Peng-Hsuan Li

545 total citations
7 papers, 312 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 312 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, Huai‐Kuang Tsai, Chien‐Yu Chen, Jia‐Hsin Huang and Mu Yang and has published in prestigious journals such as Nucleic Acids Research, Briefings in Bioinformatics and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Peng-Hsuan Li

7 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng-Hsuan Li Taiwan	4	289	55	41	32	23	7	312
Anne-Lyse Minard France	6	218 0.8×	29 0.5×	59 1.4×	22 0.7×	13 0.6×	13	240
Zeqiu Wu United States	6	277 1.0×	36 0.7×	28 0.7×	33 1.0×	33 1.4×	10	289
Zhepei Wei China	5	308 1.1×	58 1.1×	42 1.0×	57 1.8×	22 1.0×	6	334
Braden Hancock United States	7	139 0.5×	21 0.4×	31 0.8×	36 1.1×	25 1.1×	9	191
Zhaocheng Zhu China	2	330 1.1×	35 0.6×	28 0.7×	30 0.9×	73 3.2×	4	358
Q. Liu China	3	188 0.7×	39 0.7×	14 0.3×	42 1.3×	20 0.9×	11	237
Qianying Liu Japan	5	238 0.8×	31 0.6×	26 0.6×	34 1.1×	24 1.0×	20	275
Yunzhi Yao China	4	273 0.9×	25 0.5×	22 0.5×	40 1.3×	39 1.7×	5	315
Canasai Kruengkrai Japan	10	435 1.5×	37 0.7×	27 0.7×	62 1.9×	63 2.7×	28	454
James Hammerton Netherlands	5	208 0.7×	33 0.6×	25 0.6×	27 0.8×	12 0.5×	7	232

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Li, Peng-Hsuan, et al.. (2024). A large language model framework for literature-based disease–gene association prediction. Briefings in Bioinformatics. 26(1). 2 indexed citations

2.

Li, Peng-Hsuan, et al.. (2022). pubmedKB: an interactive web server for exploring biomedical entity relations in the biomedical literature. Nucleic Acids Research. 50(W1). W616–W622. 9 indexed citations

3.

Li, Peng-Hsuan, Tsu-Jui Fu, & Wei-Yun Ma. (2020). Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8236–8244. 38 indexed citations

4.

Fu, Tsu-Jui, Peng-Hsuan Li, & Wei-Yun Ma. (2019). GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction. 1409–1418. 257 indexed citations

5.

Yang, Mu, et al.. (2019). HWE: Word Embedding with Heterogeneous Features. 3. 39–46. 1 indexed citations

6.

Li, Peng-Hsuan & Wei-Yun Ma. (2018). Understanding and Improving Sequence-Labeling NER with Self-Attentive LSTMs. 2 indexed citations

7.

Li, Peng-Hsuan, et al.. (2017). CKIP at IJCNLP-2017 Task 2: Neural Valence-Arousal Prediction for Phrases.. International Joint Conference on Natural Language Processing. 89–94. 3 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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