George Yin

10.7k total citations
430 papers, 7.0k citations indexed

About

George Yin is a scholar working on Finance, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, George Yin has authored 430 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Finance, 115 papers in Control and Systems Engineering and 70 papers in Management Science and Operations Research. Recurrent topics in George Yin's work include Stochastic processes and financial applications (156 papers), Stochastic processes and statistical mechanics (51 papers) and Mathematical Biology Tumor Growth (44 papers). George Yin is often cited by papers focused on Stochastic processes and financial applications (156 papers), Stochastic processes and statistical mechanics (51 papers) and Mathematical Biology Tumor Growth (44 papers). George Yin collaborates with scholars based in United States, China and Canada. George Yin's co-authors include Chao Zhu, Le Yi Wang, R. Z. Khas’minskiĭ, Qing Zhang, Dang H. Nguyen, Fuke Wu, Vikram Krishnamurthy, Shu Liang, X.Y. Zhou and Chenggui Yuan and has published in prestigious journals such as The Journal of Chemical Physics, Journal of the American Statistical Association and IEEE Transactions on Automatic Control.

In The Last Decade

George Yin

392 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Yin United States 42 2.1k 1.8k 1.5k 1.2k 1.2k 430 7.0k
Sean Meyn United States 45 1.6k 0.7× 2.0k 1.1× 2.0k 1.3× 223 0.2× 259 0.2× 250 11.4k
G. George Yin United States 27 689 0.3× 1.8k 1.0× 1.3k 0.9× 249 0.2× 242 0.2× 111 5.4k
S. N. Ethier United States 18 1.7k 0.8× 275 0.1× 481 0.3× 529 0.4× 317 0.3× 70 6.1k
Quanxin Zhu China 53 421 0.2× 5.2k 2.8× 7.3k 4.8× 1.0k 0.8× 1.0k 0.8× 470 11.6k
Peter E. Caines Canada 34 1.9k 0.9× 2.6k 1.4× 716 0.5× 329 0.3× 499 0.4× 294 6.5k
Chuangxia Huang China 41 280 0.1× 488 0.3× 2.4k 1.6× 759 0.6× 512 0.4× 180 4.8k
Minyi Huang Canada 32 1.9k 0.9× 866 0.5× 1.9k 1.3× 516 0.4× 560 0.5× 124 5.0k
Raymond Rishel United States 12 998 0.5× 846 0.5× 139 0.1× 771 0.6× 700 0.6× 46 4.3k
Andris Abakuks United Kingdom 11 854 0.4× 200 0.1× 377 0.2× 574 0.5× 400 0.3× 23 3.4k
Harold J. Kushner United States 43 2.7k 1.3× 2.5k 1.3× 2.3k 1.5× 135 0.1× 352 0.3× 216 11.6k

Countries citing papers authored by George Yin

Since Specialization
Citations

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

Fields of papers citing papers by George Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Yin

This figure shows the co-authorship network connecting the top 25 collaborators of George Yin. A scholar is included among the top collaborators of George Yin 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 George Yin. George Yin 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.
Cao, Yanzhao, et al.. (2025). Large deviation estimates for nonlinear filtering with discontinuity and small noise. Stochastic Processes and their Applications. 187. 104662–104662.
2.
Wu, Fuke & George Yin. (2025). Two-time-scale stochastic functional differential equations: Inclusion of infinite delay and coupled segment processes. Journal of Differential Equations. 435. 113238–113238. 1 indexed citations
3.
Liu, Yuhui, et al.. (2025). Multi-Domain Digital Twin and Real-Time Performance Optimization for Marine Steam Turbines. Symmetry. 17(5). 689–689. 2 indexed citations
4.
Zhang, Yu, Zhuo Jin, Jiaqin Wei, & George Yin. (2025). A hybrid deep learning method for finite-horizon mean-field game problems. Automatica. 179. 112384–112384. 1 indexed citations
5.
Nguyen, Dang H., et al.. (2023). Stability of coupled jump diffusions and applications. Journal of Differential Equations. 379. 175–206.
6.
Wang, Le Yi, George Yin, Feng Lin, Michael P. Polis, & Wen Chen. (2023). Mean-square convergent continuous state estimation of randomly switched linear systems with unobservable subsystems and stochastic output noises. Automatica. 156. 111181–111181. 4 indexed citations
7.
Wang, Ya, Fuke Wu, & George Yin. (2023). Limit theorems of additive functionals for regime-switching diffusions with infinite delay. Stochastic Processes and their Applications. 167. 104215–104215.
8.
Wang, Ya, Fuke Wu, George Yin, & Chao Zhu. (2022). Stochastic functional differential equations with infinite delay under non-Lipschitz coefficients: Existence and uniqueness, Markov property, ergodicity, and asymptotic log-Harnack inequality. Stochastic Processes and their Applications. 149. 1–38. 6 indexed citations
9.
Song, Qingshuo, et al.. (2021). Solving a Class of Mean-Field LQG Problems. IEEE Transactions on Automatic Control. 67(3). 1597–1602. 3 indexed citations
10.
Wu, Fuke & George Yin. (2020). An averaging principle for two-time-scale stochastic functional differential equations. Journal of Differential Equations. 269(1). 1037–1077. 18 indexed citations
11.
Nguyen, Son Luu, et al.. (2019). A stochastic maximum principle for switching diffusions using conditional mean-fields with applications to control problems. ESAIM Control Optimisation and Calculus of Variations. 26. 69–69. 16 indexed citations
12.
Nguyen, Dang H. & George Yin. (2017). Asymptotic Analysis for a Stochastic Chemostat Model in Wastewater Treatment. arXiv (Cornell University). 3 indexed citations
13.
Tran, Ky, George Yin, Le Yi Wang, & Hanqin Zhang. (2016). SINGULARLY PERTURBED MULTI-SCALE SWITCHING DIFFUSIONS. Dynamic Systems and Applications. 25. 153–173.
14.
Krishnamurthy, Vikram, et al.. (2009). Average-consensus with switched Markovian network links. International Conference on Information Fusion. 388–395. 1 indexed citations
15.
Song, Qingshuo, et al.. (2007). An ε-uniform finite element method for singularly perturbed two-point boundary value problems. 4(1). 127–140. 2 indexed citations
16.
Agrawal, Prathima, et al.. (2006). Wireless Communications (The IMA Volumes in Mathematics and its Applications). Springer eBooks. 2 indexed citations
17.
18.
Fleming, Wendell H., William M. McEneaney, George Yin, & Qing Zhang. (1999). Stochastic analysis, control, optimization and applications : a volume in honor of W. H. Fleming. Birkhäuser eBooks. 150 indexed citations
19.
Yin, George, et al.. (1994). Asymptotically optimal rate of convergence of smoothed stochastic recursive algorithms. Stochastics and stochastics reports. 47(1-2). 21–46. 21 indexed citations
20.
Zhou, Yuan, et al.. (1989). Further comments on ‘Controllability of descriptor systems’. International Journal of Control. 50(6). 2645–2646. 3 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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