Xiaofeng Shao

2.5k citations
68 papers · 1.4k indexed · h-index 22
Topics
Statistical Methods and Inference (41 papers)Financial Risk and Volatility Modeling (26 papers)Complex Systems and Time Series Analysis (12 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Xiaofeng Shao

65 papers receiving 1.4k citations

Peers

Xiaofeng Shao
Comparison fields: 5 of 96
  • Statistics and Probability 822
  • Finance 554
  • Economics and Econometrics 393
  • Artificial Intelligence 263
  • General Economics, Econometrics and Finance 188
Replace Fukang Zhu with:
Fukang Zhu China
Soumendra N. Lahiri United States
Yi‐Ching Yao United States
Nakahiro Yoshida Japan
Fabienne Comte France
Alexander Aue United States
Denis Bosq France
Sidney I. Resnick United States
Jordan Stoyanov United Kingdom
D. S. Poskitt Australia
Xiaofeng Shao relative to Fukang Zhu China Fukang Zhu's profile →
Citations per field
00.5×1.5×2.1×
Fukang Zhu · 1×
Citations per year

Countries citing papers authored by Xiaofeng Shao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Shao. A scholar is included among the top collaborators of Xiaofeng Shao 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 Xiaofeng Shao. Xiaofeng Shao 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 1
2 0
3 0
4 1
5 2
6 4
7 3
8 40
9 69
10 9
11 6
12 12
13 4
14 10
15 36
16
Extended tapered block bootstrap
12
17 2
18 90
19 9
20 4

About Xiaofeng Shao

Xiaofeng Shao is a scholar working on Statistics and Probability, Finance and General Economics, Econometrics and Finance, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (41 papers), Financial Risk and Volatility Modeling (26 papers) and Complex Systems and Time Series Analysis (12 papers). The work is most often cited by research in Statistics and Probability (822 citations), Finance (554 citations) and General Economics, Econometrics and Finance (188 citations). Xiaofeng Shao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xianyang Zhang, Wei Biao Wu, Jingsi Zhang, Stanislav Volgushev, Zifeng Zhao, Zhou Zhou, Changbo Zhu, Chung Eun Lee, Shun Yao and Srijan Sengupta. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of the American Statistical Association 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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