Su-In Lee
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Statistics and Probability
- Signal Processing
- Topics
- Gene expression and cancer classification (2 papers)Statistical Methods and Inference (1 paper)Neural Networks and Applications (1 paper)
- Journals
- PubMedNeural Information Processing Systems
- Partner nations
- United States
In The Last Decade
Su-In Lee
3 papers receiving 136 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 95
- Computer Vision and Pattern Recognition 41
- Molecular Biology 32
- Statistics and Probability 18
- Signal Processing 13
Countries citing papers authored by Su-In Lee
This map shows the geographic impact of Su-In Lee'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 Su-In Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-In Lee more than expected).
Fields of papers citing papers by Su-In Lee
This network shows the impact of papers produced by Su-In Lee. 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 Su-In Lee. The network helps show where Su-In Lee may publish in the future.
Co-authorship network of co-authors of Su-In Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Su-In Lee. A scholar is included among the top collaborators of Su-In Lee 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 Su-In Lee. Su-In Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Structured Learning of Gaussian Graphical Models. | 33 |
| 2 | 112 | |
| 3 | ICA-based Clustering of Genes from Microarray Expression Data | 5 |
About Su-In Lee
Su-In Lee is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 3 papers that have together received 150 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Statistical Methods and Inference (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (95 citations), Statistics and Probability (18 citations) and Computer Vision and Pattern Recognition (41 citations). Su-In Lee has collaborated with scholars based in United States. Frequent co-authors include David Vickrey, Daphne Koller, Maryam Fazel, Seungyeop Han, Daniela Witten and Serafim Batzoglou. Their work appears in journals such as PubMed and Neural Information Processing 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.