Chang-Shing Lee
Impact in
- Artificial Intelligence top 0.5%
- Semantic Web and Ontologies
- Fuzzy Logic and Control Systems
- Advanced Text Analysis Techniques
- Artificial Intelligence in Games
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Games 29
- Advanced Text Analysis Techniques 24
- Semantic Web and Ontologies 20
- Fuzzy Logic and Control Systems 18
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- Service-Oriented Architecture and Web Services 24
- Co-authors
- Mei‐Hui Wang (85 shared papers)Yau-Hwang Kuo (12 shared papers)Liang Huang (1 shared paper)Hani Hagras (11 shared papers)Chin-Yuan Hsu (12 shared papers)Giovanni Acampora (13 shared papers)Pao-Ta Yu (2 shared papers)Olivier Teytaud (24 shared papers)
In The Last Decade
Chang-Shing Lee
141 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 129
- Artificial Intelligence 1.8k
- Health Information Management 174
- Information Systems 851
- Signal Processing 350
- Computer Vision and Pattern Recognition 506
Countries citing papers authored by Chang-Shing Lee
This map shows the geographic impact of Chang-Shing Lee'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 Chang-Shing Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Shing Lee more than expected).
Fields of papers citing papers by Chang-Shing Lee
This network shows the impact of papers produced by Chang-Shing Lee. 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 Chang-Shing Lee. The network helps show where Chang-Shing Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang-Shing Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 293 | |
| 2 | 2010 | 202 | |
| 3 | 2010 | 196 | |
| 4 | 2006 | 147 | |
| 5 | 1997 | 138 | |
| 6 | 2009 | 97 | |
| 7 | 2006 | 93 | |
| 8 | 2003 | 78 | |
| 9 | 2008 | 78 | |
| 10 | 2007 | 70 | |
| 11 | 2010 | 68 | |
| 12 | 2005 | 57 | |
| 13 | 2005 | 55 | |
| 14 | 2010 | 52 | |
| 15 | 2007 | 51 | |
| 16 | 2014 | 50 | |
| 17 | 2003 | 46 | |
| 18 | 2010 | 45 | |
| 19 | 2006 | 44 | |
| 20 | 2000 | 42 |
About Chang-Shing Lee
Chang-Shing Lee is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 151 papers that have together received 2.9k indexed citations. Recurring topics across this work include Artificial Intelligence in Games (29 papers), Advanced Text Analysis Techniques (24 papers), Service-Oriented Architecture and Web Services (24 papers), Semantic Web and Ontologies (20 papers), Fuzzy Logic and Control Systems (18 papers), Video Analysis and Summarization (14 papers), Image and Signal Denoising Methods (13 papers) and Advanced Image Fusion Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Health Information Management (174 citations), Information Systems (851 citations), Signal Processing (350 citations) and Computer Vision and Pattern Recognition (506 citations). Chang-Shing Lee has collaborated with scholars based in Taiwan, Japan and France. Frequent co-authors include Mei‐Hui Wang, Yau-Hwang Kuo, Liang Huang, Hani Hagras, Chin-Yuan Hsu, Giovanni Acampora, Pao-Ta Yu, Olivier Teytaud, Mei‐Hui Wang and Shu‐Mei Guo. Their work appears in journals such as Soft Computing, Expert Systems with Applications, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Computational Intelligence and AI in Games and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.