Ping Yang

26.2k total citations · 3 hit papers
406 papers, 18.1k citations indexed

About

Ping Yang is a scholar working on Global and Planetary Change, Atmospheric Science and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Ping Yang has authored 406 papers receiving a total of 18.1k indexed citations (citations by other indexed papers that have themselves been cited), including 344 papers in Global and Planetary Change, 327 papers in Atmospheric Science and 42 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Ping Yang's work include Atmospheric aerosols and clouds (332 papers), Atmospheric chemistry and aerosols (246 papers) and Atmospheric Ozone and Climate (190 papers). Ping Yang is often cited by papers focused on Atmospheric aerosols and clouds (332 papers), Atmospheric chemistry and aerosols (246 papers) and Atmospheric Ozone and Climate (190 papers). Ping Yang collaborates with scholars based in United States, France and China. Ping Yang's co-authors include K. N. Liou, Bryan A. Baum, George W. Kattawar, Yongxiang Hu, Michael I. Mishchenko, Lei Bi, Steven Platnick, Qiang Fu, Andrew J. Heymsfield and Wenbo Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.

In The Last Decade

Ping Yang

395 papers receiving 17.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust

2006 1.2k citations Ping Yang et al. profile →
The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua

2016 589 citations Michael D. King, Ping Yang et al. IEEE Transactions on Geoscience and Remote Sensing profile →
CERES Edition-2 Cloud Property Retrievals Using TRMM VIRS and Terra and Aqua MODIS Data—Part I: Algorithms

2011 412 citations Patrick Minnis, Patrick W. Heck et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ping Yang United States	65	15.2k	14.5k	1.5k	951	906	406	18.1k
W. J. Wiscombe United States	44	9.1k 0.6×	9.2k 0.6×	1.0k 0.7×	543 0.6×	483 0.5×	146	13.1k
Michael I. Mishchenko United States	76	15.9k 1.0×	14.3k 1.0×	1.5k 1.0×	1.2k 1.2×	2.8k 3.1×	352	23.8k
Larry D. Travis United States	44	7.5k 0.5×	7.0k 0.5×	1.0k 0.7×	602 0.6×	1.3k 1.4×	103	12.3k
Yongxiang Hu United States	57	11.8k 0.8×	10.4k 0.7×	650 0.4×	785 0.8×	222 0.2×	324	13.8k
Graeme L. Stephens United States	79	19.7k 1.3×	20.0k 1.4×	883 0.6×	1.2k 1.2×	143 0.2×	358	22.9k
Qiang Fu United States	58	14.8k 1.0×	13.7k 0.9×	477 0.3×	478 0.5×	194 0.2×	267	17.0k
Thomas Peter Switzerland	67	10.7k 0.7×	13.9k 1.0×	641 0.4×	201 0.2×	725 0.8×	375	16.5k
Knut Stamnes United States	47	6.7k 0.4×	7.2k 0.5×	613 0.4×	250 0.3×	251 0.3×	243	10.1k
Xiaohong Liu United States	61	9.8k 0.6×	10.5k 0.7×	270 0.2×	855 0.9×	1.0k 1.1×	345	13.8k
S. A. Clough United States	47	15.0k 1.0×	16.9k 1.2×	946 0.6×	266 0.3×	762 0.8×	111	19.4k

Countries citing papers authored by Ping Yang

Since Specialization

Citations

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

Fields of papers citing papers by Ping Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yang. A scholar is included among the top collaborators of Ping Yang 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 Ping Yang. Ping Yang 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, Yuheng, et al.. (2025). The Impact of Dust Mineralogical Compositions on CALIOP‐IIR‐Based Retrievals of the Optical and Microphysical Properties of Dust Plumes. Journal of Geophysical Research Atmospheres. 130(14).

Mast, J. C. & Ping Yang. (2024). Sensitivity, Uncertainty, Information Content, and Channel Selection for Hyperspectral Reflective Solar Retrievals of Cirrus Cloud Properties. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13.

