W. Sabrina Lin
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems top 10%
- Co-authors
- Matthew C. StammH. Vicky ZhaoK. J. Ray LiuK J R LiuChen‐Wuing LiuK.J. Ray LiuLiang XiaoYan Chen
- Topics
- Peer-to-Peer Network Technologies (8 papers)Sexuality, Behavior, and Technology (7 papers)Advanced Steganography and Watermarking Techniques (6 papers)
- Journals
- IEEE Transactions on Image ProcessingJournal of HydrologyIEEE Transactions on Wireless Communications
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
W. Sabrina Lin
37 papers receiving 640 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 279
- Computer Networks and Communications 218
- Electrical and Electronic Engineering 119
- Artificial Intelligence 73
- Information Systems 72
Countries citing papers authored by W. Sabrina Lin
This map shows the geographic impact of W. Sabrina 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 W. Sabrina Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Sabrina Lin more than expected).
Fields of papers citing papers by W. Sabrina Lin
This network shows the impact of papers produced by W. Sabrina 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 W. Sabrina Lin. The network helps show where W. Sabrina Lin may publish in the future.
Co-authorship network of co-authors of W. Sabrina Lin
This figure shows the co-authorship network connecting the top 25 collaborators of W. Sabrina Lin. A scholar is included among the top collaborators of W. Sabrina 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 W. Sabrina Lin. W. Sabrina 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 | 3 | |
| 2 | 16 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 60 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 16 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 42 | |
| 15 | 71 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | 2 |
About W. Sabrina Lin
W. Sabrina Lin is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Clinical Psychology, having authored 37 papers that have together received 676 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (8 papers), Sexuality, Behavior, and Technology (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Computer Networks and Communications (218 citations) and Law (45 citations). W. Sabrina Lin has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Matthew C. Stamm, H. Vicky Zhao, K. J. Ray Liu, K J R Liu, Chen‐Wuing Liu, K.J. Ray Liu, Liang Xiao, Yan Chen, T. Charles Clancy and Beibei Wang. Their work appears in journals such as IEEE Transactions on Image Processing, Journal of Hydrology and IEEE Transactions on Wireless Communications.
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.