Ya-Hui Chan

14 papers receiving 536 citations

Peers

Ya-Hui Chan
Comparison fields: 5 of 72
  • Marketing 304
  • Strategy and Management 313
  • Management Information Systems 154
  • Organizational Behavior and Human Resource Management 137
  • Business and International Management 19
Replace Zhang Jie with:
Zhang Jie China
Yabing Zhao United States
Ivo Hristov Italy
Matias G. Enz United States
Juan Carlos Sosa Varela Puerto Rico
Rocío Ruiz‐Benítez Spain
Gyaneshwar Singh Kushwaha India
Rudolf O. Large Germany
Soroosh Saghiri United Kingdom
Kajsa Hulthén Sweden
Ya-Hui Chan relative to Zhang Jie China Zhang Jie's profile →
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Citations per year

Countries citing papers authored by Ya-Hui Chan

Since Specialization
Citations

This map shows the geographic impact of Ya-Hui Chan'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 Ya-Hui Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Hui Chan more than expected).

Fields of papers citing papers by Ya-Hui Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Hui Chan. 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 Ya-Hui Chan. The network helps show where Ya-Hui Chan may publish in the future.

Co-authors

The 11 scholars most cited alongside Ya-Hui Chan, 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 Ya-Hui Chan Line = papers co-authored together Ya-Hui Chan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2009343
2 201093
3 200991
4 201116
5 20218
6 20116
7 20145
8 20204
9 20194
10 20093
11 20153
12 20193
13 20162
14
Mining Frequent Patterns with Multiple Item Support Thresholds in Tourism Information Databases.
20142

About Ya-Hui Chan

Ya-Hui Chan is a scholar working on Organizational Behavior and Human Resource Management, Marketing, Sociology and Political Science, Information Systems and Information Systems and Management, having authored 14 papers that have together received 583 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (7 papers), Technology Adoption and User Behaviour (4 papers), Digital Marketing and Social Media (3 papers), Consumer Retail Behavior Studies (3 papers), Web Data Mining and Analysis (2 papers), Data Mining Algorithms and Applications (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Outsourcing and Supply Chain Management (2 papers). The work is most often cited by research in Marketing (304 citations), Strategy and Management (313 citations), Management Information Systems (154 citations), Organizational Behavior and Human Resource Management (137 citations) and Business and International Management (19 citations). Ya-Hui Chan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shu-Ping Lin, Chen‐Lung Yang, Chwen Sheu, Ming-Chun Tsai, Meng-Jung Shih, Chia‐Huei Wu, Meilan Li, Yi‐Chun Chen, Grace Lin and Ting-Yu Lin. Their work appears in journals such as Total Quality Management & Business Excellence, International Journal of Production Economics, Journal of Organizational and End User Computing, Lecture notes in computer science and Journal of Money Laundering Control.

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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