Asanee Kawtrakul
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 19
- Natural Language Processing Techniques 18
- Topic Modeling 12
- Advanced Text Analysis Techniques 5
- Text and Document Classification Technologies 5
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 16
- Modeling and Simulation top 10%
-
- Biomedical Text Mining and Ontologies 8
-
- Handwritten Text Recognition Techniques 5
- Co-authors
- Koichi TakeuchiNigel CollierAi KawazoeMika ShigematsuSon DoanMike ConwayHung Q. NgoYoshio Tateno
- Partner nations
- ThailandJapanUnited States
In The Last Decade
Asanee Kawtrakul
54 papers receiving 452 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 237
- Information Systems 111
- Modeling and Simulation 19
- Epidemiology 142
- Health Information Management 11
Countries citing papers authored by Asanee Kawtrakul
This map shows the geographic impact of Asanee Kawtrakul'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 Asanee Kawtrakul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asanee Kawtrakul more than expected).
Fields of papers citing papers by Asanee Kawtrakul
This network shows the impact of papers produced by Asanee Kawtrakul. 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 Asanee Kawtrakul. The network helps show where Asanee Kawtrakul may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Asanee Kawtrakul, 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 | Creating Multi-Level Class Hierarchy for Question Classification with NP Analysis and WordNet | 2012 | 1 |
| 2 | 2012 | 1 | |
| 3 | 2011 | 16 | |
| 4 | Ontology Development: A Case Study for Thai Rice | 2009 | 10 |
| 5 | Building an Annotated Corpus for Text Summarization and Question Answering | 2008 | 2 |
| 6 | Workbench with Authoring Tools for Collaborative Multi-lingual Ontological Knowledge Construction and Maintenance. | 2008 | 2 |
| 7 | The AGROVOC Concept Server Workbench: A collaborative tool for managing multilingual knowledge | 2008 | 6 |
| 8 | 2008 | 170 | |
| 9 | Development of Ontological Information for Agriculture in Thailand | 2008 | 1 |
| 10 | Mining Causality from Texts for Question Answering System( Knowledge, Information and Creativity Support System) | 2007 | 1 |
| 11 | 2007 | 39 | |
| 12 | 2007 | 16 | |
| 13 | Mining causality knowledge from textual data | 2006 | 4 |
| 14 | Ontology Driven K-Portal Construction and K-Service Provision | 2006 | 2 |
| 15 | 2005 | 7 | |
| 16 | 2005 | 3 | |
| 17 | 2002 | 8 | |
| 18 | A Statistical Approach to Thai Morphological Analyzer. | 1997 | 12 |
| 19 | 1996 | 1 | |
| 20 | 1991 | 1 |
About Asanee Kawtrakul
Asanee Kawtrakul is a scholar working on Artificial Intelligence, Information Systems and Communication, having authored 62 papers that have together received 506 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (19 papers), Natural Language Processing Techniques (18 papers), Service-Oriented Architecture and Web Services (16 papers), Topic Modeling (12 papers), Biomedical Text Mining and Ontologies (8 papers), Advanced Text Analysis Techniques (5 papers), Handwritten Text Recognition Techniques (5 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Information Systems (111 citations) and Modeling and Simulation (19 citations). Asanee Kawtrakul has collaborated with scholars based in Thailand, Japan and United States. Frequent co-authors include Koichi Takeuchi, Nigel Collier, Ai Kawazoe, Mika Shigematsu, Son Doan, Mike Conway, Hung Q. Ngo, Yoshio Tateno, Kiyosu Taniguchi and Điền Đinh.
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.