Hsia‐Ching Chang

33 papers receiving 424 citations

Peers

Hsia‐Ching Chang
Comparison fields: 5 of 84
  • Communication 91
  • Information Systems and Management 73
  • Management Information Systems 55
  • Information Systems 124
  • Statistical and Nonlinear Physics 51
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Countries citing papers authored by Hsia‐Ching Chang

Since Specialization
Citations

This map shows the geographic impact of Hsia‐Ching 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 Hsia‐Ching Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsia‐Ching Chang more than expected).

Fields of papers citing papers by Hsia‐Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsia‐Ching 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 Hsia‐Ching Chang. The network helps show where Hsia‐Ching Chang may publish in the future.

Co-authors

The 15 scholars most cited alongside Hsia‐Ching 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 Hsia‐Ching Chang Line = papers co-authored together Hsia‐Ching Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010190
2 202254
3 201849
4 201225
5 201820
6 201814
7
Exploring An Individual’s Intention to Use Blogs: The Roles of Social, Motivational and Individual Factors
201011
8 200910
9 20228
10
Toward an Understanding of Data Literacy
20188
11 20167
12
Acceptance and Willingness to Pay for Mobile TV Apps
20136
13 20205
14 20095
15 20224
16 20184
17 20184
18 20154
19
THE MODERATING ROLE OF UTILITARIAN/HEDONIC USER MOTIVATION ON USER BEHAVIOUR TOWARDS WEB 2.0 APPLICATIONS
20093
20 20163

About Hsia‐Ching Chang

Hsia‐Ching Chang is a scholar working on Information Systems, Information Systems and Management, Sociology and Political Science, Artificial Intelligence and Management Science and Operations Research, having authored 36 papers that have together received 451 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (9 papers), Digital Marketing and Social Media (8 papers), Complex Network Analysis Techniques (6 papers), Data Quality and Management (5 papers), Blockchain Technology Applications and Security (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Big Data and Business Intelligence (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Communication (91 citations), Information Systems and Management (73 citations), Management Information Systems (55 citations), Information Systems (124 citations) and Statistical and Nonlinear Physics (51 citations). Hsia‐Ching Chang has collaborated with scholars based in United States, Taiwan and Nigeria. Frequent co-authors include Chen‐Ya Wang, Victor R. Prybutok, Suliman Hawamdeh, Seng‐Cho T. Chou, Jeonghyun Kim, Miyoung Chong, Susan Squires, Yi-Chun Lin, Jiangping Chen and Jie Yang. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, Library trends, Journal of Marketing Communications, Computers in Human Behavior and Journal of Knowledge Management.

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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