Shan Zeng

1.9k total citations
26 papers, 762 citations indexed

About

Shan Zeng is a scholar working on Global and Planetary Change, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Shan Zeng has authored 26 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 6 papers in Computational Mechanics. Recurrent topics in Shan Zeng's work include Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (14 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Shan Zeng is often cited by papers focused on Atmospheric aerosols and clouds (16 papers), Atmospheric chemistry and aerosols (14 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Shan Zeng collaborates with scholars based in United States, France and China. Shan Zeng's co-authors include David M. Winker, Charles R. Trepte, Claudia J. Stubenrauch, Patrick Minnis, Hélène Chepfer, Sandrine Bony, G Cesana, Jean‐Louis Dufresne, Yongxiang Hu and Shupeng Chen and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Shan Zeng

20 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Zeng United States 12 692 560 101 74 41 26 762
Snorre Stamnes United States 12 380 0.5× 370 0.7× 71 0.7× 43 0.6× 32 0.8× 47 489
Jérôme Vidot France 14 688 1.0× 752 1.3× 66 0.7× 115 1.6× 46 1.1× 41 877
A. Pier Siebesma Germany 3 654 0.9× 610 1.1× 74 0.7× 55 0.7× 20 0.5× 3 732
Marcin Witek United States 15 582 0.8× 587 1.0× 40 0.4× 80 1.1× 13 0.3× 29 690
Itaru Sano Japan 11 638 0.9× 629 1.1× 55 0.5× 35 0.5× 34 0.8× 95 744
S. Baldy France 18 519 0.8× 582 1.0× 99 1.0× 20 0.3× 24 0.6× 32 727
Adam C. Povey United Kingdom 12 402 0.6× 370 0.7× 46 0.5× 60 0.8× 41 1.0× 25 527
Vanderlei Martins United States 8 575 0.8× 565 1.0× 38 0.4× 36 0.5× 20 0.5× 11 658
Douglas A. Spangenberg United States 16 1.2k 1.7× 1.1k 1.9× 25 0.2× 49 0.7× 29 0.7× 36 1.2k
Tyler J. Thorsen United States 17 1.0k 1.4× 893 1.6× 107 1.1× 43 0.6× 27 0.7× 32 1.1k

Countries citing papers authored by Shan Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Shan Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Zeng. A scholar is included among the top collaborators of Shan Zeng 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 Shan Zeng. Shan Zeng 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.
Wang, Fei, et al.. (2025). Dynamic Similarity Optimization Design of an Aero-Engine. Open Journal of Applied Sciences. 15(4). 773–783.
2.
Zeng, Shan, et al.. (2025). Seasonal variations in PM2.5 levels in Hong Kong induced by eastern and western tropical cyclones. Atmospheric Environment. 361. 121497–121497.
3.
Coopman, Quentin, J. Riédi, Shan Zeng, & Timothy J. Garrett. (2020). Space‐Based Analysis of the Cloud Thermodynamic Phase Transition for Varying Microphysical and Meteorological Regimes. Geophysical Research Letters. 47(6). 15 indexed citations
4.
Zeng, Shan, Ali Omar, Mark Vaughan, et al.. (2020). Identifying Aerosol Subtypes from CALIPSO Lidar Profiles Using Deep Machine Learning. Atmosphere. 12(1). 10–10. 11 indexed citations
5.
Liu, Zhaoyan, Jayanta Kar, Shan Zeng, et al.. (2019). Discriminating between clouds and aerosols in the CALIOP version 4.1 data products. Atmospheric measurement techniques. 12(1). 703–734. 96 indexed citations
6.
Zeng, Shan, Mark Vaughan, Zhaoyan Liu, et al.. (2019). Application of high-dimensional fuzzy k -means cluster analysis to CALIOP/CALIPSO version 4.1 cloud–aerosol discrimination. Atmospheric measurement techniques. 12(4). 2261–2285. 17 indexed citations
7.
Kar, Jayanta, Shan Zeng, Jason L. Tackett, et al.. (2017). Probability Density Functions for the CALIPSO Lidar Version 4 Cloud-Aerosol Discrimination (CAD) Algorithm. AGUFM. 2017.
8.
Lu, Xiaomei, Yongxiang Hu, Jacques Pelon, et al.. (2016). Retrieval of ocean subsurface particulate backscattering coefficient from space-borne CALIOP lidar measurements. Optics Express. 24(25). 29001–29001. 49 indexed citations
9.
Zeng, Shan, J. Riédi, Charles R. Trepte, David M. Winker, & Yongxiang Hu. (2014). Study of global cloud droplet number concentration with A-Train satellites. Atmospheric chemistry and physics. 14(14). 7125–7134. 37 indexed citations
10.
Lu, Xiaomei, Yongxiang Hu, Charles R. Trepte, Shan Zeng, & James H. Churnside. (2014). Ocean subsurface studies with the CALIPSO spaceborne lidar. Journal of Geophysical Research Oceans. 119(7). 4305–4317. 78 indexed citations
11.
Zeng, Shan, J. Riédi, C. R. Trepte, D. M. Winker, & Yongxiang Hu. (2013). Study of cloud droplet number concentration using the A-Train satellites.
12.
Zeng, Shan, J. Riédi, F. Parol, Charles Cornet, & F. Thieuleux. (2013). An assessment of cloud top thermodynamic phase products obtained from A-Train passive and active sensors. 7 indexed citations
13.
Parol, F., J. Riédi, C. Vanbauce, et al.. (2013). Climatology of POLDER/PARASOL cloud properties. AIP conference proceedings. 352–355. 1 indexed citations
14.
Zeng, Shan, Charles Cornet, F. Parol, J. Riédi, & F. Thieuleux. (2012). A better understanding of cloud optical thickness derived from the passive sensors MODIS/AQUA and POLDER/PARASOL in the A-Train constellation. Atmospheric chemistry and physics. 12(23). 11245–11259. 30 indexed citations
15.
16.
Zeng, Shan & Yajun Li. (2009). Ideas on the teaching of product design basic courses. 543–546.
17.
Chen, Shupeng, et al.. (2000). Remote sensing and GIS for urban growth analysis in China. Photogrammetric Engineering & Remote Sensing. 66(5). 593–598. 74 indexed citations
18.
Vuik, C., et al.. (1996). Krylov Subspace and Multigrid Methods Applied to the Incompressible Navier-Stokes Equations. NASA Technical Reports Server (NASA). 2 indexed citations
19.
Zeng, Shan, C. Vuik, & Pieter Wesseling. (1993). Solution of the incompressible Navier-Stokes equations in general coordinates by Krylov subspace and multigrid methods. Research Repository (Delft University of Technology). 94. 31660. 3 indexed citations
20.
Zeng, Shan & Pieter Wesseling. (1992). Galerkin coarse grid approximation for the incompressible Navier-Stokes equations in general coordinates. Research Repository (Delft University of Technology). 93. 17847. 5 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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