Jinglai Li

136 total papers · 1.4k total citations
73 papers, 995 citations indexed

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 73 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics, Probability and Uncertainty, 17 papers in Artificial Intelligence and 14 papers in Statistics and Probability. Recurrent topics in Jinglai Li's work include Probabilistic and Robust Engineering Design (19 papers), Gaussian Processes and Bayesian Inference (11 papers) and Markov Chains and Monte Carlo Methods (9 papers). Jinglai Li is often cited by papers focused on Probabilistic and Robust Engineering Design (19 papers), Gaussian Processes and Bayesian Inference (11 papers) and Markov Chains and Monte Carlo Methods (9 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, Zhikuan Jia, Fangyuan Huang, Peng Zhang, Zihan Liu, Qifeng Liao, Liang Hong and Qingping Zhou and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Journal of Computational Physics.

In The Last Decade

Jinglai Li

70 papers receiving 946 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jinglai Li	217	184	125	112	100	73	995
Konstantinos C. Zygalakis	72 0.3×	203 1.1×	163 1.3×	149 1.3×	57 0.6×	54	1.0k
Michael H. Davis	39 0.2×	341 1.9×	124 1.0×	128 1.1×	29 0.3×	54	1.2k
Peng Chen	327 1.5×	60 0.3×	26 0.2×	121 1.1×	19 0.2×	86	965
Jingling Zhang	56 0.3×	93 0.5×	23 0.2×	29 0.3×	32 0.3×	90	898
Zhiqiang	30 0.1×	127 0.7×	129 1.0×	22 0.2×	42 0.4×	216	1.2k
Ramiro Rico-Martı́nez	76 0.4×	130 0.7×	87 0.7×	182 1.6×	5 0.1×	67	1.2k
Haibin Chang	88 0.4×	26 0.1×	50 0.4×	102 0.9×	17 0.2×	45	1.1k
Dean Korošak	17 0.1×	104 0.6×	67 0.5×	30 0.3×	47 0.5×	40	1.0k
Philipp Kügler	23 0.1×	412 2.2×	63 0.5×	19 0.2×	27 0.3×	45	916
Christiane Lemieux	228 1.1×	60 0.3×	52 0.4×	115 1.0×	4 0.0×	65	1.2k

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).

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.

Co-authorship network of co-authors of Jinglai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglai Li. A scholar is included among the top collaborators of Jinglai Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinglai Li. Jinglai Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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