Jinglai Li

75 papers and 923 indexed citations i.

About

Jinglai Li is a scholar working on Statistics, Probability and Uncertainty, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Jinglai Li has authored 75 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics, Probability and Uncertainty, 18 papers in Artificial Intelligence and 16 papers in Statistics and Probability. Recurrent topics in Jinglai Li’s work include Probabilistic and Robust Engineering Design (20 papers), Gaussian Processes and Bayesian Inference (13 papers) and Markov Chains and Monte Carlo Methods (10 papers). Jinglai Li is often cited by papers focused on Probabilistic and Robust Engineering Design (20 papers), Gaussian Processes and Bayesian Inference (13 papers) and Markov Chains and Monte Carlo Methods (10 papers). Jinglai Li collaborates with scholars based in China, United Kingdom and United States. Jinglai Li's co-authors include Youssef Marzouk, Dongbin Xiu, Jing Li, Zihan Liu, Fangyuan Huang, Peng Zhang, Zhikuan Jia, Liang Hong, Juan J. Loor and Gino Biondini and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Co-authorship network of co-authors of Jinglai Li i

Fields of papers citing papers by Jinglai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jinglai Li

Since Specialization
Citations

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