Ya-Hui Chan

669 citations
11 papers · 542 · h-index 6

Impact in

Papers in

Ya-Hui Chan

11 papers receiving 499 citations

Peers

Ya-Hui Chan
Comparison fields: 5 of 71
  • Marketing 286
  • Strategy and Management 292
  • Management Information Systems 143
  • Organizational Behavior and Human Resource Management 135
  • Business and International Management 16
Replace Jie J. Zhang with:
Jie J. Zhang United States
Wesley Ricardo de Souza Freitas Brazil
Rocío Ruiz‐Benítez Spain
Ivo Hristov Italy
Alejandro Bello–Pintado Spain
Matias G. Enz United States
Zhang Jie China
Gyaneshwar Singh Kushwaha India
Seung‐Kyu Rhee South Korea
Katrina Savitskie United States
Ya-Hui Chan relative to Jie J. Zhang United States Jie J. Zhang's profile →
Citations per field
00.5×2.8×
Jie J. Zhang · 1×
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 9 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

11 of 11 papers shown
#Work
1 2009320
2 201092
3 200989
4 201115
5 20218
6 20116
7 20193
8 20203
9 20162
10 20092
11
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, Management Information Systems, Information Systems and Management and Sociology and Political Science, having authored 11 papers that have together received 542 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (7 papers), Technology Adoption and User Behaviour (3 papers), Consumer Retail Behavior Studies (3 papers), Outsourcing and Supply Chain Management (2 papers), Quality and Supply Management (2 papers), Customer churn and segmentation (2 papers), Complex Network Analysis Techniques (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Marketing (286 citations), Strategy and Management (292 citations), Management Information Systems (143 citations), Organizational Behavior and Human Resource Management (135 citations) and Business and International Management (16 citations). Ya-Hui Chan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shu-Ping Lin, Chwen Sheu, Chen‐Lung Yang, Ming-Chun Tsai, Meilan Li, Chia‐Huei Wu, Yi‐Chun Chen, Grace Lin and Mi-Yen Yeh. Their work appears in journals such as Total Quality Management & Business Excellence, International Journal of Production Economics, Journal of Organizational and End User Computing, Journal of Money Laundering Control and AFRICAN JOURNAL OF BUSINESS 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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