Dingcheng Wang

877 total citations
69 papers, 629 citations indexed

About

Dingcheng Wang is a scholar working on Management Science and Operations Research, Finance and Demography. According to data from OpenAlex, Dingcheng Wang has authored 69 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Management Science and Operations Research, 29 papers in Finance and 24 papers in Demography. Recurrent topics in Dingcheng Wang's work include Probability and Risk Models (45 papers), Insurance, Mortality, Demography, Risk Management (24 papers) and Financial Risk and Volatility Modeling (23 papers). Dingcheng Wang is often cited by papers focused on Probability and Risk Models (45 papers), Insurance, Mortality, Demography, Risk Management (24 papers) and Financial Risk and Volatility Modeling (23 papers). Dingcheng Wang collaborates with scholars based in China, Australia and Greece. Dingcheng Wang's co-authors include Qihe Tang, C. C. Heyde, Qunying Wu, Qingxia Zhang, Jie Huang, Ting‐Zhu Huang, Shih‐Tung Liu, Yu‐Sun Chang, Shu‐Fen Chang and Jing Chen and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Journal of Mathematical Analysis and Applications and Knowledge-Based Systems.

In The Last Decade

Dingcheng Wang

65 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingcheng Wang China 15 394 263 244 78 74 69 629
Małgorzata M. O’Reilly Australia 15 121 0.3× 45 0.2× 15 0.1× 30 0.4× 75 1.0× 44 691
Xunjing Li China 9 217 0.6× 589 2.2× 233 1.0× 134 1.7× 48 0.6× 19 1.6k
S. Ravi India 8 75 0.2× 99 0.4× 12 0.0× 26 0.3× 172 2.3× 36 456
Reiichiro Kawai Japan 15 132 0.3× 349 1.3× 35 0.1× 79 1.0× 155 2.1× 76 730
Xinpeng Li China 9 80 0.2× 165 0.6× 24 0.1× 23 0.3× 36 0.5× 23 339
John W. Lau Australia 9 30 0.1× 193 0.7× 59 0.2× 13 0.2× 103 1.4× 33 532
Qingshuo Song United States 14 86 0.2× 244 0.9× 56 0.2× 28 0.4× 31 0.4× 48 420
Mojtaba Nourian Canada 11 58 0.1× 209 0.8× 44 0.2× 16 0.2× 9 0.1× 20 501
Walid Emam Saudi Arabia 12 113 0.3× 29 0.1× 26 0.1× 4 0.1× 204 2.8× 93 480

Countries citing papers authored by Dingcheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingcheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingcheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingcheng Wang. A scholar is included among the top collaborators of Dingcheng 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 Dingcheng Wang. Dingcheng 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.
Dobigeon, Nicolas, et al.. (2024). CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors. Information Fusion. 107. 102313–102313. 8 indexed citations
2.
Konstantinides, Dimitrios G., et al.. (2024). Multivariate regularly varying insurance and financial risks in multidimensional risk models. Journal of Applied Probability. 61(4). 1319–1342. 1 indexed citations
3.
Wang, Dingcheng, et al.. (2021). Endmember Constraint Non-Negative Tensor Factorization Via Total Variation for Hyperspectral Unmixing. 3313–3316. 2 indexed citations
4.
5.
Chen, Beijing, et al.. (2019). Block-Wise Two Dimensional Kernel Quaternion Principal Component Analysis. Beijing Youdian Xueyuan xuebao. 42(1). 53. 1 indexed citations
6.
Wang, Dingcheng, et al.. (2019). Complete and complete moment convergence for weighted sums of arrays of rowwise negatively dependent random variables under the sub-linear expectations. Communication in Statistics- Theory and Methods. 50(3). 594–608. 8 indexed citations
7.
Wang, Dingcheng, et al.. (2019). Convergence for Sums of Asymptotically Almost Negatively Associated Random Variables. 35(4). 345–359. 1 indexed citations
8.
Wang, Dingcheng, et al.. (2018). Uniform asymptotics for ruin probabilities in a two-dimensional nonstandard renewal risk model with stochastic returns. Journal of Inequalities and Applications. 2018(1). 319–319. 4 indexed citations
9.
Wang, Dingcheng, et al.. (2017). Asymptotic results for ruin probability in a two-dimensional risk model with stochastic investment returns. Journal of Computational and Applied Mathematics. 325. 198–221. 11 indexed citations
10.
Wang, Dingcheng, et al.. (2016). An almost sure central limit theorem for self-normalized weighted sums of the φ mixing random variables. Journal of Mathematical Inequalities. 233–245. 2 indexed citations
11.
Zhang, Hui, Q. M. Jonathan Wu, Yuhui Zheng, Thanh Minh Nguyen, & Dingcheng Wang. (2014). Effective fuzzy clustering algorithm with Bayesian model and mean template for image segmentation. IET Image Processing. 8(10). 571–581. 17 indexed citations
12.
Wang, Dingcheng, et al.. (2013). Finite- and Infinite-Time Ruin Probabilities with General Stochastic Investment Return Processes and Bivariate Upper Tail Independent and Heavy-Tailed Claims. Advances in Applied Probability. 45(1). 241–273. 11 indexed citations
13.
Wang, Dingcheng, et al.. (2013). Finite- and Infinite-Time Ruin Probabilities with General Stochastic Investment Return Processes and Bivariate Upper Tail Independent and Heavy-Tailed Claims. Advances in Applied Probability. 45(1). 241–273. 2 indexed citations
14.
Wang, Dingcheng. (2013). A risky asset model based on Lévy processes and asymptotically self-similar activity time processes with long-range dependence. Science China Mathematics. 56(11). 2353–2366. 1 indexed citations
15.
Finlay, Richard, E. Seneta, & Dingcheng Wang. (2012). An Inverse Gamma Activity Time Process with Noninteger Parameters and a Self-Similar Limit. Journal of Applied Probability. 49(2). 441–450. 5 indexed citations
16.
Wang, Dingcheng, et al.. (2012). A note on the strong limit theorem for weighted sums of sequences of negatively dependent random variables. Journal of Inequalities and Applications. 2012(1). 5 indexed citations
17.
Zhang, Fangxin, Xue–Fan Bai, Lei Pan, et al.. (2011). Pathogens change in spontaneous bacterial peritonitis patients with cirrhosis. 1 indexed citations
18.
Wang, Dingcheng. (2005). Moment Complete Convergence for Sums of i.i.d. Random Elements in Banach Space. Dianzi Ke-ji Daxue xuebao.
19.
Su, Chun, et al.. (2002). The asymptotic distributions of sums of record values for distributions with lognormal-type tails. Science China Mathematics. 45(12). 1557–1566. 2 indexed citations
20.
Liu, Shih‐Tung, et al.. (1991). Rapid detection of hog cholera virus in tissues by the polymerase chain reaction. Journal of Virological Methods. 35(2). 227–236. 38 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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