Yi Lin

78 papers receiving 8.9k citations

Yi Lin's Hit Papers

Model selection and estimation in the Gaussian graphical model 2007 · 1.0k citations
1.0k0+7+14Years since publication10002.0k3.0k4.0k

Peers

Yi Lin
Comparison fields: 5 of 200
  • Statistics and Probability 3.1k
  • Computational Mathematics 59
  • Artificial Intelligence 3.1k
  • Computer Vision and Pattern Recognition 1.8k
  • Computational Mechanics 1.6k
Replace Ji Zhu with:
Ji Zhu United States
J. S. Marron United States
Ming Yuan United States
Arthur Gretton Germany
B. W. Silverman United Kingdom
Mark Girolami United Kingdom
Peter Hall Australia
Peter L. Bartlett United States
Olivier Bousquet France
Francis Bach France
Yi Lin relative to Ji Zhu United States Ji Zhu's profile →
Citations per field
00.5×1.7×
Ji Zhu · 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 84 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 →
20054867
2
Model selection and estimation in the Gaussian graphical model
Hit paper breakdown →
20071007
3
Multicategory Support Vector Machines
Hit paper breakdown →
2004539
4 2006383
5 2006339
6 2002293
7 2002192
8 2007187
9
A NOTE ON THE LASSO AND RELATED PROCEDURES IN MODEL SELECTION
2006173
10 2020151
11 2004135
12 2005130
13
On the Support Vector Machine
2003122
14 200088
15 201863
16 200755
17 200451
18
Prediction cubes
200548
19 202047
20 200039

About Yi Lin

Yi Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistics and Probability, Global and Planetary Change and Media Technology, having authored 84 papers that have together received 9.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Remote Sensing and Land Use (12 papers), Land Use and Ecosystem Services (12 papers), Remote-Sensing Image Classification (12 papers), Advanced Statistical Methods and Models (11 papers), Face and Expression Recognition (9 papers), Control Systems and Identification (7 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Statistics and Probability (3.1k citations), Computational Mathematics (59 citations), Artificial Intelligence (3.1k citations), Computer Vision and Pattern Recognition (1.8k citations) and Computational Mechanics (1.6k 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, Yongho Jeon, Chenlei Leng, Jie Yu, Jinsong Deng, C.Y. Jim and Zifeng Wang. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Remote Sensing, Journal of the American Statistical Association, Statistica Sinica and IEEE Transactions on Geoscience and Remote Sensing.

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.

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