Kuo‐Lun Hsiao
- Sociology and Political Science top 0.5%
- Information Systems and Management top 0.2%
- Marketing top 1%
- Organizational Behavior and Human Resource Management top 2%
- Communication top 2%
- Co-authors
- Chia‐Chen ChenHsi‐Peng LuHsiu‐Sen ChiangJudy Chuan‐Chuan LinHueiju YuTien‐Chi HuangYu ShuWei‐Ning Yang
- Topics
- Technology Adoption and User Behaviour (31 papers)Digital Marketing and Social Media (25 papers)Customer Service Quality and Loyalty (12 papers)
In The Last Decade
Kuo‐Lun Hsiao
40 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Sociology and Political Science 1.6k
- Information Systems and Management 1.3k
- Marketing 738
- Organizational Behavior and Human Resource Management 414
- Communication 286
Countries citing papers authored by Kuo‐Lun Hsiao
This map shows the geographic impact of Kuo‐Lun Hsiao'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 Kuo‐Lun Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Lun Hsiao more than expected).
Fields of papers citing papers by Kuo‐Lun Hsiao
This network shows the impact of papers produced by Kuo‐Lun Hsiao. 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 Kuo‐Lun Hsiao. The network helps show where Kuo‐Lun Hsiao may publish in the future.
Co-authorship network of co-authors of Kuo‐Lun Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Lun Hsiao. A scholar is included among the top collaborators of Kuo‐Lun Hsiao 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 Kuo‐Lun Hsiao. Kuo‐Lun Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 17 | |
| 4 | 20 | |
| 5 | 9 | |
| 6 | 71 | |
| 7 | 14 | |
| 8 | 51 | |
| 9 | 31 | |
| 10 | 68 | |
| 11 | 40 | |
| 12 | 36 | |
| 13 | 23 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | Exploring the Factors that Influence Continuance Intention to Attend One-to-Some Online Courses via Videoconferencing Software. | 9 |
| 17 | 39 | |
| 18 | 217 | |
| 19 | 234 | |
| 20 | 51 |
About Kuo‐Lun Hsiao
Kuo‐Lun Hsiao is a scholar working on Information Systems and Management, Organizational Behavior and Human Resource Management and Communication, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (31 papers), Digital Marketing and Social Media (25 papers) and Customer Service Quality and Loyalty (12 papers). The work is most often cited by research in Information Systems and Management (1.3k citations), Marketing (738 citations) and Communication (286 citations). Kuo‐Lun Hsiao has collaborated with scholars based in Taiwan, China and Guam. Frequent co-authors include Chia‐Chen Chen, Hsi‐Peng Lu, Hsiu‐Sen Chiang, Judy Chuan‐Chuan Lin, Hueiju Yu, Tien‐Chi Huang, Yu Shu, Hsi‐Peng Lu, Wei‐Ning Yang and Kevin K.W. Ho. 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.