Chun‐Nan Hsu
- Artificial Intelligence top 1%
- Molecular Biology top 10%
- Information Systems top 1%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Co-authors
- Craig A. KnoblockYigal ArensChia-Hung LiuAdam YaoChuan-Kun LiuHsiang‐Yu YuanYuan‐Tsong ChenWen‐chang Lin
- Topics
- Biomedical Text Mining and Ontologies (21 papers)Topic Modeling (18 papers)Natural Language Processing Techniques (14 papers)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chun‐Nan Hsu
96 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 1.2k
- Molecular Biology 871
- Information Systems 639
- Computer Networks and Communications 488
- Signal Processing 288
Countries citing papers authored by Chun‐Nan Hsu
This map shows the geographic impact of Chun‐Nan Hsu'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 Chun‐Nan Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Nan Hsu more than expected).
Fields of papers citing papers by Chun‐Nan Hsu
This network shows the impact of papers produced by Chun‐Nan Hsu. 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 Chun‐Nan Hsu. The network helps show where Chun‐Nan Hsu may publish in the future.
Co-authorship network of co-authors of Chun‐Nan Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Nan Hsu. A scholar is included among the top collaborators of Chun‐Nan Hsu 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 Chun‐Nan Hsu. Chun‐Nan Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet. | 0 |
| 4 | ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports. | 1 |
| 5 | 15 | |
| 6 | The presence of highly similar notes within the MIMIC-III dataset. | 1 |
| 7 | Exploring Label Dependency in Active Learning for Phenotype Mapping | 0 |
| 8 | Building the Scientific Knowledge Mine (SciKnowMine1): a Community-driven Framework for Text Mining Tools in Direct Service to Biocuration. Malta | 5 |
| 9 | Automated cell phenotype image classification combining different methods. | 1 |
| 10 | Periodic Step Size Adaptation for Single Pass On-line Learning | 1 |
| 11 | Re-weighting Graph Links for Quantifying Difference. | 1 |
| 12 | Reconfigurable Web wrapper agents for biological information integration: Research Articles | 1 |
| 13 | Reconfigurable Web Wrapper Agents for Web Information Integration | 6 |
| 14 | Why Discretization Works for Naive Bayesian Classifiers | 34 |
| 15 | Ontology Integration in XML | 1 |
| 16 | Tradeoff in Rule Induction for Semantic Query Optimization | 1 |
| 17 | Query processing in the SIMS information mediator | 127 |
| 18 | Discovering robust knowledge from dynamic closed-world data | 6 |
| 19 | Using inductive learning to generate rules for semantic query optimization | 27 |
| 20 | Estimating the robustness of discovered knowledge | 8 |
About Chun‐Nan Hsu
Chun‐Nan Hsu is a scholar working on Health Informatics, Artificial Intelligence and Biophysics, having authored 103 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Health Informatics (70 citations), Artificial Intelligence (1.2k citations) and Information Systems (639 citations). Chun‐Nan Hsu has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Craig A. Knoblock, Yigal Arens, Chia-Hung Liu, Adam Yao, Chuan-Kun Liu, Hsiang‐Yu Yuan, Yuan‐Tsong Chen, Wen‐chang Lin, Wen‐Ching Chan and Sung‐Chou Li. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.
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.