Jingjing Yin

About

Jingjing Yin is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jingjing Yin has authored 90 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 15 papers in Artificial Intelligence and 15 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jingjing Yin’s work include Statistical Methods and Inference (11 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical Distribution Estimation and Applications (9 papers). Jingjing Yin is often cited by papers focused on Statistical Methods and Inference (11 papers), Statistical Methods and Bayesian Inference (9 papers) and Statistical Distribution Estimation and Applications (9 papers). Jingjing Yin collaborates with scholars based in United States, China and Hong Kong. Jingjing Yin's co-authors include Lili Tian, Atin Adhikari, Isaac Chun‐Hai Fung, Haresh Rochani, Hani M. Samawi, Zion Tsz Ho Tse, Corey H. Basch, King‐Wa Fu, Hai Liang and Gulzar H. Shah and has published in prestigious journals such as Angewandte Chemie International Edition, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Jingjing Yin i

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Fields of papers citing papers by Jingjing Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jingjing Yin

Since Specialization

Citations

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