Di Qi

842 total citations
35 papers, 476 citations indexed

About

Di Qi is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Di Qi has authored 35 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 18 papers in Computational Mechanics and 10 papers in Global and Planetary Change. Recurrent topics in Di Qi's work include Fluid Dynamics and Turbulent Flows (18 papers), Meteorological Phenomena and Simulations (17 papers) and Climate variability and models (9 papers). Di Qi is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Meteorological Phenomena and Simulations (17 papers) and Climate variability and models (9 papers). Di Qi collaborates with scholars based in United States, Australia and China. Di Qi's co-authors include Andrew J. Majda, Nicholas J. Moore, Themistoklis P. Sapsis, John Harlim, Antoine Cerfon, Nan Chen, Yoonsang Lee, Fu Xiao, Yanzhong Li and Liang Pu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Journal of the Atmospheric Sciences.

In The Last Decade

Di Qi

32 papers receiving 465 citations

Peers

Countries citing papers authored by Di Qi

Since Specialization

Citations

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

Fields of papers citing papers by Di Qi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Qi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Mean Field Games for Controlling Coherent Structures in Nonlinear Fluid Systems 2025 ·SIAM/ASA Journal on Uncertainty Quantification ·Yuan Gao, Di Qi	0
2	Effective statistical control strategies for complex turbulent dynamical systems 2023 ·Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences ·(unknown), Di Qi, Nan Chen	3
3	A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics 2023 ·Journal of Computational Physics ·Di Qi, John Harlim	5
4	A physics-informed data-driven algorithm for ensemble forecast of complex turbulent systems 2023 ·Applied Mathematics and Computation ·Nan Chen, Di Qi	7
5	Nearly integrable flows and chaotic tangles in the Dimits shift regime of plasma edge turbulence 2023 ·Physics of Plasmas ·N.M. Cao, Di Qi	2
6	High-order moment closure models with random batch method for efficient computation of multiscale turbulent systems 2023 ·Chaos An Interdisciplinary Journal of Nonlinear Science ·Di Qi, Jian‐Guo Liu	1
7	Anomalous Waves Triggered by Abrupt Depth Changes: Laboratory Experiments and Truncated KdV Statistical Mechanics 2020 ·Journal of Nonlinear Science ·Nicholas J. Moore, (unknown), Andrew J. Majda, Di Qi	23
8	Using machine learning to predict extreme events in complex systems 2019 ·Proceedings of the National Academy of Sciences ·Di Qi, Andrew J. Majda	82
9	Linear and nonlinear statistical response theories with prototype applications to sensitivity analysis and statistical control of complex turbulent dynamical systems 2019 ·Chaos An Interdisciplinary Journal of Nonlinear Science ·Andrew J. Majda, Di Qi	16
10	Zonal Jet Creation from Secondary Instability of Drift Waves for Plasma Edge Turbulence 2019 ·Chinese Annals of Mathematics Series B ·Di Qi, Andrew J. Majda	2
11	Statistical dynamical model to predict extreme events and anomalous features in shallow water waves with abrupt depth change 2019 ·Proceedings of the National Academy of Sciences ·Andrew J. Majda, Nicholas J. Moore, Di Qi	54
12	Linking the two-field dynamics of plasma edge turbulence with the one-field balanced model through systematic unstable forcing at low resistivity 2019 ·Physics of Plasmas ·Di Qi, Andrew J. Majda	2
13	A flux-balanced fluid model for collisional plasma edge turbulence: Model derivation and basic physical features 2018 ·Physics of Plasmas ·Andrew J. Majda, Di Qi, Antoine Cerfon	16
14	Rigorous Statistical Bounds in Uncertainty Quantification for One-Layer Turbulent Geophysical Flows 2018 ·Journal of Nonlinear Science ·Di Qi, Andrew J. Majda	6
15	Predicting extreme events for passive scalar turbulence in two-layer baroclinic flows through reduced-order stochastic models 2018 ·Communications in Mathematical Sciences ·Di Qi, Andrew J. Majda	17
16	Stochastic Superparameterization and Multiscale Filtering of Turbulent Tracers 2017 ·Multiscale Modeling and Simulation ·Yoonsang Lee, Andrew J. Majda, Di Qi	2
17	Preventing Catastrophic Filter Divergence Using Adaptive Additive Inflation for Baroclinic Turbulence 2016 ·Monthly Weather Review ·Yoonsang Lee, Andrew J. Majda, Di Qi	8
18	Low-dimensional reduced-order models for statistical response and uncertainty quantification: Barotropic turbulence with topography 2016 ·Physica D Nonlinear Phenomena ·Di Qi, Andrew J. Majda	14
19	Predicting fat-tailed intermittent probability distributions in passive scalar turbulence with imperfect models through empirical information theory 2016 ·Communications in Mathematical Sciences ·Di Qi, Andrew J. Majda	33
20	Blended particle filters for large-dimensional chaotic dynamical systems 2014 ·Proceedings of the National Academy of Sciences ·Andrew J. Majda, Di Qi, Themistoklis P. Sapsis	36

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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