Minnis, Patrick, Sunny Sun‐Mack, William L. Smith, et al.. (2023). VIIRS Edition 1 Cloud Properties for CERES, Part 1: Algorithm Adjustments and Results. Remote Sensing. 15(3). 578–578. 3 indexed citations

Ding, Jiachen, Ping Yang, & Gorden Videen. (2023). On the relation between ice-crystal scattering phase function at 180° and particle size: implication to lidar-based remote sensing of cirrus clouds. Optics Express. 31(11). 18680–18680. 2 indexed citations

Hu, Yongxiang, Xiaomei Lu, Xubin Zeng, et al.. (2023). Linking lidar multiple scattering profiles to snow depth and snow density: an analytical radiative transfer analysis and the implications for remote sensing of snow. SHILAP Revista de lepidopterología. 4. 3 indexed citations

Ren, Tong, Ping Yang, Xianglei Huang, Xiuhong Chen, & Zhaoyi Shen. (2023). Enhanced Cloud Top Longwave Radiative Cooling Due To the Effect of Horizontal Radiative Transfer in the Stratocumulus to Trade Cumulus Transition Regime. Geophysical Research Letters. 50(22).

Huang, Xianglei, et al.. (2022). Synergistic Use of Far‐ and Mid‐Infrared Spectral Radiances for Satellite‐Based Detection of Polar Ice Clouds Over Ocean. Journal of Geophysical Research Atmospheres. 127(9). 3 indexed citations

Ren, Tong, et al.. (2022). Performance of Cloud 3D Solvers in Ice Cloud Shortwave Radiation Closure Over the Equatorial Western Pacific Ocean. Journal of Advances in Modeling Earth Systems. 14(2). 4 indexed citations

Saito, Masanori & Ping Yang. (2021). Advanced Bulk Optical Models Linking the Backscattering and Microphysical Properties of Mineral Dust Aerosol. Geophysical Research Letters. 48(17). 30 indexed citations

10.

Saito, Masanori, Ping Yang, Xianglei Huang, et al.. (2020). Spaceborne Middle‐ and Far‐Infrared Observations Improving Nighttime Ice Cloud Property Retrievals. Geophysical Research Letters. 47(18). 14 indexed citations

11.

Zhang, Xiaodong, et al.. (2018). Diel variations of the attenuation, backscattering and absorption coefficients of four phytoplankton species and comparison with spherical, coated spherical and hexahedral particle optical models. Journal of Quantitative Spectroscopy and Radiative Transfer. 217. 288–304. 24 indexed citations

12.

Wang, Yi, et al.. (2018). Inference of an Optimal Ice Particle Model through Latitudinal Analysis of MISR and MODIS Data. Remote Sensing. 10(12). 1981–1981. 6 indexed citations

13.

Iwabuchi, Hironobu, et al.. (2017). Cloud Property Retrieval from Multiband Infrared Measurements by Himawari-8. Journal of the Meteorological Society of Japan Ser II. 96B(0). 27–42. 59 indexed citations

14.

Yang, Ping, Patrick Minnis, Norman G. Loeb, et al.. (2014). A two-habit model for the microphysical and optical properties of ice clouds. Atmospheric chemistry and physics. 14(24). 13719–13737. 55 indexed citations

15.

Yi, Bingqi, Ping Yang, Bryan A. Baum, & Tristan L’Ecuyer. (2012). Effects of ice particle surface roughness on ice cloud radiative forcing simulations. AGU Fall Meeting Abstracts. 2012.

16.

Yang, Ping, Lei Bi, George W. Kattawar, & R. Lee Panetta. (2011). Optical properties of nonspherical atmospheric particles and relevant applications. SHILAP Revista de lepidopterología. 2 indexed citations

17.

Bi, Lei, Ping Yang, George W. Kattawar, & Ralph A. Kahn. (2010). Modeling optical properties of mineral aerosol particles by using nonsymmetric hexahedra. Applied Optics. 49(3). 334–334. 82 indexed citations

18.

Ma, Xiaoyan, Jun Q. Lu, R. Scott Brock, et al.. (2003). Determination of complex refractive index of polystyrene microspheres from 370 to 1610 nm. Physics in Medicine and Biology. 48(24). 4165–4172. 286 indexed citations

19.

Nasiri, Shaima L., Bryan A. Baum, Andrew J. Heymsfield, et al.. (2002). The Development of Midlatitude Cirrus Models for MODIS Using FIRE-I, FIRE-II, and ARM In Situ Data. Journal of Applied Meteorology. 41(3). 197–217. 34 indexed citations

20.

Reichardt, Jens, et al.. (2001). Retrieval of Polar Stratospheric Cloud Microphysical Properties From Lidar Measurements: Dependence on Particle Shape Assumptions. AGU Spring Meeting Abstracts. 2001. 12 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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