Hung Yu Kao
- Molecular Biology
- Artificial Intelligence top 10%
- Genetics
- Computational Theory and Mathematics top 10%
- Cancer Research
- Topics
- Web Data Mining and Analysis (3 papers)Topic Modeling (3 papers)Advanced Text Analysis Techniques (2 papers)
- Partner nations
- TaiwanSwitzerlandChina
In The Last Decade
Hung Yu Kao
8 papers receiving 391 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Molecular Biology 316
- Artificial Intelligence 175
- Genetics 59
- Computational Theory and Mathematics 48
- Cancer Research 22
Countries citing papers authored by Hung Yu Kao
This map shows the geographic impact of Hung Yu Kao'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 Hung Yu Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Yu Kao more than expected).
Fields of papers citing papers by Hung Yu Kao
This network shows the impact of papers produced by Hung Yu Kao. 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 Hung Yu Kao. The network helps show where Hung Yu Kao may publish in the future.
Co-authorship network of co-authors of Hung Yu Kao
This figure shows the co-authorship network connecting the top 25 collaborators of Hung Yu Kao. A scholar is included among the top collaborators of Hung Yu Kao 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 Hung Yu Kao. Hung Yu Kao 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 | Word Co-occurrence Augmented Topic Model in Short Text | 5 |
| 3 | PubTator: a web-based text mining tool for assisting biocurationbreakdown → | 380 |
| 4 | Constructing Social Intentional Corpora to Predict Click-Through Rate for Search Advertising | 3 |
| 5 | The Clustering of Hot Topics on Plurk | 2 |
| 6 | Top stories identification from blog to news in TREC 2010 blog track | 2 |
| 7 | Investigation on a Small Oscillogram | 1 |
| 8 | 2 |
About Hung Yu Kao
Hung Yu Kao is a scholar working on Information Systems, Bioengineering and Statistical and Nonlinear Physics, having authored 8 papers that have together received 397 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (3 papers), Topic Modeling (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (175 citations), Molecular Biology (316 citations) and Computational Theory and Mathematics (48 citations). Hung Yu Kao has collaborated with scholars based in Taiwan, Switzerland and China. Frequent co-authors include Chih-Hsuan Wei, Zhiyong Lu, Hongfang Zhang and Hong‐Gang Ni. Their work appears in journals such as Nucleic Acids Research, TrAC Trends in Analytical Chemistry and Chinese Chemical Letters.
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.