Chunwei Wang

3.1k total citations · 1 hit paper
24 papers, 2.4k citations indexed

About

Chunwei Wang is a scholar working on Management Science and Operations Research, Demography and Finance. According to data from OpenAlex, Chunwei Wang has authored 24 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 8 papers in Demography and 6 papers in Finance. Recurrent topics in Chunwei Wang's work include Probability and Risk Models (11 papers), Insurance, Mortality, Demography, Risk Management (8 papers) and Stochastic processes and financial applications (6 papers). Chunwei Wang is often cited by papers focused on Probability and Risk Models (11 papers), Insurance, Mortality, Demography, Risk Management (8 papers) and Stochastic processes and financial applications (6 papers). Chunwei Wang collaborates with scholars based in China, United States and Taiwan. Chunwei Wang's co-authors include David J. Lockhart, Mark S. Chee, Michiko Kobayashi, Michael C. Byrne, Maximillian T. Follettie, Eugene L. Brown, Helin Dong, Michael Mittmann, Chuancun Yin and Changlin Mei and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Applied Mathematics and Computation.

In The Last Decade

Chunwei Wang

19 papers receiving 2.3k citations

Hit Papers

Expression monitoring by hybridization to high-density ol... 1996 2026 2006 2016 1996 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chunwei Wang China 8 1.9k 268 163 152 110 24 2.4k
Chen Jia China 26 1.1k 0.6× 301 1.1× 118 0.7× 137 0.9× 124 1.1× 126 2.0k
Fedor Kolpakov Russia 18 1.4k 0.8× 251 0.9× 242 1.5× 147 1.0× 40 0.4× 75 1.9k
Dong Deng China 16 1.4k 0.7× 186 0.7× 213 1.3× 69 0.5× 138 1.3× 42 2.3k
Ivan Merelli Italy 22 1.3k 0.7× 407 1.5× 128 0.8× 208 1.4× 81 0.7× 144 2.0k
Michael Mittmann United States 4 2.6k 1.4× 364 1.4× 202 1.2× 195 1.3× 155 1.4× 4 3.1k
Yukiko Matsuoka Japan 13 1.6k 0.9× 118 0.4× 146 0.9× 125 0.8× 90 0.8× 20 2.2k
Gang Feng China 20 1.3k 0.7× 303 1.1× 230 1.4× 179 1.2× 53 0.5× 45 2.0k
Martijn van Iersel Netherlands 13 1.5k 0.8× 160 0.6× 169 1.0× 102 0.7× 49 0.4× 22 1.9k
Thomas Sauter Luxembourg 25 1.8k 1.0× 236 0.9× 274 1.7× 198 1.3× 201 1.8× 106 2.5k
Wilson Wen Bin Goh Singapore 23 1.2k 0.6× 142 0.5× 172 1.1× 190 1.3× 93 0.8× 102 2.2k

Countries citing papers authored by Chunwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunwei Wang

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

All Works

20 of 20 papers shown
1.
Wang, Chunwei, et al.. (2024). Functional Fitness Norms of Community-Dwelling Older Adults in Southern Rural Taiwan: A Cross-Sectional Study. Healthcare. 12(2). 213–213. 5 indexed citations
2.
Wang, Chunwei, et al.. (2024). Numerical method for a compound Poisson risk model with liquid reserves and proportional investment. AIMS Mathematics. 9(5). 10893–10910. 1 indexed citations
3.
Wang, Chunwei, et al.. (2024). The Perturbed Compound Poisson Risk Model with Proportional Investment. Acta Mathematicae Applicatae Sinica English Series. 40(1). 109–128.
5.
Wang, Chunwei, et al.. (2023). Two-sided jumps risk model with proportional investment and random observation periods. AIMS Mathematics. 8(9). 22301–22318. 1 indexed citations
6.
Wang, Chunwei, et al.. (2023). Numerical Method for a Risk Model with Two-Sided Jumps and Proportional Investment. Mathematics. 11(7). 1584–1584. 2 indexed citations
7.
Wang, Chunwei, et al.. (2022). Numerical Method for a Perturbed Risk Model with Proportional Investment. Mathematics. 11(1). 43–43. 3 indexed citations
8.
Wang, Chunwei, et al.. (2020). Study on Backward Scattering Characteristics of Submicron Particles. Optics and Photonics Journal. 10(5). 79–87. 5 indexed citations
9.
Du, Xigang & Chunwei Wang. (2020). Crystal structure of bis(6-aminopyridine-2-carboxylato-κ2 O,N)-copper(II), C12H10O6N4Cu. SHILAP Revista de lepidopterología. 235(5). 1007–1008. 3 indexed citations
10.
Wang, Chunwei, et al.. (2015). Re-weighting estimation of the coefficients in the varying coefficient model with heteroscedastic errors. Journal of Statistical Computation and Simulation. 86(10). 1921–1935. 3 indexed citations
11.
Wang, Chunwei, et al.. (2014). Testing Heteroscedasticity in Nonparametric Regression Based on Trend Analysis. Journal of Applied Mathematics. 2014. 1–5. 3 indexed citations
12.
Mei, Changlin, et al.. (2013). Estimation and inference of semi-varying coefficient models with heteroscedastic errors. Journal of Multivariate Analysis. 124. 70–93. 14 indexed citations
13.
Wang, Chunwei. (2011). Discussion of Improving Learning Interest of Basic Chemistry. Guangzhou Chemical Industry.
14.
Yin, Chuancun & Chunwei Wang. (2009). Optimality of the barrier strategy in de Finetti’s dividend problem for spectrally negative Lévy processes: An alternative approach. Journal of Computational and Applied Mathematics. 233(2). 482–491. 15 indexed citations
15.
Wang, Chunwei, et al.. (2009). On the classical risk model with credit and debit interests under absolute ruin. Statistics & Probability Letters. 80(5-6). 427–436. 15 indexed citations
16.
Yin, Chuancun & Chunwei Wang. (2008). The Perturbed Compound Poisson Risk Process with Investment and Debit Interest. Methodology And Computing In Applied Probability. 12(3). 391–413. 80 indexed citations
17.
Wang, Chunwei & Chuancun Yin. (2008). Dividend payments in the classical risk model under absolute ruin with debit interest. Applied Stochastic Models in Business and Industry. 25(3). 247–262. 11 indexed citations
18.
Pierce, Michael, et al.. (2003). A High-Throughput, Homogeneous Microplate Assay for Agents That Kill Mammalian Tissue Culture Cells. SLAS DISCOVERY. 8(3). 283–291. 7 indexed citations
19.
Lockhart, David J., Helin Dong, Michael C. Byrne, et al.. (1996). Expression monitoring by hybridization to high-density oligonucleotide arrays. Nature Biotechnology. 14(13). 1675–1680. 2246 indexed citations breakdown →
20.
Kamb, Alexander, Chunwei Wang, Alun Thomas, et al.. (1995). Software Trapping: A Strategy for Finding Genes in Large Genomic Regions. Computers and Biomedical Research. 28(2). 140–153. 10 indexed citations

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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