Pi-Jung Hsieh
- Information Systems and Management top 1%
- Sociology and Political Science top 10%
- Education top 10%
- General Health Professions top 10%
- Information Systems top 10%
- Topics
- Technology Adoption and User Behaviour (15 papers)Customer Service Quality and Loyalty (7 papers)Knowledge Management and Sharing (4 papers)
- Journals
- Computers in Human BehaviorComputers & EducationTechnological Forecasting and Social Change
- Partner nations
- TaiwanUnited KingdomThailand
In The Last Decade
Pi-Jung Hsieh
21 papers receiving 760 citations
Peers
Comparison fields: 5 of 97
- Information Systems and Management 327
- Sociology and Political Science 232
- Education 142
- General Health Professions 105
- Information Systems 94
Countries citing papers authored by Pi-Jung Hsieh
This map shows the geographic impact of Pi-Jung Hsieh'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 Pi-Jung Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pi-Jung Hsieh more than expected).
Fields of papers citing papers by Pi-Jung Hsieh
This network shows the impact of papers produced by Pi-Jung Hsieh. 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 Pi-Jung Hsieh. The network helps show where Pi-Jung Hsieh may publish in the future.
Co-authorship network of co-authors of Pi-Jung Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Pi-Jung Hsieh. A scholar is included among the top collaborators of Pi-Jung Hsieh 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 Pi-Jung Hsieh. Pi-Jung Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 9 | |
| 3 | 33 | |
| 4 | 4 | |
| 5 | 56 | |
| 6 | 26 | |
| 7 | 23 | |
| 8 | 93 | |
| 9 | 39 | |
| 10 | 72 | |
| 11 | 7 | |
| 12 | 83 | |
| 13 | Explaining Physicians’ Acceptance and Resistance to the NHI Pharmacloud: A Theoretical Model and Empirical Test | 4 |
| 14 | 101 | |
| 15 | PATIENTS’ ACCEPTANCE AND RESISTANCE TOWARD THE HEALTH CLOUD: AN INTEGRATION OF TECHNOLOGY ACCEPTANCE AND STATUS QUO BIAS PERSPECTIVES | 6 |
| 16 | 106 | |
| 17 | Physician Acceptance Behavior of the Electronic Medical Records Exchange: An Extended Decomposed Theory of Planned Behavior | 11 |
| 18 | The Decision to Continue Sharing Knowledge in Virtual Communities: The Moderating Role of Knowledge-Sharing Experience and Knowledge Self-Efficacy | 10 |
| 19 | 11 | |
| 20 | 20 |
About Pi-Jung Hsieh
Pi-Jung Hsieh is a scholar working on Information Systems and Management, Health Informatics and Communication, having authored 22 papers that have together received 786 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (15 papers), Customer Service Quality and Loyalty (7 papers) and Knowledge Management and Sharing (4 papers). The work is most often cited by research in Information Systems and Management (327 citations), Health Informatics (23 citations) and Health Information Management (50 citations). Pi-Jung Hsieh has collaborated with scholars based in Taiwan, United Kingdom and Thailand. Frequent co-authors include Hui‐Min Lai, Ing‐Long Wu, Lorna Uden, Yishan Ye, Judith W. Alexander, Youli Hong and Chen-Chung Ma. Their work appears in journals such as Computers in Human Behavior, Computers & Education and Technological Forecasting and Social Change.
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.