Shengwang Meng

451 total citations
21 papers, 314 citations indexed

About

Shengwang Meng is a scholar working on Management Science and Operations Research, Economics and Econometrics and Demography. According to data from OpenAlex, Shengwang Meng has authored 21 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 10 papers in Economics and Econometrics and 10 papers in Demography. Recurrent topics in Shengwang Meng's work include Insurance and Financial Risk Management (10 papers), Insurance, Mortality, Demography, Risk Management (10 papers) and Probability and Risk Models (10 papers). Shengwang Meng is often cited by papers focused on Insurance and Financial Risk Management (10 papers), Insurance, Mortality, Demography, Risk Management (10 papers) and Probability and Risk Models (10 papers). Shengwang Meng collaborates with scholars based in China, Australia and Switzerland. Shengwang Meng's co-authors include Mario V. Wüthrich, Yanbing Bai, G. À. Whitmore, Yuan Wei, Junjie Hu, Yanlin Shi, Jinhua Su, Xing Liu, Shunichi Koshimura and Erick Mas and has published in prestigious journals such as Sensors, Remote Sensing and Decision Support Systems.

In The Last Decade

Shengwang Meng

19 papers receiving 308 citations

Peers

Countries citing papers authored by Shengwang Meng

Since Specialization

Citations

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

Fields of papers citing papers by Shengwang Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengwang Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Shengwang Meng. A scholar is included among the top collaborators of Shengwang Meng 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 Shengwang Meng. Shengwang Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	What can we learn from telematics car driving data: A survey 2022 ·Insurance Mathematics and Economics ·(unknown), Shengwang Meng, Mario V. Wüthrich	16
2	Actuarial intelligence in auto insurance: Claim frequency modeling with driving behavior features and improved boosted trees 2022 ·Insurance Mathematics and Economics ·Shengwang Meng, (unknown), (unknown)	19
3	Evaluation and interpretation of driving risks: Automobile claim frequency modeling with telematics data 2022 ·Statistical Analysis and Data Mining The ASA Data Science Journal ·(unknown), (unknown), Shengwang Meng	2
4	Return Period Evaluation of the Largest Possible Earthquake Magnitudes in Mainland China Based on Extreme Value Theory 2021 ·Sensors ·Ning Ma, Yanbing Bai, Shengwang Meng	8
5	Dispersion modelling of outstanding claims with double Poisson regression models 2021 ·Insurance Mathematics and Economics ·(unknown), Shengwang Meng, Yanlin Shi	3
6	IMPROVING AUTOMOBILE INSURANCE CLAIMS FREQUENCY PREDICTION WITH TELEMATICS CAR DRIVING DATA 2021 ·Astin Bulletin ·Shengwang Meng, He Wang, Yanlin Shi, (unknown)	14
7	A Bayesian nonparametric model and its application in insurance loss prediction 2020 ·Insurance Mathematics and Economics ·(unknown), Shengwang Meng	7
8	GENERALIZING THE LOG-MOYAL DISTRIBUTION AND REGRESSION MODELS FOR HEAVY-TAILED LOSS DATA 2020 ·Astin Bulletin ·(unknown), Jan Beirlant, Shengwang Meng	11
9	Pyramid Pooling Module-Based Semi-Siamese Network: A Benchmark Model for Assessing Building Damage from xBD Satellite Imagery Datasets 2020 ·Remote Sensing ·Yanbing Bai, Junjie Hu, Jinhua Su, Xing Liu, (unknown), (unknown), Shengwang Meng, Erick Mas, Shunichi Koshimura	48
10	Automobile insurance classification ratemaking based on telematics driving data 2019 ·Decision Support Systems ·(unknown), Shengwang Meng	82
11	Optimal insurance design under background risk with dependence 2018 ·Insurance Mathematics and Economics ·(unknown), Shengwang Meng, Leping Liu, (unknown)	8
12	COMPOUND POISSON CLAIMS RESERVING MODELS: EXTENSIONS AND INFERENCE 2018 ·Astin Bulletin ·Shengwang Meng, (unknown)	1
13	Claims Frequency Modeling Using Telematics Car Driving Data 2018 ·SSRN Electronic Journal ·(unknown), Shengwang Meng, Mario V. Wüthrich	4
14	Claims frequency modeling using telematics car driving data 2018 ·Scandinavian Actuarial Journal ·(unknown), Shengwang Meng, Mario V. Wüthrich	54
15	STOCHASTIC CLAIMS RESERVING VIA A BAYESIAN SPLINE MODEL WITH RANDOM LOSS RATIO EFFECTS 2017 ·Astin Bulletin ·(unknown), Shengwang Meng	1
16	Dependence analysis of regression models in time series 2012 ·Journal of Systems Science and Complexity ·(unknown), Maochao Xu, Shengwang Meng	0
17	Optimal reinsurance with concave ceded loss functions under VaR and CTE risk measures 2012 ·Insurance Mathematics and Economics ·(unknown), (unknown), Shengwang Meng	12
18	An Application of Generalized Linear Model to Automotor Insurance Pricing 2007 ·Application of Statistics and Management ·Shengwang Meng	1
19	Actuarial Models of Automobile Insurance and Their Application in China 2001 ·Application of Statistics and Management ·Shengwang Meng	0
20	Accounting for Individual Over-Dispersion in a Bonus-Malus Automobile Insurance System 1999 ·Astin Bulletin ·Shengwang Meng, Yuan Wei, G. À. Whitmore	22

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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