Chih Lee

571 total citations
17 papers, 384 citations indexed

About

Chih Lee is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Chih Lee has authored 17 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Chih Lee's work include Biomedical Text Mining and Ontologies (6 papers), Genomics and Phylogenetic Studies (5 papers) and Gene expression and cancer classification (5 papers). Chih Lee is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Genomics and Phylogenetic Studies (5 papers) and Gene expression and cancer classification (5 papers). Chih Lee collaborates with scholars based in United States and Taiwan. Chih Lee's co-authors include Chun-Hsi Huang, Ion Măndoiu, Craig E. Nelson, James Lindsay, Hsin‐Hsi Chen, Craig E. Nelson, Grace S. Shieh, Chung‐Ming Chen, Cheng-Long Chuang and Colin J. Brown and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Chih Lee

17 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chih Lee United States 9 241 114 52 40 33 17 384
Ceri E. Van Slyke United States 11 509 2.1× 102 0.9× 45 0.9× 43 1.1× 23 0.7× 17 666
Furong Tang China 13 232 1.0× 63 0.6× 29 0.6× 59 1.5× 15 0.5× 35 406
Yuri Pirola Italy 10 223 0.9× 75 0.7× 64 1.2× 31 0.8× 47 1.4× 30 321
Michal Chorev Israel 6 220 0.9× 53 0.5× 104 2.0× 39 1.0× 56 1.7× 11 439
Eugene van Someren Netherlands 6 491 2.0× 82 0.7× 40 0.8× 19 0.5× 28 0.8× 11 667
Michael E. Gruidl United States 8 340 1.4× 145 1.3× 41 0.8× 19 0.5× 21 0.6× 9 511
Raffaella Rizzi Italy 12 302 1.3× 41 0.4× 49 0.9× 38 0.9× 33 1.0× 23 361
Marek Tutaj United States 13 416 1.7× 148 1.3× 25 0.5× 55 1.4× 14 0.4× 26 584
Sin Lam Tan Singapore 10 323 1.3× 73 0.6× 27 0.5× 37 0.9× 31 0.9× 18 395

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-authorship network of co-authors of Chih Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chih Lee. A scholar is included among the top collaborators of Chih Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chih Lee. Chih Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Shieh, Grace S., et al.. (2021). Identify Breast Cancer Subtypes by Gene Expression Profiles. Journal of Data Science. 2(2). 165–175. 1 indexed citations
2.
Lindsay, James, et al.. (2014). Feature selection and classifier performance on diverse bio- logical datasets. BMC Bioinformatics. 15(S13). S4–S4. 54 indexed citations
3.
Lee, Chih & Chun-Hsi Huang. (2014). LASAGNA-Search 2.0: integrated transcription factor binding site search and visualization in a browser. Bioinformatics. 30(13). 1923–1925. 55 indexed citations
4.
Lee, Chih & Chun-Hsi Huang. (2013). LASAGNA: A novel algorithm for transcription factor binding site alignment. BMC Bioinformatics. 14(1). 108–108. 21 indexed citations
5.
Lee, Chih & Chun-Hsi Huang. (2013). LASAGNA-Search: an Integrated Web Tool for Transcription Factor Binding Site Search and Visualization. BioTechniques. 54(3). 141–153. 93 indexed citations
6.
Lee, Chih & Chun-Hsi Huang. (2012). Searching for transcription factor binding sites in vector spaces. BMC Bioinformatics. 13(1). 215–215. 11 indexed citations
7.
Lee, Chih, Ion Măndoiu, & Craig E. Nelson. (2011). Inferring ethnicity from mitochondrial DNA sequence. BMC Proceedings. 5(S2). S11–S11. 19 indexed citations
8.
Lee, Chih, et al.. (2011). Comparison of LDA and SPRT on Clinical Dataset Classifications. SHILAP Revista de lepidopterología. 4. BII.S6935–BII.S6935. 4 indexed citations
9.
Chen, Chung‐Ming, et al.. (2010). Inferring genetic interactions via a nonlinear model and an optimization algorithm. BMC Systems Biology. 4(1). 16–16. 22 indexed citations
10.
Lee, Chih, et al.. (2010). SCLD: a stem cell lineage database for the annotation of cell types and developmental lineages. Nucleic Acids Research. 39(suppl_1). D525–D533. 3 indexed citations
11.
Lee, Chih, et al.. (2010). Biological data classifications with LDA and SPRT. 164–168. 2 indexed citations
12.
Lee, Chih, et al.. (2009). PCA-based population structure inference with generic clustering algorithms. BMC Bioinformatics. 10(S1). S73–S73. 69 indexed citations
13.
Lee, Chih, et al.. (2006). Classifying biological full-text articles for multi-database curation. 159–159. 2 indexed citations
14.
Lee, Chih, et al.. (2005). A relevance detection approach to gene annotation. 148. 2 indexed citations
15.
Lee, Chih, et al.. (2004). Identifying relevant full-text articles for GO annotation without MeSH terms. Text REtrieval Conference. 2 indexed citations
16.
Lee, Chih, et al.. (2004). Annotating multiple types of biomedical entities. 80–80. 23 indexed citations

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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