Fanyou Kong

3.7k total citations
59 papers, 2.7k citations indexed

About

Fanyou Kong is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Fanyou Kong has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Atmospheric Science, 55 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Fanyou Kong's work include Meteorological Phenomena and Simulations (58 papers), Climate variability and models (52 papers) and Tropical and Extratropical Cyclones Research (17 papers). Fanyou Kong is often cited by papers focused on Meteorological Phenomena and Simulations (58 papers), Climate variability and models (52 papers) and Tropical and Extratropical Cyclones Research (17 papers). Fanyou Kong collaborates with scholars based in United States, China and Canada. Fanyou Kong's co-authors include Ming Xue, Adam J. Clark, Michael C. Coniglio, John S. Kain, Kevin W. Thomas, William A. Gallus, Xuguang Wang, Patrick T. Marsh, Steven J. Weiss and James Correia and has published in prestigious journals such as Geophysical Research Letters, Journal of Hydrology and Monthly Weather Review.

In The Last Decade

Fanyou Kong

59 papers receiving 2.6k citations

Peers

Fanyou Kong

GPC

WST

OCEAN

Marion Mittermaier United Kingdom

Craig S. Schwartz United States

Zhiyong Meng China

Bianca Adler Germany

P. Mukhopadhyay India

A. Beljaars United Kingdom

Jianhua Sun China

Roel Neggers Germany

Gwenaëlle Hello France

Sean Milton United Kingdom

Marion Mittermaier United Kingdom

Fanyou Kong

1.1k ×0.4

GPC

165 ×0.4

70 ×0.8

WST

86 ×1.4

OCEAN

Citations per year, relative to Fanyou Kong Fanyou Kong (= 1×) peers Marion Mittermaier

Countries citing papers authored by Fanyou Kong

Since Specialization

Citations

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

Fields of papers citing papers by Fanyou Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanyou Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Fanyou Kong. A scholar is included among the top collaborators of Fanyou Kong 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 Fanyou Kong. Fanyou Kong 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

Snook, Nathan, Fanyou Kong, Adam J. Clark, et al.. (2020). Comparison and Verification of Point‐Wise and Patch‐Wise Localized Probability‐Matched Mean Algorithms for Ensemble Consensus Precipitation Forecasts. Geophysical Research Letters. 47(12). 4 indexed citations

Griffin, Sarah M., Jason A. Otkin, Gregory Thompson, et al.. (2020). Assessing the Impact of Stochastic Perturbations in Cloud Microphysics using GOES-16 Infrared Brightness Temperatures. Monthly Weather Review. 148(8). 3111–3137. 12 indexed citations

Wang, Hong, et al.. (2019). An investigation into microphysical structure of a squall line in South China observed with a polarimetric radar and a disdrometer. Atmospheric Research. 226. 171–180. 22 indexed citations

Hu, Xiao‐Ming, Ming Xue, Fanyou Kong, & Hongliang Zhang. (2019). Meteorological Conditions During an Ozone Episode in Dallas‐Fort Worth, Texas, and Impact of Their Modeling Uncertainties on Air Quality Prediction. Journal of Geophysical Research Atmospheres. 124(4). 1941–1961. 23 indexed citations

Snook, Nathan, Fanyou Kong, Keith Brewster, et al.. (2019). Evaluation of Convection-Permitting Precipitation Forecast Products Using WRF, NMMB, and FV3 for the 2016–17 NOAA Hydrometeorology Testbed Flash Flood and Intense Rainfall Experiments. Weather and Forecasting. 34(3). 781–804. 26 indexed citations

Grasso, Lewis D., et al.. (2018). Improvements to Cloud-Top Brightness Temperatures Computed from the CRTM at 3.9 μm. Monthly Weather Review. 146(11). 3927–3944. 3 indexed citations

Zawadzki, Isztar, et al.. (2017). More on the Scale Dependence of the Predictability of Precipitation Patterns: Extension to the 2009–13 CAPS Spring Experiment Ensemble Forecasts. Monthly Weather Review. 145(9). 3625–3646. 29 indexed citations

Clark, Adam J., et al.. (2017). Comparison of Next-Day Probabilistic Severe Weather Forecasts from Coarse- and Fine-Resolution CAMs and a Convection-Allowing Ensemble. Weather and Forecasting. 32(4). 1403–1421. 33 indexed citations

Putnam, Bryan J., Ming Xue, Youngsun Jung, Guifu Zhang, & Fanyou Kong. (2016). Simulation of Polarimetric Radar Variables from 2013 CAPS Spring Experiment Storm-Scale Ensemble Forecasts and Evaluation of Microphysics Schemes. Monthly Weather Review. 145(1). 49–73. 48 indexed citations

10.

Kong, Fanyou, et al.. (2015). Evaluation of radar and automatic weather station data assimilation for a heavy rainfall event in southern China. Advances in Atmospheric Sciences. 32(7). 967–978. 17 indexed citations

11.

Clark, Adam J., Michael C. Coniglio, Brice E. Coffer, et al.. (2015). Sensitivity of 24-h Forecast Dryline Position and Structure to Boundary Layer Parameterizations in Convection-Allowing WRF Model Simulations. Weather and Forecasting. 30(3). 613–638. 27 indexed citations

12.

Kong, Fanyou, et al.. (2015). Bayesian Model Averaging with Stratified Sampling for Probabilistic Quantitative Precipitation Forecasting in Northern China during Summer 2010. Monthly Weather Review. 143(9). 3628–3641. 16 indexed citations

13.

Kong, Fanyou. (2014). An Overview of CAPS Storm-Scale Ensemble Forecast for the 2014 NOAA HWT Spring Forecasting Experiment. 3 indexed citations

14.

Kong, Fanyou, et al.. (2013). Impact of 3DVAR Data Assimilation on the Prediction of Heavy Rainfall over Southern China. Advances in Meteorology. 2013. 1–17. 21 indexed citations

15.

Johnson, Aaron, Xuguang Wang, Ming Xue, et al.. (2013). Multiscale Characteristics and Evolution of Perturbations for Warm Season Convection-Allowing Precipitation Forecasts: Dependence on Background Flow and Method of Perturbation. Monthly Weather Review. 142(3). 1053–1073. 56 indexed citations

16.

Clark, Adam J., Jidong Gao, Patrick T. