I-Hung Hsu
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Semantic Web and Ontologies
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- Data Quality and Management
Papers in
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- Topic Modeling 13
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 4
- Speech and dialogue systems 3
- Semantic Web and Ontologies 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Nanyun Peng (11 shared papers)Kuan-Hao Huang (7 shared papers)Prem Natarajan (6 shared papers)Kai-Wei Chang (7 shared papers)Elizabeth Boschee (2 shared papers)S.L. Miller (2 shared papers)Rujun Han (2 shared papers)Aram Galstyan (2 shared papers)
- Journals
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
I-Hung Hsu
13 papers receiving 193 citations
Peers
Comparison fields: 5 of 18
- Artificial Intelligence 185
- Management Science and Operations Research 22
- Information Systems 35
- Computer Vision and Pattern Recognition 25
- Signal Processing 10
Countries citing papers authored by I-Hung Hsu
This map shows the geographic impact of I-Hung 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 I-Hung Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Hung Hsu more than expected).
Fields of papers citing papers by I-Hung Hsu
This network shows the impact of papers produced by I-Hung 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 I-Hung Hsu. The network helps show where I-Hung Hsu may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Hung Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 80 | |
| 2 | 2019 | 38 | |
| 3 | 2022 | 21 | |
| 4 | 2021 | 20 | |
| 5 | 2023 | 12 | |
| 6 | 2017 | 10 | |
| 7 | Event Extraction as Natural Language Generation | 2021 | 5 |
| 8 | 2024 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 |
About I-Hung Hsu
I-Hung Hsu is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 196 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers), Advanced Text Analysis Techniques (4 papers), Speech and dialogue systems (3 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Software Engineering Research (2 papers) and Computational and Text Analysis Methods (1 paper). The work is most often cited by research in Artificial Intelligence (185 citations), Management Science and Operations Research (22 citations), Information Systems (35 citations), Computer Vision and Pattern Recognition (25 citations) and Signal Processing (10 citations). I-Hung Hsu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Nanyun Peng, Kuan-Hao Huang, Prem Natarajan, Kai-Wei Chang, Elizabeth Boschee, S.L. Miller, Rujun Han, Aram Galstyan, Mu Yang and Ralph Weischedel. Their work appears in journals such as Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and arXiv (Cornell University).
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.