Tailai Wu

910 citations
38 papers · 575 indexed · h-index 15

Tailai Wu

37 papers receiving 556 citations

Peers

Tailai Wu
Comparison fields: 5 of 119
  • Information Systems and Management 110
  • Marketing 99
  • Communication 68
  • Health 83
  • Organizational Behavior and Human Resource Management 63
Replace Gregor Petrič with:
Gregor Petrič Slovenia
Trent J. Spaulding United States
Junjie Zhou China
John Robert Bautista United States
Heui Sug Jo South Korea
Hyehyun Hong South Korea
Jiran Hou United States
Christos Melas Greece
Ashraf Sadat Ahadzadeh Malaysia
Xiuting Mo Japan
Tailai Wu relative to Gregor Petrič Slovenia Gregor Petrič's profile →
Citations per field
00.5×
Gregor Petrič · 1×
Citations per year

Countries citing papers authored by Tailai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tailai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tailai Wu. 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 Tailai Wu. The network helps show where Tailai Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Tailai Wu, 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 Tailai Wu Line = papers co-authored together Tailai Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 202226
5 20224
6 202214
7 202119
8 202114
9 20207
10 201944
11 20198
12 201917
13 201910
14 201946
15 20181
16 201829
17 201713
18 20163
19
How Selfies Change the Effect of Product Endorsers in Social Media: The Role of Self-Disclosure and Social Interactivity.
20152
20
Changing Perceptions of Companies’ Website From Foreign to Local: An Experimental Study of Website Localization Strategies
20141

About Tailai Wu

Tailai Wu is a scholar working on Information Systems and Management, Health, Organizational Behavior and Human Resource Management, Communication and Applied Psychology, having authored 38 papers that have together received 575 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (13 papers), Technology Adoption and User Behaviour (10 papers), Customer Service Quality and Loyalty (6 papers), Impact of Technology on Adolescents (6 papers), Social Media in Health Education (6 papers), Knowledge Management and Sharing (5 papers), Health Literacy and Information Accessibility (4 papers) and Misinformation and Its Impacts (3 papers). The work is most often cited by research in Information Systems and Management (110 citations), Marketing (99 citations), Communication (68 citations), Health (83 citations) and Organizational Behavior and Human Resource Management (63 citations). Tailai Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhaohua Deng, Paul Benjamin Lowry, Jun Zhang, Zhuo Chen, Ruoxi Wang, Xiuyuan Gong, Zhanchun Feng, Donglan Zhang, Zhiying Liu and Shangfeng Tang. Their work appears in journals such as Journal of Medical Internet Research, Information Technology and People, Journal of the Association for Information Systems, International Journal of Environmental Research and Public Health and Information & 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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2026