Runze Li

30.0k citations
393 papers · 18.6k indexed · 6 hit papers · h-index 54

Runze Li

366 papers receiving 17.9k citations

Hit Papers

Superiority ...418200120262009201710002.0k3.0k4.0k5.0k

Peers

Runze Li
Comparison fields: 5 of 226
  • Statistics and Probability 9.1k
  • Computational Mathematics 76
  • Statistics, Probability and Uncertainty 801
  • Artificial Intelligence 3.5k
  • Management Science and Operations Research 1.0k
Replace Hui Zou with:
Hui Zou United States
Tommaso Cai Italy
R. Dennis Cook United States
Peter Bühlmann Switzerland
Geoffrey J. McLachlan Australia
Raymond J. Carroll United States
Peter J. Bickel United States
T. W. Anderson United States
George Casella United States
Arthur E. Hoerl United States
Runze Li relative to Hui Zou United States Hui Zou's profile →
Citations per field
00.5×1.5×
Hui Zou · 1×
Citations per year

Countries citing papers authored by Runze Li

Since Specialization
Citations

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

Fields of papers citing papers by Runze Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Runze Li, 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 Runze Li Line = papers co-authored together Runze Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20242
5 20248
6 20240
7 20241
8 20231
9 20233
10 202341
11 20236
12 202395
13 20234
14 202320
15 20214
16 202013
17
Online sufficient dimension reduction through sliced inverse regression
202025
18
Sensitivity and specificity of information criteriabreakdown →
2019381
19 201731
20 201184

About Runze Li

Runze Li is a scholar working on Statistics and Probability, Applied Psychology and Statistics, Probability and Uncertainty, having authored 393 papers that have together received 18.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (120 papers), Advanced Statistical Methods and Models (60 papers), Statistical Methods and Bayesian Inference (58 papers), Bayesian Methods and Mixture Models (36 papers), Behavioral Health and Interventions (17 papers), Optimal Experimental Design Methods (17 papers), Control Systems and Identification (17 papers) and Smoking Behavior and Cessation (16 papers). The work is most often cited by research in Statistics and Probability (9.1k citations), Computational Mathematics (76 citations) and Statistics, Probability and Uncertainty (801 citations). Runze Li has collaborated with scholars based in United States, China and Macao. Frequent co-authors include Jianqing Fan, Dingsheng Wang, Li Zhu, Hansheng Wang, Hua Liang, C.-L. Tsai, John J. Dziak, Hui Zou, Wei Zhong and Bo Kai. Their work appears in journals such as Journal of the American Statistical Association, Statistica Sinica, The Annals of Statistics, Journal of Econometrics and Journal of Multivariate Analysis.

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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