Qingwu Gao

53 total papers · 739 total citations
42 papers, 549 citations indexed

About

Qingwu Gao is a scholar working on Management Science and Operations Research, Finance and Demography. According to data from OpenAlex, Qingwu Gao has authored 42 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Management Science and Operations Research, 24 papers in Finance and 18 papers in Demography. Recurrent topics in Qingwu Gao's work include Probability and Risk Models (36 papers), Financial Risk and Volatility Modeling (22 papers) and Insurance, Mortality, Demography, Risk Management (18 papers). Qingwu Gao is often cited by papers focused on Probability and Risk Models (36 papers), Financial Risk and Volatility Modeling (22 papers) and Insurance, Mortality, Demography, Risk Management (18 papers). Qingwu Gao collaborates with scholars based in China, United States and Greece. Qingwu Gao's co-authors include Yuebao Wang, Kaiyong Wang, Xijun Liu, Jun Zhuang, Xiuzhu Yang, Na Jin, Houcai Shen, Yawei Li, Yuhua Xu and Changjun Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Mathematical Analysis and Applications.

In The Last Decade

Qingwu Gao

35 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Qingwu Gao	451	231	201	142	137	42	549
A. V. Nagaev	262 0.6×	191 0.8×	46 0.2×	231 1.6×	144 1.1×	53	486
Claudio Macci	154 0.3×	190 0.8×	47 0.2×	73 0.5×	110 0.8×	81	457
A. B. Dieker	211 0.5×	200 0.9×	38 0.2×	116 0.8×	139 1.0×	40	501
Giovanni B. Di Masi	170 0.4×	287 1.2×	66 0.3×	36 0.3×	101 0.7×	26	527
Fuqing Gao	123 0.3×	273 1.2×	36 0.2×	134 0.9×	124 0.9×	56	455
Juan Carlos Pardo	296 0.7×	384 1.7×	62 0.3×	329 2.3×	126 0.9×	53	588
Denis Belomestny	130 0.3×	334 1.4×	47 0.2×	43 0.3×	123 0.9×	79	507
Christian Y. Robert	170 0.4×	251 1.1×	105 0.5×	38 0.3×	82 0.6×	61	491
Radu Theodorescu	156 0.3×	127 0.5×	25 0.1×	112 0.8×	219 1.6×	59	511
Philip S. Griffin	306 0.7×	216 0.9×	43 0.2×	293 2.1×	182 1.3×	46	513

Countries citing papers authored by Qingwu Gao

Since Specialization

Citations

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

Fields of papers citing papers by Qingwu Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingwu Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Qingwu Gao. A scholar is included among the top collaborators of Qingwu Gao 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 Qingwu Gao. Qingwu Gao 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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