Ming Yuan

17.7k total citations · 2 hit papers
174 papers, 10.6k citations indexed

About

Ming Yuan is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ming Yuan has authored 174 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Statistics and Probability, 42 papers in Molecular Biology and 39 papers in Artificial Intelligence. Recurrent topics in Ming Yuan's work include Statistical Methods and Inference (46 papers), Sparse and Compressive Sensing Techniques (30 papers) and Advanced Statistical Methods and Models (22 papers). Ming Yuan is often cited by papers focused on Statistical Methods and Inference (46 papers), Sparse and Compressive Sensing Techniques (30 papers) and Advanced Statistical Methods and Models (22 papers). Ming Yuan collaborates with scholars based in United States, China and Hong Kong. Ming Yuan's co-authors include Yi Lin, Hui Zou, Tommaso Cai, Cun‐Hui Zhang, Christina Kendziorski, Vladimir Koltchinskii, Zhaosong Lu, Renato D. C. Monteiro, Han Liu and Fang Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and The Journal of Immunology.

In The Last Decade

Ming Yuan

162 papers receiving 10.2k citations

Hit Papers

Model Selection and Estimation in Regression with Grouped... 2005 2026 2012 2019 2005 2007 1000 2.0k 3.0k 4.0k

Peers

Ming Yuan
Comparison fields: 5 of 209
  • Statistics and Probability 4.0k
  • Artificial Intelligence 2.9k
  • Molecular Biology 2.0k
  • Computational Mechanics 1.9k
  • Computer Vision and Pattern Recognition 1.3k
Replace Yi Lin with:
Yi Lin China
Ji Zhu United States
J. S. Marron United States
Saharon Rosset Israel
Martin J. Wainwright United States
Xiaotong Shen United States
Mark Girolami United Kingdom
Luc Devroye Canada
Jian Huang United States
Massimiliano Pontil United Kingdom
Yi Lin China View profile →
Citations per field, relative to Ming Yuan
Ming Yuan · 1×
Citations per year, relative to Ming Yuan
Ming Yuan · 1×

Countries citing papers authored by Ming Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yuan. A scholar is included among the top collaborators of Ming Yuan 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 Ming Yuan. Ming Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 9
3 5
4
Tests of Asset Pricing Models with A Large Number of Assets
1
5 17
6 9
7
Stochastic Optimization of Nonlinear Nanophotonic Media for Artificial Neural Inference
0
8 10
9
Learning Networks of Heterogeneous Influence
74
10
LASSO model adaptation for automatic speech recognition
7
11
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming
191
12
Classification Methods with Reject Option Based on Convex Risk Minimization
56
13 2
14
SIMULATION OF FREE SURFACE WITH PHASE CHANGE BASED ON A VOF METHOD
4
15 1
16
The Dynamic Data Forecasting Method and Its Application Based on Power Spectrum Estimation by Maximum Entropy Method
1
17
A TENTATIVE DISCUSSION ON THE RESOLUTION OF THE GROUND-PENETRATING RADAR
1
18
Preparation of Ultrafine ZnO by Ammonia Direct Precipitation Method
1
19
GROUND SUBSIDENCE DISASTER AND ORIGIN ANALYSIS IN SUZHOU
1
20
The application of OPC technology to a fieldbus control system
0

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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