Yao Shi
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- Technology Adoption and User Behaviour 1
- Applied Psychology top 10%
- Marketing top 10%
- Sociology and Political Science top 10%
- Privacy, Security, and Data Protection 1
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- Software Engineering Research 3
- Software Engineering Techniques and Practices 2
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- Software System Performance and Reliability 2
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- Mobile Health and mHealth Applications 1
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- Environmental Quality and Pollution 1
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- Software Testing and Debugging Techniques 1
- Journals
- Journal of Database Management (2 papers)Journal of the Association for Information Systems (1 paper)International Journal of Medical Informatics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Yao Shi
5 papers receiving 307 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Information Systems and Management 138
- Applied Psychology 47
- Marketing 58
- Human-Computer Interaction 24
- Sociology and Political Science 178
Countries citing papers authored by Yao Shi
This map shows the geographic impact of Yao Shi'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 Yao Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Shi more than expected).
Fields of papers citing papers by Yao Shi
This network shows the impact of papers produced by Yao Shi. 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 Yao Shi. The network helps show where Yao Shi may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Yao Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 0 | |
| 2 | 2020 | 1 | |
| 3 | 2018 | 3 | |
| 4 | The Iterative Effect of IT Identity on Employee Cybersecurity Compliance Behaviors | 2017 | 5 |
| 5 | Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspectivebreakdown → | 2016 | 311 |
| 6 | Systems Analysis for Economic Value of Water | 1999 | 1 |
About Yao Shi
Yao Shi is a scholar working on Software, Computer Science Applications, Information Systems, Information Systems and Management and Computer Networks and Communications, having authored 6 papers that have together received 321 indexed citations. Recurring topics across this work include Software Engineering Research (3 papers), Software Engineering Techniques and Practices (2 papers), Software System Performance and Reliability (2 papers), Technology Adoption and User Behaviour (1 paper), Privacy, Security, and Data Protection (1 paper), Mobile Health and mHealth Applications (1 paper), Environmental Quality and Pollution (1 paper) and Software Testing and Debugging Techniques (1 paper). The work is most often cited by research in Information Systems and Management (138 citations), Applied Psychology (47 citations), Marketing (58 citations), Human-Computer Interaction (24 citations) and Sociology and Political Science (178 citations). Yao Shi has collaborated with scholars based in United States and China. Frequent co-authors include Jing Wu, He Li, Yiwen Gao, Judith C. Simon, Xihui Zhang, Mark L. Gillenson and Thomas F. Stafford. Their work appears in journals such as Journal of Database Management, Journal of the Association for Information Systems and International Journal of Medical Informatics.
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.