Ming Chen, Cheng-Long Chuang and Jason D. Gibson. Their work appears in journals such as BMC Bioinformatics, BMC Systems Biology, Nucleic Acids Research, BioTechniques and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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