Yi‐Ching Yao

2.2k citations
76 papers · 1.3k indexed · h-index 12
Topics
Stochastic processes and financial applications (11 papers)Statistical Methods and Inference (10 papers)Advanced Statistical Process Monitoring (9 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Yi‐Ching Yao

61 papers receiving 1.2k citations

Peers

Yi‐Ching Yao
Comparison fields: 5 of 114
  • Statistics and Probability 622
  • Finance 356
  • Economics and Econometrics 295
  • Artificial Intelligence 216
  • General Economics, Econometrics and Finance 200
Replace Thomas A. Severini with:
Thomas A. Severini United States
Lixing Zhu China
N. Balakrishnan Netherlands
Bing‐Yi Jing Hong Kong
Sangyeol Lee South Korea
D. L. McLeish Canada
A. J. Lawrance United Kingdom
I. V. Basawa United States
Ibrahim A. Ahmad United States
P. J. Harrison United Kingdom
Yi‐Ching Yao relative to Thomas A. Severini United States Thomas A. Severini's profile →
Citations per field
00.5×1.5×2.4×
Thomas A. Severini · 1×
Citations per year

Countries citing papers authored by Yi‐Ching Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ching Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Ching Yao. 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 Yi‐Ching Yao. The network helps show where Yi‐Ching Yao may publish in the future.

Co-authorship network of co-authors of Yi‐Ching Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Ching Yao. A scholar is included among the top collaborators of Yi‐Ching Yao 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 Yi‐Ching Yao. Yi‐Ching Yao 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 0
3
LEAST-SQUARES ESTIMATION OF A STEP FUNCTION
53
4 2
5 3
6 0
7 2
8 1
9 1
10 7
11 4
12 7
13 0
14 13
15 8
16 10
17 3
18 1
19 98
20 107

About Yi‐Ching Yao

Yi‐Ching Yao is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 76 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Statistical Methods and Inference (10 papers) and Advanced Statistical Process Monitoring (9 papers). The work is most often cited by research in Statistics and Probability (622 citations), Finance (356 citations) and Statistics, Probability and Uncertainty (181 citations). Yi‐Ching Yao has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Yury A. Kutoyants, Gordon Simons, F. K. Hwang, Richard A. Davis, Dawei Huang, Frank K. Hwang, Robert W. Chen, Cun‐Hui Zhang, L. A. Shepp and Tze Leung Lai. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and IEEE Transactions on Information Theory.

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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