Nan Chen

3.3k total citations
138 papers, 2.2k citations indexed

About

Nan Chen is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Nan Chen has authored 138 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Atmospheric Science, 60 papers in Global and Planetary Change and 22 papers in Oceanography. Recurrent topics in Nan Chen's work include Meteorological Phenomena and Simulations (43 papers), Climate variability and models (42 papers) and Atmospheric chemistry and aerosols (19 papers). Nan Chen is often cited by papers focused on Meteorological Phenomena and Simulations (43 papers), Climate variability and models (42 papers) and Atmospheric chemistry and aerosols (19 papers). Nan Chen collaborates with scholars based in United States, China and United Arab Emirates. Nan Chen's co-authors include Andrew J. Majda, Steven Kou, Xianghui Fang, Pavel M. Lushnikov, Mark Alber, Xin T. Tong, Paul Glasserman, Sulian Thual, Pu Li and Guodong Yin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Science of The Total Environment.

In The Last Decade

Nan Chen

126 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Chen United States 28 1.0k 735 308 271 262 138 2.2k
Ye Liu China 30 358 0.3× 694 0.9× 57 0.2× 52 0.2× 184 0.7× 212 2.8k
Emil M. Constantinescu United States 22 513 0.5× 352 0.5× 79 0.3× 41 0.2× 67 0.3× 78 1.9k
D. P. Lalas Greece 30 748 0.7× 530 0.7× 207 0.7× 148 0.5× 15 0.1× 71 2.5k
Petra Friederichs Germany 21 1.2k 1.1× 1.4k 2.0× 33 0.1× 272 1.0× 63 0.2× 58 2.1k
Fadoua Balabdaoui France 10 1.0k 1.0× 1.3k 1.8× 25 0.1× 62 0.2× 35 0.1× 21 2.7k
John A. Dutton United States 18 919 0.9× 818 1.1× 56 0.2× 204 0.8× 122 0.5× 62 1.9k
James Pickands United States 15 366 0.4× 1.1k 1.5× 37 0.1× 150 0.6× 83 0.3× 21 3.9k
Yongxiang Huang China 20 252 0.2× 371 0.5× 63 0.2× 192 0.7× 73 0.3× 75 1.2k
Matthias Katzfuß United States 15 264 0.3× 405 0.6× 47 0.2× 33 0.1× 44 0.2× 41 1.5k
Yubao Liu China 32 2.4k 2.3× 1.8k 2.5× 257 0.8× 439 1.6× 18 0.1× 146 3.6k

Countries citing papers authored by Nan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Chen. A scholar is included among the top collaborators of Nan Chen 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 Nan Chen. Nan Chen 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.
Chen, Nan, et al.. (2025). CGKN: A deep learning framework for modeling complex dynamical systems and efficient data assimilation. Journal of Computational Physics. 532. 113950–113950. 4 indexed citations
2.
3.
Li, Wei, Nan Chen, Yu‐Ping Huang, et al.. (2025). Two-Stream Approximation in Radiative Transfer: Average Optical Pathlength Estimation. Journal of the Atmospheric Sciences. 82(5). 943–953.
4.
Chen, Nan, et al.. (2024). A Physics-Informed Auto-Learning Framework for Developing Stochastic Conceptual Models for ENSO Diversity. Journal of Climate. 37(23). 6323–6347. 1 indexed citations
5.
Qi, Di, et al.. (2023). Effective statistical control strategies for complex turbulent dynamical systems. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2279). 3 indexed citations
6.
Kong, Shaofei, Huang Zheng, Jian Wu, et al.. (2023). Winter-autumn air pollution control plan in North China modified the PM2.5 compositions and sources in Central China. Atmospheric Environment. 306. 119827–119827. 3 indexed citations
7.
Wang, Runyu, Lili Wang, Min Xue, et al.. (2023). New insight into formation mechanism, source and control strategy of severe O3 pollution: The case from photochemical simulation in the Wuhan Metropolitan Area, Central China. Atmospheric Research. 284. 106605–106605. 12 indexed citations
8.
Chen, Nan, et al.. (2023). An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems. Journal of Computational Physics. 493. 112450–112450. 4 indexed citations
9.
10.
Chen, Nan & Shubin Fu. (2023). Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models. Physica D Nonlinear Phenomena. 452. 133784–133784. 6 indexed citations
11.
Stechmann, Samuel N., et al.. (2019). Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting. Geophysical Research Letters. 46(3). 1851–1860. 10 indexed citations
12.
Yang, Fan, Edmond W. Zaia, Nan Chen, et al.. (2019). Rapid Stoichiometry Control in Cu2Se Thin Films for Room-Temperature Power Factor Improvement. ACS Applied Energy Materials. 2(2). 1517–1525. 36 indexed citations
13.
Chen, Nan, Andrew J. Majda, & Xin T. Tong. (2018). Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions. SIAM/ASA Journal on Uncertainty Quantification. 6(3). 1198–1223. 12 indexed citations
14.
Zheng, Mingming, Shaofei Kong, Jianguo Bao, et al.. (2018). Aerosol acidity in a megacity with high ambient temperature and relative humidity of Central China: temporal variation, determining factors and pollution transition effect. Biogeosciences (European Geosciences Union). 8 indexed citations
15.
16.
Chen, Nan, et al.. (2017). Approximate arbitrage-free option pricing under the SABR model. Journal of Economic Dynamics and Control. 83. 198–214. 14 indexed citations
17.
Lu, Xingcheng, Nan Chen, Yuhang Wang, et al.. (2017). Radical budget and ozone chemistry during autumn in the atmosphere of an urban site in central China. Journal of Geophysical Research Atmospheres. 122(6). 3672–3685. 38 indexed citations
18.
Blanchet, José, Nan Chen, & Peter W. Glynn. (2015). Unbiased monte carlo computation of smooth functions of expectations via Taylor expansions. Winter Simulation Conference. 360–367. 3 indexed citations
19.
Chen, Nan, Andrew J. Majda, & Xin T. Tong. (2014). Information barriers for noisy Lagrangian tracers in filtering random incompressible flows. Nonlinearity. 27(9). 2133–2163. 39 indexed citations
20.
Alber, Mark, Nan Chen, Pavel M. Lushnikov, & Stuart A. Newman. (2007). Continuous Macroscopic Limit of a Discrete Stochastic Model for Interaction of Living Cells. Physical Review Letters. 99(16). 168102–168102. 46 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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