Yingxing Li

625 citations
33 papers · 412 indexed · h-index 9
Topics
Statistical Methods and Inference (9 papers)Complex Network Analysis Techniques (6 papers)Advanced Statistical Methods and Models (6 papers)

In The Last Decade

Yingxing Li

31 papers receiving 388 citations

Peers

Yingxing Li
Comparison fields: 5 of 81
  • Statistics and Probability 189
  • Economics and Econometrics 90
  • Finance 83
  • Artificial Intelligence 74
  • Control and Systems Engineering 37
Replace Harry van Zanten with:
Harry van Zanten Netherlands
Cheng Yong Tang United States
Haeran Cho United Kingdom
Clifford Lam United Kingdom
Shurong Zheng China
Xuening Zhu China
Miao Bai-qi China
Taoufik Bouezmarni Canada
Markus Reiß Germany
Yingxing Li relative to Harry van Zanten Netherlands Harry van Zanten's profile →
Citations per field
00.5×5.3×
Harry van Zanten · 1×
Citations per year

Countries citing papers authored by Yingxing Li

Since Specialization
Citations

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

Fields of papers citing papers by Yingxing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingxing Li. A scholar is included among the top collaborators of Yingxing 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 Yingxing Li. Yingxing 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
#WorkIndexed citations
1 3
2 3
3 11
4 1
5 22
6 9
7 5
8 1
9 1
10 2
11 1
12 1
13 10
14 7
15
LIKELIHOOD RATIO TESTS FOR THE MEAN STRUCTURE OF CORRELATED FUNCTIONAL PROCESSES
1
16 63
17
THE ROBUST SYNCHRONIZATION PROBLEM OF COMPLEX DYNAMICAL NETWORKS
3
18
Bivariate Penalized Splines
1
19
On Comprehensive Quality Evaluation for SCADA System Based on Entropy Weight
1
20 29

About Yingxing Li

Yingxing Li is a scholar working on Statistics and Probability, Finance and Statistical and Nonlinear Physics, having authored 33 papers that have together received 412 indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Complex Network Analysis Techniques (6 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics and Probability (189 citations), Computational Mathematics (6 citations) and Finance (83 citations). Yingxing Li has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include David Ruppert, Luo Xiao, Qian Han, Kai Wu, Haiqiang Chen, Megu Ohtaki, Li Zhu, Ciprian M. Crainiceanu, Ana‐Maria Staicu and Wolfgang Karl Härdle. Their work appears in journals such as Management Science, Biometrika and Journal of Econometrics.

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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