Molei Tao

898 total citations
29 papers, 482 citations indexed

About

Molei Tao is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Molei Tao has authored 29 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 7 papers in Numerical Analysis and 7 papers in Computational Theory and Mathematics. Recurrent topics in Molei Tao's work include Numerical methods for differential equations (7 papers), Model Reduction and Neural Networks (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Molei Tao is often cited by papers focused on Numerical methods for differential equations (7 papers), Model Reduction and Neural Networks (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Molei Tao collaborates with scholars based in United States, China and Japan. Molei Tao's co-authors include Karin A. Dahmen, Jonathan T. Uhl, Andrew T. Jennings, Ju‐Young Kim, Julia R. Greer, Nir Friedman, Georgios Tsekenis, Gongjie Li, Yun Jing and Matthew J. Holman and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Journal of Computational Physics.

In The Last Decade

Molei Tao

26 papers receiving 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Molei Tao	105	83	77	77	74	29	482
Waranont Anukool	54 0.5×	64 0.8×	22 0.3×	231 3.0×	68 0.9×	72	757
Nicolay M. Tanushev	159 1.5×	70 0.8×	27 0.4×	49 0.6×	103 1.4×	22	594
K. Kowalski	115 1.1×	53 0.6×	29 0.4×	211 2.7×	53 0.7×	68	858
Francesco Maggi	100 1.0×	45 0.5×	56 0.7×	25 0.3×	91 1.2×	52	1.5k
Lung-an Ying	28 0.3×	39 0.5×	106 1.4×	43 0.6×	127 1.7×	24	485
Guojun Liao	58 0.6×	50 0.6×	53 0.7×	60 0.8×	247 3.3×	59	627
А. Д. Мышкис	69 0.7×	58 0.7×	235 3.1×	93 1.2×	209 2.8×	52	1.0k
Yao Zhou	90 0.9×	42 0.5×	66 0.9×	22 0.3×	46 0.6×	34	531
Piero Ravetto	514 4.9×	58 0.7×	48 0.6×	61 0.8×	146 2.0×	190	1.2k
Are Magnus Bruaset	48 0.5×	33 0.4×	22 0.3×	23 0.3×	160 2.2×	26	452

Countries citing papers authored by Molei Tao

Since Specialization

Citations

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

Fields of papers citing papers by Molei Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Molei Tao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Xinxi, Wen Song, Ligong Han, et al.. (2025). SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models. PubMed. 2025. 4665–4682.

Koon, Wang Sang, et al.. (2024). Can specific THz fields induce collective base-flipping in DNA? A stochastic averaging and resonant enhancement investigation based on a new mesoscopic model. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(8).

Tao, Molei, et al.. (2023). Generation of Electromechanical Frequency Combs in Fluid Media with a Parametrically Driven Capacitive Microresonator. Physical Review Applied. 19(4). 1 indexed citations

Tao, Molei, et al.. (2022). Parametric Resonance for Enhancing the Rate of Metastable Transition. SIAM Journal on Applied Mathematics. 82(3). 1068–1090. 2 indexed citations

Li, Gongjie, et al.. (2022). Low spin-axis variations of circumbinary planets. Monthly Notices of the Royal Astronomical Society. 515(4). 5175–5184. 1 indexed citations

Li, Ruilin, Xin Wang, Hongyuan Zha, & Molei Tao. (2021). Improving sampling accuracy of stochastic gradient MCMC methods via non-uniform subsampling of gradients. Discrete and Continuous Dynamical Systems - S. 16(2). 329–360. 1 indexed citations

Kong, Lingkai & Molei Tao. (2020). Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. Neural Information Processing Systems. 33. 2625–2638.

Lin, Tony X., et al.. (2020). A Derivative-Free Optimization Method With Application to Functions With Exploding and Vanishing Gradients. IEEE Control Systems Letters. 5(2). 587–592. 18 indexed citations

Tao, Molei, et al.. (2019). Dynamic mode decomposition for multiscale nonlinear physics. Physical review. E. 99(6). 63311–63311. 26 indexed citations

10.

Tao, Molei, et al.. (2019). Parametric Resonant Control of Macroscopic Behaviors of Multiple Oscillators. 1898–1905. 1 indexed citations

11.

Rodríguez, W., et al.. (2019). AhKin: A modular and efficient code for the Doppler shift attenuation method. Computer Physics Communications. 246. 106854–106854. 1 indexed citations

12.

Tao, Molei. (2018). Simply improved averaging for coupled oscillators and weakly nonlinear waves. Communications in Nonlinear Science and Numerical Simulation. 71. 1–21. 8 indexed citations

13.

Tao, Molei, et al.. (2018). Analysis and Design of Capacitive Parametric Ultrasonic Transducers for Efficient Ultrasonic Power Transfer Based on a 1-D Lumped Model. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(11). 2103–2112. 17 indexed citations

14.

Tao, Molei. (2016). Explicit symplectic approximation of nonseparable Hamiltonians: Algorithm and long time performance. Physical review. E. 94(4). 43303–43303. 48 indexed citations

15.

Tao, Molei. (2016). Explicit high-order symplectic integrators for charged particles in general electromagnetic fields. Journal of Computational Physics. 327. 245–251. 37 indexed citations

16.

Tao, Molei & Houman Owhadi. (2015). Variational and linearly implicit integrators, with applications. IMA Journal of Numerical Analysis. dru064–dru064. 2 indexed citations

17.

Jing, Yun, Molei Tao, & Jonathan M. Cannata. (2014). An improved wave-vector frequency-domain method for nonlinear wave modeling. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 61(3). 515–524. 10 indexed citations

18.

Friedman, Nir, Andrew T. Jennings, Georgios Tsekenis, et al.. (2012). Statistics of Dislocation Slip Avalanches in Nanosized Single Crystals Show Tuned Critical Behavior Predicted by a Simple Mean Field Model. Physical Review Letters. 109(9). 95507–95507. 162 indexed citations

19.

Marsden, Jerrold E., Houman Owhadi, & Molei Tao. (2011). Space-time FLAVORS: finite difference, multisymlectic, and pseudospectral integrators for multiscale PDEs. Dynamics of Partial Differential Equations. 8(1). 21–45. 3 indexed citations

20.

Jing, Yun, Molei Tao, & Gregory T. Clement. (2011). Evaluation of a wave-vector-frequency-domain method for nonlinear wave propagation. The Journal of the Acoustical Society of America. 129(1). 32–46. 32 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.

Explore authors with similar magnitude of impact