Shu‐Chen Kao
- Information Systems and Management top 5%
- Sociology and Political Science
- Information Systems top 10%
- Marketing top 10%
- Communication top 10%
- Co-authors
- Chien‐Hsing WuHsin‐Hui LinCheng‐Hsiung LinChin‐Feng ChanChih‐Ming ChiangWayne C. LiaoYu‐Wei SuChunlei Wu
- Topics
- Technology Adoption and User Behaviour (14 papers)Digital Marketing and Social Media (12 papers)Knowledge Management and Sharing (11 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shu‐Chen Kao
42 papers receiving 440 citations
Peers
Comparison fields: 5 of 108
- Information Systems and Management 100
- Sociology and Political Science 95
- Information Systems 90
- Marketing 71
- Communication 65
Countries citing papers authored by Shu‐Chen Kao
This map shows the geographic impact of Shu‐Chen Kao'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 Shu‐Chen Kao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Chen Kao more than expected).
Fields of papers citing papers by Shu‐Chen Kao
This network shows the impact of papers produced by Shu‐Chen Kao. 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 Shu‐Chen Kao. The network helps show where Shu‐Chen Kao may publish in the future.
Co-authorship network of co-authors of Shu‐Chen Kao
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Chen Kao. A scholar is included among the top collaborators of Shu‐Chen Kao 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 Shu‐Chen Kao. Shu‐Chen Kao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | Streamflow Predictions in Data-Scarce Basins using Bayesian and Physics-Informed Machine Learning Models | 1 |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 16 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 27 | |
| 17 | RELATIONSHIPS BETWEEN EMPLOYEES’ PERCEPTION OF CORPORATE SOCIAL RESPONSIBILITY, PERSONALITY, JOB SATISFACTION, AND ORGANIZATIONAL COMMITMENT | 6 |
| 18 | 13 | |
| 19 | 26 | |
| 20 | The Effect of Organizational Attributes on the Adoption of Data Mining Techniques in the Financial Service Industry: An Empirical Study in Taiwan | 10 |
About Shu‐Chen Kao
Shu‐Chen Kao is a scholar working on Information Systems and Management, Communication and Marketing, having authored 44 papers that have together received 467 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (14 papers), Digital Marketing and Social Media (12 papers) and Knowledge Management and Sharing (11 papers). The work is most often cited by research in Information Systems and Management (100 citations), Communication (65 citations) and Marketing (71 citations). Shu‐Chen Kao has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chien‐Hsing Wu, Hsin‐Hui Lin, Cheng‐Hsiung Lin, Chin‐Feng Chan, Chih‐Ming Chiang, Wayne C. Liao, Yu‐Wei Su, Chunlei Wu, Ming‐Been Lee and Chia‐Yi Wu. Their work appears in journals such as Expert Systems with Applications, Solar Energy and Information Sciences.
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.