Cheng Ouyang

474 total citations
21 papers, 213 citations indexed

About

Cheng Ouyang is a scholar working on Finance, Mathematical Physics and Applied Mathematics. According to data from OpenAlex, Cheng Ouyang has authored 21 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Finance, 15 papers in Mathematical Physics and 8 papers in Applied Mathematics. Recurrent topics in Cheng Ouyang's work include Stochastic processes and financial applications (18 papers), Stochastic processes and statistical mechanics (10 papers) and Nonlinear Differential Equations Analysis (4 papers). Cheng Ouyang is often cited by papers focused on Stochastic processes and financial applications (18 papers), Stochastic processes and statistical mechanics (10 papers) and Nonlinear Differential Equations Analysis (4 papers). Cheng Ouyang collaborates with scholars based in United States, France and Australia. Cheng Ouyang's co-authors include Elton P. Hsu, Fabrice Baudoin, Jim Gatheral, Peter Laurence, Tai‐Ho Wang, Samy Tindel, Eulàlia Nualart, Xuejing Zhang, Xia Chen and José E. Figueroa‐López and has published in prestigious journals such as Transactions of the American Mathematical Society, Journal of Functional Analysis and The Annals of Probability.

In The Last Decade

Cheng Ouyang

20 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheng Ouyang United States 7 182 75 42 28 27 21 213
Mihai Gradinaru France 7 178 1.0× 69 0.9× 31 0.7× 34 1.2× 16 0.6× 17 203
Maria Jolis Spain 12 232 1.3× 96 1.3× 35 0.8× 56 2.0× 31 1.1× 27 268
Eulàlia Nualart Spain 12 259 1.4× 153 2.0× 42 1.0× 59 2.1× 67 2.5× 31 318
Stefano Pagliarani Italy 11 267 1.5× 57 0.8× 14 0.3× 28 1.0× 15 0.6× 41 284
Kęstutis Kubilius Lithuania 8 209 1.1× 57 0.8× 24 0.6× 78 2.8× 12 0.4× 36 239
Georgiy Shevchenko Ukraine 9 235 1.3× 81 1.1× 46 1.1× 81 2.9× 26 1.0× 45 278
Baojun Bian China 10 136 0.7× 35 0.5× 99 2.4× 59 2.1× 39 1.4× 34 261
Alexandre Popier France 8 189 1.0× 27 0.4× 35 0.8× 72 2.6× 15 0.6× 21 219
Edgard A. Pimentel Brazil 6 121 0.7× 60 0.8× 75 1.8× 34 1.2× 29 1.1× 21 189
Adrien Richou France 10 252 1.4× 44 0.6× 39 0.9× 41 1.5× 21 0.8× 18 269

Countries citing papers authored by Cheng Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ouyang. A scholar is included among the top collaborators of Cheng Ouyang 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 Cheng Ouyang. Cheng Ouyang 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.
Baudoin, Fabrice, et al.. (2025). Parabolic Anderson model in bounded domains of recurrent metric measure spaces. Transactions of the American Mathematical Society. 379(3). 1799–1851.
2.
Kainz, Bernhard, et al.. (2024). Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. 81606–81644. 1 indexed citations
3.
Baudoin, Fabrice, et al.. (2023). Parabolic Anderson model on Heisenberg groups: The Itô setting. Journal of Functional Analysis. 285(1). 109920–109920. 3 indexed citations
4.
Ouyang, Cheng, et al.. (2022). Precise Local Estimates for Differential Equations driven by Fractional Brownian Motion: Elliptic Case. Journal of Theoretical Probability. 36(3). 1341–1367. 1 indexed citations
5.
Ouyang, Cheng, et al.. (2022). Quasi-sure non-self-intersection for rough differential equations driven by fractional Brownian motion. Electronic Communications in Probability. 27(none). 1 indexed citations
6.
Chen, Xia, et al.. (2021). A K-rough path above the space-time fractional Brownian motion. Stochastic Partial Differential Equations Analysis and Computations. 9(4). 819–866. 2 indexed citations
7.
Chen, Xia, et al.. (2021). Moment estimates for some renormalized parabolic Anderson models. The Annals of Probability. 49(5). 9 indexed citations
8.
Baudoin, Fabrice, et al.. (2020). Density of the signature process of fBm. Transactions of the American Mathematical Society. 373(12). 8583–8610. 2 indexed citations
9.
Ouyang, Cheng, et al.. (2017). Local times of stochastic differential equations driven by fractional Brownian motions. Stochastic Processes and their Applications. 127(11). 3643–3660. 5 indexed citations
10.
Martin, Ryan, et al.. (2017). ‘Purposely misspecified’ posterior inference on the volatility of a jump diffusion process. Statistics & Probability Letters. 134. 106–113. 1 indexed citations
11.
Ouyang, Cheng, et al.. (2017). Mutual intersection for rough differential systems driven by fractional Brownian motions. Statistics & Probability Letters. 135. 83–91. 2 indexed citations
12.
Ouyang, Cheng, et al.. (2016). Fractal dimensions of rough differential equations driven by fractional Brownian motions. Stochastic Processes and their Applications. 126(8). 2410–2429. 4 indexed citations
13.
Baudoin, Fabrice, Cheng Ouyang, & Xuejing Zhang. (2016). Smoothing effect of rough differential equations driven by fractional Brownian motions. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 52(1). 4 indexed citations
14.
Baudoin, Fabrice, Eulàlia Nualart, Cheng Ouyang, & Samy Tindel. (2016). On probability laws of solutions to differential systems driven by a fractional Brownian motion. The Annals of Probability. 44(4). 24 indexed citations
15.
Baudoin, Fabrice, Cheng Ouyang, & Xuejing Zhang. (2014). Varadhan estimates for rough differential equations driven by fractional Brownian motions. Stochastic Processes and their Applications. 125(2). 634–652. 6 indexed citations
16.
Figueroa‐López, José E., et al.. (2014). Small-time expansions for local jump-diffusion models with infinite jump activity. Bernoulli. 20(3). 3 indexed citations
17.
Baudoin, Fabrice, Cheng Ouyang, & Samy Tindel. (2014). Upper bounds for the density of solutions to stochastic differential equations driven by fractional Brownian motions. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 50(1). 17 indexed citations
18.
Baudoin, Fabrice & Cheng Ouyang. (2010). Small-time kernel expansion for solutions of stochastic differential equations driven by fractional Brownian motions. Stochastic Processes and their Applications. 121(4). 759–792. 15 indexed citations
19.
Gatheral, Jim, Elton P. Hsu, Peter Laurence, Cheng Ouyang, & Tai‐Ho Wang. (2010). ASYMPTOTICS OF IMPLIED VOLATILITY IN LOCAL VOLATILITY MODELS. Mathematical Finance. 22(4). 591–620. 100 indexed citations
20.
Hsu, Elton P. & Cheng Ouyang. (2009). Quasi-invariance of the Wiener measure on the path space over a complete Riemannian manifold. Journal of Functional Analysis. 257(5). 1379–1395. 11 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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