Bing‐Yi Jing

3.4k total citations
102 papers, 2.3k citations indexed

About

Bing‐Yi Jing is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Bing‐Yi Jing has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistics and Probability, 26 papers in Finance and 25 papers in Artificial Intelligence. Recurrent topics in Bing‐Yi Jing's work include Statistical Methods and Inference (44 papers), Financial Risk and Volatility Modeling (25 papers) and Bayesian Methods and Mixture Models (18 papers). Bing‐Yi Jing is often cited by papers focused on Statistical Methods and Inference (44 papers), Financial Risk and Volatility Modeling (25 papers) and Bayesian Methods and Mixture Models (18 papers). Bing‐Yi Jing collaborates with scholars based in Hong Kong, China and Singapore. Bing‐Yi Jing's co-authors include Peter Hall, Joël L. Horowitz, Han‐Ying Liang, Qiying Wang, Qihua Wang, Gengsheng Qin, Xinbing Kong, Qi-Man Shao, Zhou Wang and Jianhua Guo and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

Bing‐Yi Jing

95 papers receiving 2.1k citations

Peers

Bing‐Yi Jing
Comparison fields: 5 of 133
  • Statistics and Probability 1.2k
  • Finance 657
  • Artificial Intelligence 458
  • Management Science and Operations Research 426
  • Economics and Econometrics 338
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Chris A. J. Klaassen Netherlands
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Vladimir Spokoiny Germany View profile →
Citations per field, relative to Bing‐Yi Jing
Bing‐Yi Jing · 1×
Citations per year, relative to Bing‐Yi Jing
Bing‐Yi Jing · 1×

Countries citing papers authored by Bing‐Yi Jing

Since Specialization
Citations

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

Fields of papers citing papers by Bing‐Yi Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing‐Yi Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Bing‐Yi Jing. A scholar is included among the top collaborators of Bing‐Yi Jing 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 Bing‐Yi Jing. Bing‐Yi Jing 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 12
4 17
5 5
6 1
7 2
8 6
9 1
10 5
11 26
12 22
13 53
14 0
15 99
16 8
17
Smoothed empirical likelihood confidence intervals for the difference of quantiles
21
18 13
19 28
20
On the sampling window method for long-range dependent data
42

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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