Kuan-Hao Huang
- Artificial Intelligence top 10%
- Endocrinology top 5%
- Molecular Biology
- Health, Toxicology and Mutagenesis
- Information Systems
- Co-authors
- Kai-Wei ChangNanyun PengBing‐Mu HsuPo-Min KaoPrem NatarajanElizabeth BoscheeS.L. MillerShih-Wei Huang
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (13 papers)Multimodal Machine Learning Applications (5 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Kuan-Hao Huang
27 papers receiving 350 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 197
- Endocrinology 85
- Molecular Biology 72
- Health, Toxicology and Mutagenesis 41
- Information Systems 38
Countries citing papers authored by Kuan-Hao Huang
This map shows the geographic impact of Kuan-Hao Huang'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 Kuan-Hao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan-Hao Huang more than expected).
Fields of papers citing papers by Kuan-Hao Huang
This network shows the impact of papers produced by Kuan-Hao Huang. 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 Kuan-Hao Huang. The network helps show where Kuan-Hao Huang may publish in the future.
Co-authorship network of co-authors of Kuan-Hao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan-Hao Huang. A scholar is included among the top collaborators of Kuan-Hao Huang 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 Kuan-Hao Huang. Kuan-Hao Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | Event Extraction as Natural Language Generation | 5 |
| 12 | 34 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | MultiDEC: Multi-Modal Clustering of Image-Caption Pairs. | 0 |
| 16 | 34 | |
| 17 | 15 | |
| 18 | 2 | |
| 19 | 28 | |
| 20 | 29 |
About Kuan-Hao Huang
Kuan-Hao Huang is a scholar working on Endocrinology, Artificial Intelligence and Computer Science Applications, having authored 31 papers that have together received 370 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (13 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Endocrinology (85 citations), Artificial Intelligence (197 citations) and Health, Toxicology and Mutagenesis (41 citations). Kuan-Hao Huang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Kai-Wei Chang, Nanyun Peng, Bing‐Mu Hsu, Po-Min Kao, Prem Natarajan, Elizabeth Boschee, S.L. Miller, Shih-Wei Huang, Cheng‐Hsun Hsu and Ryan Cotterell. Their work appears in journals such as The Science of The Total Environment, Thin Solid Films and Wear.
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.