Chin-Shan Wu

1.4k citations
25 papers · 1.1k indexed · h-index 13
Topics
Technology Adoption and User Behaviour (11 papers)Digital Marketing and Social Media (9 papers)Customer Service Quality and Loyalty (6 papers)
Partner nations
TaiwanUnited StatesIndia

In The Last Decade

Chin-Shan Wu

23 papers receiving 988 citations

Peers

Chin-Shan Wu
Comparison fields: 5 of 113
  • Sociology and Political Science 449
  • Information Systems and Management 390
  • Marketing 343
  • Organizational Behavior and Human Resource Management 137
  • Social Psychology 118
Replace Suzanne Altobello Nasco with:
Suzanne Altobello Nasco United States
Arnaud De Bruyn France
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Byung‐Kwan Lee South Korea
Anssi Öörni Finland
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Yi-Cheng Ku Taiwan
Michelle Carter United States
Chin-Shan Wu relative to Suzanne Altobello Nasco United States Suzanne Altobello Nasco's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chin-Shan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chin-Shan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Shan Wu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 4
3 25
4 10
5
Negative influence of advertisement on Instagram: the moderating effect of promotion.
0
6 38
7 67
8 105
9 11
10 28
11 0
12 21
13
Perceived Risks and Risk Reduction Strategies in Online Group-Buying
6
14 42
15 12
16 60
17
An efficient A* algorithm for the directed linear arrangement problem
1
18 108
19 36
20
Web site Usability Evaluation of Internet Banking in Taiwan
6

About Chin-Shan Wu

Chin-Shan Wu is a scholar working on Information Systems and Management, General Decision Sciences and Applied Psychology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (9 papers) and Customer Service Quality and Loyalty (6 papers). The work is most often cited by research in Information Systems and Management (390 citations), Marketing (343 citations) and General Decision Sciences (47 citations). Chin-Shan Wu has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Fei-Fei Cheng, David C. Yen, Yuwen Huang, Yi‐Chieh Chen, J. Chang, Hsin‐Hui Lin, Ming‐Chih Lee, Chien‐Liang Chiu, Guangming Wu and Huiling Lin. Their work appears in journals such as Computers in Human Behavior, Frontiers in Psychology 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