Gaorong Li

1.7k total citations
84 papers, 1.2k citations indexed

About

Gaorong Li is a scholar working on Statistics and Probability, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Gaorong Li has authored 84 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Statistics and Probability, 11 papers in Control and Systems Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Gaorong Li's work include Statistical Methods and Inference (67 papers), Statistical Methods and Bayesian Inference (40 papers) and Advanced Statistical Methods and Models (30 papers). Gaorong Li is often cited by papers focused on Statistical Methods and Inference (67 papers), Statistical Methods and Bayesian Inference (40 papers) and Advanced Statistical Methods and Models (30 papers). Gaorong Li collaborates with scholars based in China, Hong Kong and Singapore. Gaorong Li's co-authors include Heng Peng, Jun Zhang, Heng Lian, Lixing Zhu, Li Zhu, Tiejun Tong, Liugen Xue, Yiping Yang, Lu Lin and Sanying Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and The Annals of Statistics.

In The Last Decade

Gaorong Li

77 papers receiving 1.2k citations

Peers

Gaorong Li
Comparison fields: 5 of 85
  • Statistics and Probability 1.0k
  • Artificial Intelligence 236
  • Control and Systems Engineering 160
  • Economics and Econometrics 138
  • Finance 82
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Qihua Wang China View profile →
Citations per field, relative to Gaorong Li
Gaorong Li · 1×
Citations per year, relative to Gaorong Li
Gaorong Li · 1×

Countries citing papers authored by Gaorong Li

Since Specialization
Citations

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

Fields of papers citing papers by Gaorong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaorong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Gaorong Li. A scholar is included among the top collaborators of Gaorong Li 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 Gaorong Li. Gaorong Li 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 0
2 0
3 0
4 2
5 3
6 1
7 15
8 3
9 0
10 2
11 14
12 21
13 19
14 35
15
NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS
74
16 20
17 3
18 16
19
EMPIRICAL LIKELIHOOD INFERENCE OF LINEAR ERRORS-IN-VARIABLES MODELS UNDER VALIDATION DATA FOR MISSING RESPONSE DATA
1
20 41

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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