Ying Sheng

47 papers and 478 indexed citations i.

About

Ying Sheng is a scholar working on Molecular Biology, Oncology and Statistics and Probability. According to data from OpenAlex, Ying Sheng has authored 47 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Statistics and Probability. Recurrent topics in Ying Sheng’s work include Advanced Numerical Methods in Computational Mathematics (5 papers), Statistical Methods and Inference (5 papers) and Fractional Differential Equations Solutions (4 papers). Ying Sheng is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (5 papers), Statistical Methods and Inference (5 papers) and Fractional Differential Equations Solutions (4 papers). Ying Sheng collaborates with scholars based in China, United States and Hong Kong. Ying Sheng's co-authors include Liyun Fu, Yaoren Hu, Qingqing Chen, Ting Yao, Chiung‐Yu Huang, Tie Zhang, Junming Guo, Tianwen Li, Thomas G. Martin and Zhong‐Zhong Jiang and has published in prestigious journals such as Blood, Biometrics and Statistics in Medicine.

In The Last Decade

Co-authorship network of co-authors of Ying Sheng i

Fields of papers citing papers by Ying Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Sheng

Since Specialization
Citations

This map shows the geographic impact of Ying Sheng'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 Ying Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Sheng 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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2025