Bing‐Yi Jing

99 papers and 2.2k indexed citations i.

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 99 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Statistics and Probability, 25 papers in Finance and 23 papers in Artificial Intelligence. Recurrent topics in Bing‐Yi Jing’s work include Statistical Methods and Inference (45 papers), Financial Risk and Volatility Modeling (24 papers) and Statistical Distribution Estimation and Applications (18 papers). Bing‐Yi Jing is often cited by papers focused on Statistical Methods and Inference (45 papers), Financial Risk and Volatility Modeling (24 papers) and Statistical Distribution Estimation and Applications (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, Xinbing Kong, Gengsheng Qin, Qi-Man Shao, Zhi Liu and Zhou Wang and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and PLoS ONE.

In The Last Decade

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

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.

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).

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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