Hsien-Tsung Chang
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Information Systems and Management top 5%
- Demography top 5%
- Co-authors
- Lal KhanAmmar AmjadTsai-Hsuan TsaiNilamadhab MishraNoman AshrafYung‐Sheng ChangChung‐Chih LinAlexander Gelbukh
- Topics
- Sentiment Analysis and Opinion Mining (7 papers)Topic Modeling (7 papers)Speech and Audio Processing (6 papers)
In The Last Decade
Hsien-Tsung Chang
55 papers receiving 809 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 339
- Sociology and Political Science 127
- Information Systems 117
- Information Systems and Management 89
- Demography 71
Countries citing papers authored by Hsien-Tsung Chang
This map shows the geographic impact of Hsien-Tsung Chang'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 Hsien-Tsung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsien-Tsung Chang more than expected).
Fields of papers citing papers by Hsien-Tsung Chang
This network shows the impact of papers produced by Hsien-Tsung Chang. 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 Hsien-Tsung Chang. The network helps show where Hsien-Tsung Chang may publish in the future.
Co-authorship network of co-authors of Hsien-Tsung Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hsien-Tsung Chang. A scholar is included among the top collaborators of Hsien-Tsung Chang 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 Hsien-Tsung Chang. Hsien-Tsung Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 8 | |
| 11 | 41 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 16 | |
| 16 | 33 | |
| 17 | Load balancing and fault-tolerance for scalable network file systems using by web services | 1 |
| 18 | 28 | |
| 19 | Web image retrieval systems with automatic web image annotating techniques | 1 |
| 20 | Automatic web image annotation for image retrieval systems | 4 |
About Hsien-Tsung Chang
Hsien-Tsung Chang is a scholar working on Signal Processing, Health Informatics and Information Systems and Management, having authored 62 papers that have together received 852 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (7 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in Information Systems and Management (89 citations), Artificial Intelligence (339 citations) and Human-Computer Interaction (40 citations). Hsien-Tsung Chang has collaborated with scholars based in Taiwan, India and Mexico. Frequent co-authors include Lal Khan, Ammar Amjad, Tsai-Hsuan Tsai, Nilamadhab Mishra, Noman Ashraf, Yung‐Sheng Chang, Chung‐Chih Lin, Alexander Gelbukh, Yu‐Wen Lin and Shyy Woei Chang. Their work appears in journals such as PLoS ONE, Scientific Reports and Computers in Human Behavior.
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.