Tianxi Li

929 citations
32 papers · 483 indexed · h-index 11
Topics
Complex Network Analysis Techniques (8 papers)Advanced Data Storage Technologies (4 papers)Bayesian Modeling and Causal Inference (3 papers)

In The Last Decade

Tianxi Li

31 papers receiving 472 citations

Peers

Tianxi Li
Comparison fields: 5 of 130
  • Statistical and Nonlinear Physics 117
  • Molecular Biology 101
  • Artificial Intelligence 92
  • Statistics and Probability 56
  • Plant Science 48
Replace Mehdi Mirzaie with:
Mehdi Mirzaie Iran
Katherine M. Collins United Kingdom
Chee-Keong Kwoh Singapore
Yuan Lin China
Rui Camacho Portugal
Julian Heinrich Germany
Daniel Berrar Japan
Nicole Radde Germany
Changiz Eslahchi Iran
Tianxi Li relative to Mehdi Mirzaie Iran Mehdi Mirzaie's profile →
Citations per field
00.5×10×15×18.7×
Mehdi Mirzaie · 1×
Citations per year

Countries citing papers authored by Tianxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Tianxi Li. A scholar is included among the top collaborators of Tianxi 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 Tianxi Li. Tianxi 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 0
2 1
3 2
4 3
5 5
6 9
7 15
8 2
9
High-dimensional Gaussian graphical models on network-linked data
8
10 23
11 80
12 37
13 28
14 1
15 29
16 10
17 33
18 15
19
Incorporating metadata into dynamic topic analysis
2
20
My Opinion on Nida's Translation Definition ,
1

About Tianxi Li

Tianxi Li is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Hardware and Architecture, having authored 32 papers that have together received 483 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Advanced Data Storage Technologies (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (117 citations), Statistics and Probability (56 citations) and Microbiology (33 citations). Tianxi Li has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Elizaveta Levina, Ji Zhu, Miao Long, Zeliang Chen, Lulu Li, Ji Zhu, Jie Cheng, Prasanna V. Balachandran, Petra Reinke and Alex Deng. Their work appears in journals such as Journal of the American Statistical Association, Journal of Applied Physics and Biometrika.

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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