Nan Chen

3.4k citations
141 papers · 2.2k · h-index 29

Impact in

Papers in

Nan Chen

128 papers receiving 2.2k citations

Peers

Nan Chen
Comparison fields: 5 of 122
  • Atmospheric Science 1.1k
  • Global and Planetary Change 754
  • Health, Toxicology and Mutagenesis 321
  • Oceanography 274
  • Modeling and Simulation 98
Replace Manuel G. Scotto with:
Manuel G. Scotto Portugal
Fadoua Balabdaoui France
Matthias Katzfuß United States
Petra Friederichs Germany
Andrew Zammit‐Mangion Australia
James Pickands United States
Surajit Chattopadhyay India
Jonathan Stroud United States
Zoltán Tóth United States
D. P. Lalas Greece
Nan Chen relative to Manuel G. Scotto Portugal Manuel G. Scotto's profile →
Citations per field
00.5×4.9×
Manuel G. Scotto · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nan Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nan Chen Line = papers co-authored together Nan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 2009106
3 200774
4 201965
5 201964
6 200858
7 201857
8 201652
9 201651
10 201849
11 202247
12 200747
13 201744
14 200744
15 201340
16 201740
17 202340
18 201439
19 201937
20 201734

About Nan Chen

Nan Chen is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Statistical and Nonlinear Physics and Health, Toxicology and Mutagenesis, having authored 141 papers that have together received 2.2k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (43 papers), Climate variability and models (42 papers), Atmospheric chemistry and aerosols (20 papers), Air Quality and Health Impacts (18 papers), Oceanographic and Atmospheric Processes (16 papers), Tropical and Extratropical Cyclones Research (13 papers), Model Reduction and Neural Networks (13 papers) and Probabilistic and Robust Engineering Design (10 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Global and Planetary Change (754 citations), Health, Toxicology and Mutagenesis (321 citations), Oceanography (274 citations) and Modeling and Simulation (98 citations). Nan Chen has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Andrew J. Majda, Steven Kou, Xianghui Fang, Pavel M. Lushnikov, Mark Alber, Xin T. Tong, Paul Glasserman, Shaofei Kong, Sulian Thual and Pu Li. Their work appears in journals such as Journal of Climate, Physica D Nonlinear Phenomena, Journal of Computational Physics, Journal of Advances in Modeling Earth Systems and Chaos An Interdisciplinary Journal of Nonlinear Science.

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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