Ying‐Hueih Chen

1.4k citations
18 papers · 1.0k indexed · h-index 11
Topics
Technology Adoption and User Behaviour (15 papers)Customer Service Quality and Loyalty (15 papers)Digital Marketing and Social Media (9 papers)

In The Last Decade

Ying‐Hueih Chen

16 papers receiving 929 citations

Peers

Ying‐Hueih Chen
Comparison fields: 5 of 71
  • Sociology and Political Science 561
  • Information Systems and Management 470
  • Marketing 351
  • Organizational Behavior and Human Resource Management 340
  • Communication 178
Replace Pui‐Lai To with:
Pui‐Lai To Taiwan
Madhavan Parthasarathy United States
James “Mick” Andzulis United States
Hong-Nan Lin Taiwan
Chun‐Yao Huang Taiwan
Christian Friege Germany
Michael T. Krush United States
Cheng Suang Heng Singapore
Stella Yiyan Li Hong Kong
Russell K.H. Ching United States
Ying‐Hueih Chen relative to Pui‐Lai To Taiwan Pui‐Lai To's profile →
Citations per field
00.5×1.5×
Pui‐Lai To · 1×
Citations per year

Countries citing papers authored by Ying‐Hueih Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Hueih Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Hueih Chen. 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 Ying‐Hueih Chen. The network helps show where Ying‐Hueih Chen may publish in the future.

Co-authorship network of co-authors of Ying‐Hueih Chen

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 25
2 13
3 57
4 174
5 2
6
Multichannel Trust Transfer and Repair
3
7
Exploring Impact of E-Marketplace Reputation and Reference Group on Trust of E-Marketplace
2
8 11
9 9
10 43
11 0
12 76
13 53
14
Investigating factors influencing the use of e-government service
1
15 258
16 249
17 31
18 3

About Ying‐Hueih Chen

Ying‐Hueih Chen is a scholar working on Information Systems and Management, Organizational Behavior and Human Resource Management and Communication, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (15 papers), Customer Service Quality and Loyalty (15 papers) and Digital Marketing and Social Media (9 papers). The work is most often cited by research in Information Systems and Management (470 citations), Marketing (351 citations) and Organizational Behavior and Human Resource Management (340 citations). Ying‐Hueih Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Jyh‐Jeng Wu, I‐Chieh Hsu, Chia‐Chen Lin, Shu-Hua Chien, David C. Yen, Che-Hui Lien, Irene R. R. Lu and Shu‐Hua Chien. Their work appears in journals such as Journal of Business Research, Information & Management and Industrial Marketing 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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