Seng‐Cho T. Chou

56 papers receiving 863 citations

Peers

Seng‐Cho T. Chou
Comparison fields: 5 of 110
  • Artificial Intelligence 257
  • Information Systems 198
  • Management Science and Operations Research 193
  • Computer Networks and Communications 126
  • Sociology and Political Science 117
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Countries citing papers authored by Seng‐Cho T. Chou

Since Specialization
Citations

This map shows the geographic impact of Seng‐Cho T. Chou'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 Seng‐Cho T. Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seng‐Cho T. Chou more than expected).

Fields of papers citing papers by Seng‐Cho T. Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seng‐Cho T. Chou. 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 Seng‐Cho T. Chou. The network helps show where Seng‐Cho T. Chou may publish in the future.

Co-authorship network of co-authors of Seng‐Cho T. Chou

This figure shows the co-authorship network connecting the top 25 collaborators of Seng‐Cho T. Chou. A scholar is included among the top collaborators of Seng‐Cho T. Chou 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 Seng‐Cho T. Chou. Seng‐Cho T. Chou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 14
3 3
4 3
5
A Context and Emotion Aware System for Personalized Music Recommendation
10
6
Using Service Design Tool and Qualitative Research Method to Assist the E-Government Service Process Redesign: A Case Study of the Taxation Service Process in Taiwan
2
7 26
8
Acceptance and Willingness to Pay for Mobile TV Apps
6
9
Predicting TV Audience Rating with Social Media
6
10
Designing Public Innovations in Public Sector: The Process and Challenges in Taiwanese E-government
3
11
Social Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization System
6
12
Exploring An Individual’s Intention to Use Blogs: The Roles of Social, Motivational and Individual Factors
11
13
THE MODERATING ROLE OF UTILITARIAN/HEDONIC USER MOTIVATION ON USER BEHAVIOUR TOWARDS WEB 2.0 APPLICATIONS
3
14 9
15
Understanding Consumer Recommendation Behavior in a Mobile Phone Service Context
12
16 15
17
User Acceptance of E-Government Services
27
18
Determinants of User Acceptance of E-Government Service: A Validation of the UTAUT
1
19
Forming Dynamic Supply Chains in the Electronic Marketplace: A Partnership Negotiation Mechanism
1
20
Immortal: a model-based belief revision system
6

About Seng‐Cho T. Chou

Seng‐Cho T. Chou is a scholar working on Information Systems and Management, Communication and Public Administration, having authored 59 papers that have together received 934 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (12 papers), Digital Marketing and Social Media (9 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Management Science and Operations Research (193 citations), Information Systems and Management (106 citations) and Management Information Systems (93 citations). Seng‐Cho T. Chou has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Gwo‐Hshiung Tzeng, Kuan‐Yu Chen, Chen‐Ya Wang, Yi‐Shun Wang, Chorng‐Shyong Ong, Feipei Lai, Liang‐Chuan Wu, Gary Klein, Hsia‐Ching Chang and James J. Jiang. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and BMC Bioinformatics.

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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