Peng-Hsuan Li

12 total papers · 543 total citations
7 papers, 309 citations indexed

About

Peng-Hsuan Li is a scholar working on Artificial Intelligence, Molecular Biology and Genetics. According to data from OpenAlex, Peng-Hsuan Li has authored 7 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Molecular Biology and 1 paper in Genetics. Recurrent topics in Peng-Hsuan Li's work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Peng-Hsuan Li is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Peng-Hsuan Li collaborates with scholars based in Taiwan and United States. Peng-Hsuan Li's co-authors include Wei-Yun Ma, Tsu-Jui Fu, Hsueh‐Fen Juan, Jia‐Hsin Huang, Chien‐Yu Chen, Huai‐Kuang Tsai and Mu Yang and has published in prestigious journals such as Nucleic Acids Research, Briefings in Bioinformatics and International Joint Conference on Natural Language Processing.

In The Last Decade

Peng-Hsuan Li

7 papers receiving 304 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peng-Hsuan Li 287 55 41 32 23 7 309
Zeqiu Wu 277 1.0× 36 0.7× 28 0.7× 33 1.0× 33 1.4× 9 289
Zara Nasar 218 0.8× 39 0.7× 38 0.9× 61 1.9× 14 0.6× 9 278
Anne-Lyse Minard 217 0.8× 29 0.5× 59 1.4× 22 0.7× 13 0.6× 13 239
Lujun Zhao 251 0.9× 34 0.6× 18 0.4× 27 0.8× 26 1.1× 11 285
Lushan Han 290 1.0× 25 0.5× 38 0.9× 58 1.8× 19 0.8× 14 342
Fabian L. Wauthier 121 0.4× 40 0.7× 49 1.2× 17 0.5× 28 1.2× 8 330
Yunzhi Yao 265 0.9× 25 0.5× 20 0.5× 39 1.2× 39 1.7× 5 304
Joachim Daiber 326 1.1× 47 0.9× 33 0.8× 77 2.4× 55 2.4× 8 357
Q. Liu 182 0.6× 38 0.7× 13 0.3× 40 1.3× 19 0.8× 11 222
Zhaocheng Zhu 327 1.1× 35 0.6× 27 0.7× 30 0.9× 72 3.1× 4 353

Countries citing papers authored by Peng-Hsuan Li

Since Specialization
Citations

This map shows the geographic impact of Peng-Hsuan Li'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 Peng-Hsuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng-Hsuan Li more than expected).

Fields of papers citing papers by Peng-Hsuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peng-Hsuan Li. 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 Peng-Hsuan Li. The network helps show where Peng-Hsuan Li may publish in the future.

Co-authorship network of co-authors of Peng-Hsuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Peng-Hsuan Li. A scholar is included among the top collaborators of Peng-Hsuan Li 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 Peng-Hsuan Li. Peng-Hsuan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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