Yong-Hua Mao

About

Yong-Hua Mao is a scholar working on Mathematical Physics, Statistics and Probability and Management Information Systems. According to data from OpenAlex, Yong-Hua Mao has authored 41 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mathematical Physics, 23 papers in Statistics and Probability and 10 papers in Management Information Systems. Recurrent topics in Yong-Hua Mao’s work include Markov Chains and Monte Carlo Methods (20 papers), Stochastic processes and statistical mechanics (17 papers) and Advanced Queuing Theory Analysis (10 papers). Yong-Hua Mao is often cited by papers focused on Markov Chains and Monte Carlo Methods (20 papers), Stochastic processes and statistical mechanics (17 papers) and Advanced Queuing Theory Analysis (10 papers). Yong-Hua Mao collaborates with scholars based in China, Luxembourg and Taiwan. Yong-Hua Mao's co-authors include Chi Zhang, Yuhui Zhang, Hao Cui, Yu Gong, Feng‐Yu Wang, Yuhui Zhang, Lijuan Cheng, Laura Cottatellucci, Feng Wang and Konstantin Avrachenkov and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Frontiers in Endocrinology and Annals of Medicine.

In The Last Decade

Co-authorship network of co-authors of Yong-Hua Mao i

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Fields of papers citing papers by Yong-Hua Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong-Hua Mao. 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 Yong-Hua Mao. The network helps show where Yong-Hua Mao may publish in the future.

Countries citing papers authored by Yong-Hua Mao

Since Specialization

Citations

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