Chorng-Guang Wu
- Information Systems and Management top 2%
- Sociology and Political Science top 10%
- Computer Science Applications top 2%
- Communication top 5%
- Marketing top 10%
- Co-authors
- Clifford E. YoungJames H. GerlachJonathan HoChung‐Shing LeeWenhao David HuangChih-Hung HsiehLawrence F. Cunningham
- Topics
- Technology Adoption and User Behaviour (5 papers)Knowledge Management and Sharing (4 papers)Digital Marketing and Social Media (4 papers)
- Journals
- Information & ManagementEducational Technology Research and DevelopmentTechnology in Society
- Partner nations
- TaiwanUnited States
In The Last Decade
Chorng-Guang Wu
10 papers receiving 389 citations
Peers
Comparison fields: 5 of 56
- Information Systems and Management 180
- Sociology and Political Science 155
- Computer Science Applications 140
- Communication 111
- Marketing 85
Countries citing papers authored by Chorng-Guang Wu
This map shows the geographic impact of Chorng-Guang 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 Chorng-Guang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chorng-Guang Wu more than expected).
Fields of papers citing papers by Chorng-Guang Wu
This network shows the impact of papers produced by Chorng-Guang 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 Chorng-Guang Wu. The network helps show where Chorng-Guang Wu may publish in the future.
Co-authorship network of co-authors of Chorng-Guang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Chorng-Guang Wu. A scholar is included among the top collaborators of Chorng-Guang 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 Chorng-Guang Wu. Chorng-Guang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 163 | |
| 3 | 27 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | Convergence or divergence?: A comparison of acceptance and use of technology for smart phones and tablets | 7 |
| 7 | The comparison of online Delphi and real-time Delphi | 2 |
| 8 | 5 | |
| 9 | An empirical analysis of open source software developers' motivation using expectancy-valence theory | 1 |
| 10 | 179 |
About Chorng-Guang Wu
Chorng-Guang Wu is a scholar working on Computer Science Applications, Information Systems and Management and Communication, having authored 10 papers that have together received 412 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Knowledge Management and Sharing (4 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Information Systems and Management (180 citations), Computer Science Applications (140 citations) and Communication (111 citations). Chorng-Guang Wu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Clifford E. Young, James H. Gerlach, Jonathan Ho, Chung‐Shing Lee, Wenhao David Huang, Chih-Hung Hsieh and Lawrence F. Cunningham. Their work appears in journals such as Information & Management, Educational Technology Research and Development and Technology in Society.
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.