Peng-Hsuan Li
- Artificial Intelligence top 5%
- Management Science and Operations Research top 10%
- Molecular Biology
- Information Systems
- Computer Vision and Pattern Recognition
- Topics
- Topic Modeling (7 papers)Natural Language Processing Techniques (4 papers)Biomedical Text Mining and Ontologies (3 papers)
- Journals
- Nucleic Acids ResearchBriefings in BioinformaticsInternational Joint Conference on Natural Language Processing
- Partner nations
- TaiwanUnited States
In The Last Decade
Peng-Hsuan Li
7 papers receiving 307 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 289
- Management Science and Operations Research 55
- Molecular Biology 41
- Information Systems 32
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by Peng-Hsuan Li
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 38 | |
| 4 | 257 | |
| 5 | 1 | |
| 6 | Understanding and Improving Sequence-Labeling NER with Self-Attentive LSTMs | 2 |
| 7 | CKIP at IJCNLP-2017 Task 2: Neural Valence-Arousal Prediction for Phrases. | 3 |
About Peng-Hsuan Li
Peng-Hsuan Li is a scholar working on Artificial Intelligence, Molecular Biology and Genetics, having authored 7 papers that have together received 312 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (4 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (289 citations), Management Science and Operations Research (55 citations) and Health Informatics (2 citations). Peng-Hsuan Li has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Wei-Yun Ma, Tsu-Jui Fu, Huai‐Kuang Tsai, Hsueh‐Fen Juan, Chien‐Yu Chen, Jia‐Hsin Huang and Mu Yang. Their work appears in journals such as Nucleic Acids Research, Briefings in Bioinformatics and International Joint Conference on Natural Language Processing.
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.