Chun‐Nan Hsu

6.6k total citations
103 papers, 2.6k citations indexed

About

Chun‐Nan Hsu is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Chun‐Nan Hsu has authored 103 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 34 papers in Molecular Biology and 21 papers in Information Systems. Recurrent topics in Chun‐Nan Hsu's work include Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (14 papers). Chun‐Nan Hsu is often cited by papers focused on Biomedical Text Mining and Ontologies (21 papers), Topic Modeling (18 papers) and Natural Language Processing Techniques (14 papers). Chun‐Nan Hsu collaborates with scholars based in Taiwan, United States and Australia. Chun‐Nan Hsu's 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 and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Chun‐Nan Hsu

96 papers receiving 2.4k citations

Peers

Chun‐Nan Hsu
Ulf Leser Germany
Esko Ukkonen Finland
Jeffrey J. P. Tsai United States
Donald Adjeroh United States
Jan F. Prins United States
Kevin Y. Yip Hong Kong
Yanjun Qi United States
Chen Lin China
Chun‐Nan Hsu
Citations per year, relative to Chun‐Nan Hsu Chun‐Nan Hsu (= 1×) peers Mario Cannataro

Countries citing papers authored by Chun‐Nan Hsu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Hsu, Chun‐Nan, et al.. (2025). Improving postoperative length of stay forecasting with retrieval-augmented prediction. Journal of the American Medical Informatics Association. 32(12). 1927–1935.
2.
Vutien, Philip, Nicole J. Kim, Andrew M. Moon, et al.. (2024). Validation and expansion of Baveno VII criteria for cACLD and CSPH based on liver stiffness and platelet count: Correlation with risk of hepatic decompensation and death. Hepatology. 82(2). 422–437. 4 indexed citations
3.
Hsu, Chun‐Nan, et al.. (2021). Multi-Classification Study of the Tuberculosis with 3D CBAM-ResNet and EfficientNet.. CLEF (Working Notes). 1305–1309.
4.
Lü, Xing, et al.. (2020). ImageCLEF2020: Laterality-Reduction Three-Dimensional CBAM-Resnet with Balanced Sampler for Multi-Binary Classification of Tuberculosis and CT Auto Reports.. CLEF (Working Notes). 1 indexed citations
5.
Gabriel, Rodney A., Tsung-Ting Kuo, Julian McAuley, & Chun‐Nan Hsu. (2018). Identifying and characterizing highly similar notes in big clinical note datasets. Journal of Biomedical Informatics. 82. 63–69. 15 indexed citations
6.
Gabriel, Rodney A., et al.. (2017). The presence of highly similar notes within the MIMIC-III dataset.. AMIA. 1 indexed citations
7.
Sharma, Shefali, Leslie A. Lange, José Luis Ambite, Yigal Arens, & Chun‐Nan Hsu. (2012). Exploring Label Dependency in Active Learning for Phenotype Mapping. North American Chapter of the Association for Computational Linguistics. 146–154.
8.
Ramakrishnan, C. R., William A. Baumgartner, Judith A. Blake, et al.. (2010). Building the Scientific Knowledge Mine (SciKnowMine1): a Community-driven Framework for Text Mining Tools in Direct Service to Biocuration. Malta. Language Resources and Evaluation. 5 indexed citations
9.
Nanni, Loris, Chun‐Nan Hsu, Alessandra Lumini, Yu-Shi Lin, & Chung‐Chih Lin. (2009). Automated cell phenotype image classification combining different methods.. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1 indexed citations
10.
Hsu, Chun‐Nan, et al.. (2009). Periodic Step Size Adaptation for Single Pass On-line Learning. Neural Information Processing Systems. 22. 763–771. 1 indexed citations
11.
Lin, Yu-Shi, et al.. (2008). Re-weighting Graph Links for Quantifying Difference.. Neural Information Processing Systems. 1 indexed citations
12.
Hsu, Chun‐Nan, et al.. (2005). Reconfigurable Web wrapper agents for biological information integration: Research Articles. Journal of the American Society for Information Science and Technology. 56(5). 505–517. 1 indexed citations
13.
Hsu, Chun‐Nan, et al.. (2003). Reconfigurable Web Wrapper Agents for Web Information Integration. International Joint Conference on Artificial Intelligence. 15–20. 6 indexed citations
14.
Hsu, Chun‐Nan, et al.. (2000). Why Discretization Works for Naive Bayesian Classifiers. International Conference on Machine Learning. 399–406. 34 indexed citations
15.
Jeong, Euna & Chun‐Nan Hsu. (2000). Ontology Integration in XML. National Conference on Artificial Intelligence. 1077. 1 indexed citations
16.
Hsu, Chun‐Nan. (1997). Tradeoff in Rule Induction for Semantic Query Optimization. National Conference on Artificial Intelligence. 1 indexed citations
17.
Arens, Yigal, Chun‐Nan Hsu, & Craig A. Knoblock. (1997). Query processing in the SIMS information mediator. Morgan Kaufmann Publishers Inc. eBooks. 82–90. 127 indexed citations
18.
Hsu, Chun‐Nan & Craig A. Knoblock. (1996). Discovering robust knowledge from dynamic closed-world data. National Conference on Artificial Intelligence. 820–827. 6 indexed citations
19.
Hsu, Chun‐Nan & Craig A. Knoblock. (1996). Using inductive learning to generate rules for semantic query optimization. Knowledge Discovery and Data Mining. 425–445. 27 indexed citations
20.
Hsu, Chun‐Nan & Craig A. Knoblock. (1995). Estimating the robustness of discovered knowledge. Knowledge Discovery and Data Mining. 156–161. 8 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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