Liang-Sian Lin
- Artificial Intelligence top 10%
- Statistics, Probability and Uncertainty top 5%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Co-authors
- Der‐Chiang LiChien-Chih ChenJong‐Wuu WuJ. T. GuthrieSusan C. HuLongbing CaoTung‐I TsaiChengqi Zhang
- Topics
- Imbalanced Data Classification Techniques (8 papers)Machine Learning and Data Classification (7 papers)Face and Expression Recognition (7 papers)
In The Last Decade
Liang-Sian Lin
30 papers receiving 321 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 127
- Statistics, Probability and Uncertainty 62
- Statistics and Probability 57
- Management Science and Operations Research 50
- Control and Systems Engineering 36
Countries citing papers authored by Liang-Sian Lin
This map shows the geographic impact of Liang-Sian 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 Liang-Sian Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Sian Lin more than expected).
Fields of papers citing papers by Liang-Sian Lin
This network shows the impact of papers produced by Liang-Sian 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 Liang-Sian Lin. The network helps show where Liang-Sian Lin may publish in the future.
Co-authorship network of co-authors of Liang-Sian Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Liang-Sian Lin. A scholar is included among the top collaborators of Liang-Sian 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 Liang-Sian Lin. Liang-Sian 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 27 | |
| 12 | 35 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 28 | |
| 18 | 51 | |
| 19 | 12 | |
| 20 | 19 |
About Liang-Sian Lin
Liang-Sian Lin is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 323 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (8 papers), Machine Learning and Data Classification (7 papers) and Face and Expression Recognition (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (62 citations), Statistics and Probability (57 citations) and Management Science and Operations Research (50 citations). Liang-Sian Lin has collaborated with scholars based in Taiwan, Singapore and China. Frequent co-authors include Der‐Chiang Li, Chien-Chih Chen, Jong‐Wuu Wu, J. T. Guthrie, Susan C. Hu, Longbing Cao, Tung‐I Tsai, Chengqi Zhang, Yu-Xiang Wang and Chih‐Ching Lin. Their work appears in journals such as PLoS ONE, European Journal of Operational Research and Journal of Membrane Science.
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.