Sheng Lin
- Education top 10%
- Developmental and Educational Psychology top 10%
- Computer Science Applications top 5%
- Economics and Econometrics
- Information Systems
- Co-authors
- Eugenia Y. HuangTravis K. HuangYanan ChenJinlan LiuHuayou ChenJinpei LiuLigang ZhouLouis Yi-Shih Lo
- Topics
- Technology Adoption and User Behaviour (4 papers)Job Satisfaction and Organizational Behavior (3 papers)Digital Marketing and Social Media (3 papers)
In The Last Decade
Sheng Lin
20 papers receiving 265 citations
Peers
Comparison fields: 5 of 69
- Education 84
- Developmental and Educational Psychology 64
- Computer Science Applications 59
- Economics and Econometrics 42
- Information Systems 40
Countries citing papers authored by Sheng Lin
This map shows the geographic impact of Sheng Lin'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 Sheng Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Lin more than expected).
Fields of papers citing papers by Sheng Lin
This network shows the impact of papers produced by Sheng Lin. 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 Sheng Lin. The network helps show where Sheng Lin may publish in the future.
Co-authorship network of co-authors of Sheng Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Lin. A scholar is included among the top collaborators of Sheng Lin 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 Sheng Lin. Sheng Lin 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 | 21 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | Reduce Uncertainty of Online Potential Mates: Employing Signalling Theory | 1 |
| 9 | MOTIVATION FOR USING THE SOCIAL COMMERCE WEBSITE IN THE SHARING ECONOMY: A TWO-FACTOR THEORY PERSPECTIVE | 3 |
| 10 | 9 | |
| 11 | 29 | |
| 12 | Enhancing Buyers’ Perceptions of Product Quality: From Seller and Product Signals to eWOM | 1 |
| 13 | 3 | |
| 14 | 22 | |
| 15 | 8 | |
| 16 | 138 | |
| 17 | 3 | |
| 18 | How E-Servqual Affects Customer's Online Purchase Intention? | 1 |
| 19 | 6 | |
| 20 | 2 |
About Sheng Lin
Sheng Lin is a scholar working on Information Systems and Management, Marketing and Organizational Behavior and Human Resource Management, having authored 20 papers that have together received 291 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (4 papers), Job Satisfaction and Organizational Behavior (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Computer Science Applications (59 citations), Developmental and Educational Psychology (64 citations) and Information Systems and Management (23 citations). Sheng Lin has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Eugenia Y. Huang, Travis K. Huang, Yanan Chen, Jinlan Liu, Huayou Chen, Jinpei Liu, Ligang Zhou, Louis Yi-Shih Lo, Yuan Zhao and Qin Xu. Their work appears in journals such as Computers in Human Behavior, Computers & Education and Frontiers in Psychology.
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.