Yi Lin

80 papers receiving 9.3k citations

Yi Lin's Hit Papers

Model selection and estimation in the Gaussian graphical model 2007 · 1.1k citations
1.1k0+7+14Years since publication10002.0k3.0k4.0k5.0k

Peers

Yi Lin
Comparison fields: 5 of 144
  • Statistics and Probability 3.1k
  • Computational Mathematics 26
  • Artificial Intelligence 834
  • Computational Mechanics 429
  • Environmental Engineering 214
Replace Saharon Rosset with:
Saharon Rosset Israel
Annick M. Leroy Belgium
Bin Yu China
Mia Hubert B Belgium
Olivier Bousquet Germany
Peter L. Bartlett United States
Michael E. Tipping United Kingdom
Elvezio M. Ronchetti Switzerland
Bin Yu United States
B. W. Silverman United Kingdom
Yi Lin relative to Saharon Rosset Israel Saharon Rosset's profile →
Citations per field
00.5×2×4×6×8×9.3×
Saharon Rosset · 1×
Citations per year

Countries citing papers authored by Yi Lin

Since Specialization
Citations

This map shows the geographic impact of Yi 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 Yi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Lin more than expected).

Fields of papers citing papers by Yi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi 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 Yi Lin. The network helps show where Yi Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Yi Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Lin Line = papers co-authored together Yi Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Model Selection and Estimation in Regression with Grouped Variables
Hit paper breakdown →
20055021
2
Model selection and estimation in the Gaussian graphical model
Hit paper breakdown →
20071057
3
Multicategory Support Vector Machines
Hit paper breakdown →
2004548
4 2006385
5 2006349
6 2002287
7 2002189
8 2007181
9
A NOTE ON THE LASSO AND RELATED PROCEDURES IN MODEL SELECTION
2006172
10 2020161
11 2004142
12 2005132
13
On the Support Vector Machine
2003122
14 200087
15 201864
16 200753
17 202051
18
Prediction cubes
200549
19 200447
20 202446

About Yi Lin

Yi Lin is a scholar working on Statistics and Probability, Media Technology, Environmental Chemistry, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 87 papers that have together received 9.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Remote-Sensing Image Classification (10 papers), Aquatic Ecosystems and Phytoplankton Dynamics (3 papers), Environmental Changes in China (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Gene expression and cancer classification (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Statistics and Probability (3.1k citations), Computational Mathematics (26 citations), Artificial Intelligence (834 citations), Computational Mechanics (429 citations) and Environmental Engineering (214 citations). Yi Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ming Yuan, Grace Wahba, Yoonkyung Lee, Hao Helen Zhang, Chenlei Leng, Jie Yu, C.Y. Jim, Jinsong Deng, Zifeng Wang and Jinbao Li. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Journal of the American Statistical Association, Remote Sensing, Statistica Sinica and Biometrika.

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.

Explore authors with similar magnitude of impact