Andi Wu
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Information Systems top 10%
- Web Data Mining and Analysis
Papers in
-
- Natural Language Processing Techniques 13
- Topic Modeling 11
- Speech and dialogue systems 4
- Semantic Web and Ontologies 3
- Speech Recognition and Synthesis 2
- Advanced Text Analysis Techniques 2
- Text Readability and Simplification 1
Andi Wu
15 papers receiving 298 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 312
- Information Systems 46
- Computer Vision and Pattern Recognition 39
- Language and Linguistics 14
- Geography, Planning and Development 6
Countries citing papers authored by Andi Wu
This map shows the geographic impact of Andi 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 Andi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andi Wu more than expected).
Fields of papers citing papers by Andi Wu
This network shows the impact of papers produced by Andi 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 Andi Wu. The network helps show where Andi Wu may publish in the future.
Co-authors
The 7 scholars most cited alongside Andi 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 | 2005 | 150 | |
| 2 | 2000 | 46 | |
| 3 | 2004 | 39 | |
| 4 | Word Segmentation In Sentence Analysis | 1998 | 24 |
| 5 | Customizable Segmentation of Morphologically Derived Words in Chinese | 2003 | 19 |
| 6 | 2003 | 14 | |
| 7 | 2001 | 12 | |
| 8 | 2002 | 8 | |
| 9 | THE SPELL-OUT PARAMETERS : A MINIMALIST APPROACH TO SYNTAX | 1994 | 7 |
| 10 | 2003 | 5 | |
| 11 | A Language-Neutral Representation of Temporal Information | 2002 | 4 |
| 12 | 2006 | 3 | |
| 13 | 2006 | 2 | |
| 14 | Generation for multilingual MT | 2001 | 2 |
| 15 | Sentence Generation for Multilingual Machine Translation | 2001 | 2 |
About Andi Wu
Andi Wu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Infectious Diseases, having authored 15 papers that have together received 337 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (13 papers), Topic Modeling (11 papers), Speech and dialogue systems (4 papers), Semantic Web and Ontologies (3 papers), Speech Recognition and Synthesis (2 papers), Advanced Text Analysis Techniques (2 papers), Handwritten Text Recognition Techniques (1 paper) and Text Readability and Simplification (1 paper). The work is most often cited by research in Artificial Intelligence (312 citations), Information Systems (46 citations), Computer Vision and Pattern Recognition (39 citations), Language and Linguistics (14 citations) and Geography, Planning and Development (6 citations). Andi Wu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mu Li, Changning Huang, Jianfeng Gao, Jianfeng Gao, Hongqiao Li, Carmen Lozano and Richard Campbell. Their work appears in journals such as Computational Linguistics and Language Resources and Evaluation.
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.