Shui‐Lung Chuang
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Management Science and Operations Research top 10%
- Co-authors
- Lee‐Feng ChienChyan YangKevin Chen–Chuan ChangChengXiang ZhaiChien‐Chung HuangJane Yung-jen HsuWen‐Hsiang LuXuanhui Wang
- Topics
- Web Data Mining and Analysis (14 papers)Semantic Web and Ontologies (7 papers)Text and Document Classification Technologies (5 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Shui‐Lung Chuang
17 papers receiving 309 citations
Peers
Comparison fields: 5 of 34
- Information Systems 241
- Artificial Intelligence 201
- Signal Processing 56
- Computer Networks and Communications 52
- Management Science and Operations Research 48
Countries citing papers authored by Shui‐Lung Chuang
This map shows the geographic impact of Shui‐Lung Chuang'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 Shui‐Lung Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shui‐Lung Chuang more than expected).
Fields of papers citing papers by Shui‐Lung Chuang
This network shows the impact of papers produced by Shui‐Lung Chuang. 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 Shui‐Lung Chuang. The network helps show where Shui‐Lung Chuang may publish in the future.
Co-authorship network of co-authors of Shui‐Lung Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Shui‐Lung Chuang. A scholar is included among the top collaborators of Shui‐Lung Chuang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shui‐Lung Chuang. Shui‐Lung Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Topic Hierarchy Generation for Text Segments: A Practical Web-based Approach | 2 |
| 2 | 11 | |
| 3 | Context-aware wrapping: synchronized data extraction | 28 |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 35 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 41 | |
| 11 | 11 | |
| 12 | 25 | |
| 13 | New Word Learning for Spoken Document Processing Through Discovery of Comparable Texts from External Resources | 1 |
| 14 | 17 | |
| 15 | 33 | |
| 16 | 62 | |
| 17 | 32 | |
| 18 | 4 |
About Shui‐Lung Chuang
Shui‐Lung Chuang is a scholar working on Information Systems, Artificial Intelligence and Signal Processing, having authored 18 papers that have together received 326 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (14 papers), Semantic Web and Ontologies (7 papers) and Text and Document Classification Technologies (5 papers). The work is most often cited by research in Information Systems (241 citations), Artificial Intelligence (201 citations) and Signal Processing (56 citations). Shui‐Lung Chuang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Lee‐Feng Chien, Chyan Yang, Kevin Chen–Chuan Chang, ChengXiang Zhai, Chien‐Chung Huang, Jane Yung-jen Hsu, Wen‐Hsiang Lu, Xuanhui Wang, Frank Seide and Kuan‐Ting Chen. Their work appears in journals such as Decision Support Systems, ACM Transactions on Information Systems and Online Information Review.
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.