Wen-Shan Lin
- Information Systems and Management top 1%
- Molecular Biology
- Sociology and Political Science top 10%
- Education top 5%
- Oncology
- Topics
- Technology Adoption and User Behaviour (12 papers)Digital Marketing and Social Media (10 papers)Knowledge Management and Sharing (4 papers)
- Journals
- International Journal of Molecular SciencesComputers in Human BehaviorExpert Systems with Applications
- Partner nations
- TaiwanChinaUnited Kingdom
In The Last Decade
Wen-Shan Lin
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Information Systems and Management 397
- Molecular Biology 317
- Sociology and Political Science 230
- Education 214
- Oncology 178
Countries citing papers authored by Wen-Shan Lin
This map shows the geographic impact of Wen-Shan 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 Wen-Shan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Shan Lin more than expected).
Fields of papers citing papers by Wen-Shan Lin
This network shows the impact of papers produced by Wen-Shan 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 Wen-Shan Lin. The network helps show where Wen-Shan Lin may publish in the future.
Co-authorship network of co-authors of Wen-Shan Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Shan Lin. A scholar is included among the top collaborators of Wen-Shan 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 Wen-Shan Lin. Wen-Shan 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 | 4 | |
| 2 | 11 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 12 | |
| 7 | The Roles of Cyclin-Dependent Kinases in Cell-Cycle Progression and Therapeutic Strategies in Human Breast Cancerbreakdown → | 434 |
| 8 | 117 | |
| 9 | 19 | |
| 10 | 8 | |
| 11 | 52 | |
| 12 | A research framework of crowdfunding platform usage | 1 |
| 13 | 7 | |
| 14 | 3 | |
| 15 | What motivates people to search online? Antecedences and comparisons among different buyers | 2 |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 135 | |
| 20 | 0 |
About Wen-Shan Lin
Wen-Shan Lin is a scholar working on Information Systems and Management, Marketing and Communication, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (12 papers), Digital Marketing and Social Media (10 papers) and Knowledge Management and Sharing (4 papers). The work is most often cited by research in Information Systems and Management (397 citations), Computer Science Applications (114 citations) and Communication (112 citations). Wen-Shan Lin has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Chun‐Hsien Wang, Jia‐Rong Yeh, Lei Ding, Jiaqi Cao, Min Yu, Jie Lin, Qinghua Cui, Hongjian Chen, Huan Gu and Qinghua Cui. Their work appears in journals such as International Journal of Molecular Sciences, Computers in Human Behavior and Expert Systems with Applications.
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.