Yan Dang
- Artificial Intelligence top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Information Systems and Management top 5%
- Education top 10%
- Co-authors
- Yulei ZhangHsinchun ChenMihail C. RocoSusan A. BrownCatherine LarsonFan LiXin LiPaul Jen‐Hwa Hu
- Topics
- Spam and Phishing Detection (8 papers)Technology Adoption and User Behaviour (7 papers)Sentiment Analysis and Opinion Mining (4 papers)
- Journals
- Journal of Business ResearchComputers in Human BehaviorJournal of Management Information Systems
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Yan Dang
32 papers receiving 789 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 300
- Information Systems 185
- Sociology and Political Science 167
- Information Systems and Management 90
- Education 75
Countries citing papers authored by Yan Dang
This map shows the geographic impact of Yan Dang'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 Yan Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Dang more than expected).
Fields of papers citing papers by Yan Dang
This network shows the impact of papers produced by Yan Dang. 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 Yan Dang. The network helps show where Yan Dang may publish in the future.
Co-authorship network of co-authors of Yan Dang
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Dang. A scholar is included among the top collaborators of Yan Dang 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 Yan Dang. Yan Dang 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 | 1 | |
| 3 | 38 | |
| 4 | Examining Student Satisfaction and Gender Differences in Technology-Supported, Blended Learning. | 50 |
| 5 | Investigating essential factors of reseller perceived inequity and reseller performance in e-business | 3 |
| 6 | 45 | |
| 7 | 28 | |
| 8 | 15 | |
| 9 | The Impact of Prior System Beliefs on User Perceptions towards a New System: A Study on E-Learning Systems | 0 |
| 10 | 27 | |
| 11 | Understanding avatar sentiments using verbal and non- verbal cues | 0 |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 56 | |
| 15 | 5 | |
| 16 | 61 | |
| 17 | 77 | |
| 18 | 3 | |
| 19 | 14 | |
| 20 | 1 |
About Yan Dang
Yan Dang is a scholar working on Information Systems and Management, Human-Computer Interaction and Information Systems, having authored 36 papers that have together received 864 indexed citations. Recurring topics across this work include Spam and Phishing Detection (8 papers), Technology Adoption and User Behaviour (7 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Information Systems and Management (90 citations), Artificial Intelligence (300 citations) and Computer Science Applications (47 citations). Yan Dang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yulei Zhang, Hsinchun Chen, Hsinchun Chen, Mihail C. Roco, Susan A. Brown, Catherine Larson, Yulei Zhang, Fan Li, Xin Li and Paul Jen‐Hwa Hu. Their work appears in journals such as Journal of Business Research, Computers in Human Behavior and Journal of Management Information Systems.
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.