Hsien-Tsung Chang

1.5k citations
62 papers · 852 indexed · h-index 16

Hsien-Tsung Chang

55 papers receiving 809 citations

Peers

Hsien-Tsung Chang
Comparison fields: 5 of 114
  • Information Systems and Management 89
  • Artificial Intelligence 339
  • Human-Computer Interaction 40
  • Demography 71
  • Neuropsychology and Physiological Psychology 9
Replace Davide Calvaresi with:
Davide Calvaresi Switzerland
Shahrul Azman Mohd Noah Malaysia
Anthony F. Norcio United States
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Antoni Martínez-Ballesté Spain
Rajesh Vasa Australia
Amir Talaei‐Khoei Australia
Robert Steele Australia
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Hsien-Tsung Chang relative to Davide Calvaresi Switzerland Davide Calvaresi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hsien-Tsung Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Hsien-Tsung Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hsien-Tsung Chang Line = papers co-authored together Hsien-Tsung Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20241
4 20242
5 20247
6 20236
7 20227
8 202214
9 202114
10 20198
11 201741
12 20163
13 20162
14 201630
15 201516
16 201233
17
Load balancing and fault-tolerance for scalable network file systems using by web services
20091
18 200928
19
Web image retrieval systems with automatic web image annotating techniques
20081
20
Automatic web image annotation for image retrieval systems
20084

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), Speech and Audio Processing (6 papers), Context-Aware Activity Recognition Systems (6 papers), IoT and Edge/Fog Computing (5 papers), Music and Audio Processing (5 papers), Advanced Text Analysis Techniques (5 papers) and Technology Adoption and User Behaviour (5 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.

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