Shih-Hung Wu
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text Readability and Simplification
- Text and Document Classification Technologies
- Information Systems top 5%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 47
- Topic Modeling 44
- Advanced Text Analysis Techniques 16
- Text and Document Classification Technologies 12
- Semantic Web and Ontologies 11
- Sentiment Analysis and Opinion Mining 9
- Text Readability and Simplification 6
-
- Web Data Mining and Analysis 10
- Co-authors
- Wen‐Lian HsuRichard Tzong‐Han TsaiChao-Lin LiuLung‐Hao LeeCheng‐Wei LeeWen−Lian HsuWen‐Chi ChouJieh Hsiang
In The Last Decade
Shih-Hung Wu
85 papers receiving 756 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 687
- Information Systems 178
- Computer Science Applications 33
- Computer Vision and Pattern Recognition 107
- Management Science and Operations Research 46
Countries citing papers authored by Shih-Hung Wu
This map shows the geographic impact of Shih-Hung Wu'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 Shih-Hung Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Hung Wu more than expected).
Fields of papers citing papers by Shih-Hung Wu
This network shows the impact of papers produced by Shih-Hung Wu. 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 Shih-Hung Wu. The network helps show where Shih-Hung Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih-Hung Wu, 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 | 28 | |
| 2 | A RoBERTa-based model on measuring the severity of the signs of depression. | 2021 | 1 |
| 3 | Learning the Human Judgment for the Automatic Evaluation of Chatbot. | 2020 | 1 |
| 4 | CYUT Short Text Conversation System for NTCIR-12 STC. | 2016 | 1 |
| 5 | CYUT-III System at Chinese Grammatical Error Diagnosis Task | 2016 | 3 |
| 6 | Query Expansion by Word Embedding in the Suggestion Track of CLEF 2016 Social Book Search Lab. | 2016 | 1 |
| 7 | Modeling the Helpful Opinion Mining of Online Consumer Reviews as a Classification Problem | 2013 | 14 |
| 8 | CYUT Chinese Textual Entailment Recognition System for NTCIR-10 RITE-2. | 2013 | 3 |
| 9 | 蘊涵句型分析於改進中文文字蘊涵識別系統 (Entailment Analysis for Improving Chinese Recognizing Textual Entailment System) [In Chinese] | 2013 | 1 |
| 10 | Binary-class and Multi-class Chinese Textural Entailment System Description in NTCIR-9 RITE. | 2011 | 3 |
| 11 | Opinion Sentences Extraction and Polarity Classification Using Automatically Generated Templates | 2010 | 1 |
| 12 | Query Expansion via Link Analysis of Wikipedia for CLIR. | 2008 | 10 |
| 13 | Using Wikipedia to Translate OOV Term on MLIR | 2007 | 7 |
| 14 | An Evaluation of Adopting Language Model as the Checker of Preposition Usage | 2006 | 5 |
| 15 | 2006 | 1 | |
| 16 | Applying Maximum Entropy to Robust Chinese Shallow Parsing | 2005 | 5 |
| 17 | 2005 | 15 | |
| 18 | The Construction of a Chinese Named Entity Tagged Corpus: CNEC1.0 | 2004 | 4 |
| 19 | Domain Event Extraction and Representation with Domain Ontology | 2003 | 3 |
| 20 | Risk Control in Multi-agent Coordination by Negotiation with a Trusted Third Party | 1999 | 7 |
About Shih-Hung Wu
Shih-Hung Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Science Applications, having authored 87 papers that have together received 865 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (47 papers), Topic Modeling (44 papers), Advanced Text Analysis Techniques (16 papers), Text and Document Classification Technologies (12 papers), Semantic Web and Ontologies (11 papers), Web Data Mining and Analysis (10 papers), Sentiment Analysis and Opinion Mining (9 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Artificial Intelligence (687 citations), Information Systems (178 citations), Computer Science Applications (33 citations), Computer Vision and Pattern Recognition (107 citations) and Management Science and Operations Research (46 citations). Shih-Hung Wu has collaborated with scholars based in Taiwan, Japan and Indonesia. Frequent co-authors include Wen‐Lian Hsu, Richard Tzong‐Han Tsai, Chao-Lin Liu, Lung‐Hao Lee, Cheng‐Wei Lee, Wen−Lian Hsu, Wen‐Chi Chou, Jieh Hsiang, Min-Yuh Day and Chorng‐Shyong Ong. Their work appears in journals such as Electronics, BMC Bioinformatics, Language Resources and Evaluation, IEEE Access and Expert Systems with Applications.
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.