Feng‐Kwei Wang

1.3k citations
33 papers · 878 · 1 hit paper · h-index 14

Impact in

Papers in

Feng‐Kwei Wang

32 papers receiving 827 citations

Feng‐Kwei Wang's Hit Papers

How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework 2020 · 225 citations
2250+2+4Years since publication50100150200

Peers

Feng‐Kwei Wang
Comparison fields: 5 of 81
  • Information Systems and Management 280
  • Marketing 177
  • Communication 127
  • Management Information Systems 114
  • Sociology and Political Science 455
Replace Chris Archer‐Brown with:
Chris Archer‐Brown United Kingdom
Sigi Goode Australia
Xunhua Guo China
İbrahim Akman Türkiye
Vishal Midha United States
Greta L. Polites United States
Jonathan P. Allen United States
Md. Mahbubur Rahim Australia
Markus Bick Germany
VenkateshViswanath
Feng‐Kwei Wang relative to Chris Archer‐Brown United Kingdom Chris Archer‐Brown's profile →
Citations per field
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Chris Archer‐Brown · 1×
Citations per year

Countries citing papers authored by Feng‐Kwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Kwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Kwei Wang. 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 Feng‐Kwei Wang. The network helps show where Feng‐Kwei Wang may publish in the future.

Co-authors

The 23 scholars most cited alongside Feng‐Kwei Wang, 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 Feng‐Kwei Wang Line = papers co-authored together Feng‐Kwei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework
Hit paper breakdown →
2020225
2 2017113
3 201997
4 201578
5 201251
6 201436
7 201435
8 201530
9 200329
10 200726
11 200820
12 202119
13 201917
14 201516
15 200312
16 202112
17 201711
18 200211
19 20058
20 20218

About Feng‐Kwei Wang

Feng‐Kwei Wang is a scholar working on Sociology and Political Science, Information Systems, Artificial Intelligence, Communication and Information Systems and Management, having authored 33 papers that have together received 878 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (6 papers), Technology Adoption and User Behaviour (6 papers), Digital Marketing and Social Media (5 papers), Knowledge Management and Sharing (5 papers), Innovative Teaching and Learning Methods (4 papers), Organizational Learning and Leadership (3 papers), Online and Blended Learning (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Information Systems and Management (280 citations), Marketing (177 citations), Communication (127 citations), Management Information Systems (114 citations) and Sociology and Political Science (455 citations). Feng‐Kwei Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Wu He, Linlin Zhu, Li He, Vasudeva Akula, Shenghua Zha, Yong Chen, Lu Yu, He Li, John Wedman and Heyong Wang. Their work appears in journals such as Information Technology and Management, International Journal of Information Management, Aslib Journal of Information Management, Journal of Global Information Management and Journal of Computing in Higher Education.

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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