Kaifeng Liu
- General Health Professions top 10%
- Information Systems and Management top 5%
- Sociology and Political Science
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Da TaoCalvin Kalun OrZhenzhen XieJiang HuangPing TanJoseph TanBernard M.Y. CheungMike K. P. So
- Topics
- Mobile Health and mHealth Applications (6 papers)Technology Adoption and User Behaviour (4 papers)Digital Mental Health Interventions (3 papers)
In The Last Decade
Kaifeng Liu
16 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- General Health Professions 149
- Information Systems and Management 127
- Sociology and Political Science 111
- Artificial Intelligence 102
- Electrical and Electronic Engineering 61
Countries citing papers authored by Kaifeng Liu
This map shows the geographic impact of Kaifeng Liu'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 Kaifeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaifeng Liu more than expected).
Fields of papers citing papers by Kaifeng Liu
This network shows the impact of papers produced by Kaifeng Liu. 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 Kaifeng Liu. The network helps show where Kaifeng Liu may publish in the future.
Co-authorship network of co-authors of Kaifeng Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaifeng Liu. A scholar is included among the top collaborators of Kaifeng Liu 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 Kaifeng Liu. Kaifeng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | The roles of trust, personalization, loss of privacy, and anthropomorphism in public acceptance of smart healthcare servicesbreakdown → | 246 |
| 9 | 42 | |
| 10 | 3 | |
| 11 | 111 | |
| 12 | 46 | |
| 13 | 15 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 67 | |
| 19 | 2 | |
| 20 | 4 |
About Kaifeng Liu
Kaifeng Liu is a scholar working on Human-Computer Interaction, Applied Psychology and Information Systems and Management, having authored 21 papers that have together received 554 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (6 papers), Technology Adoption and User Behaviour (4 papers) and Digital Mental Health Interventions (3 papers). The work is most often cited by research in Information Systems and Management (127 citations), Health Informatics (21 citations) and Applied Psychology (61 citations). Kaifeng Liu has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Da Tao, Calvin Kalun Or, Zhenzhen Xie, Jiang Huang, Ping Tan, Joseph Tan, Bernard M.Y. Cheung, Mike K. P. So, Loretta Yin-Chun Yam and Michael Tow Cheung. Their work appears in journals such as Computers in Human Behavior, Journal of Medical Internet Research and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.
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.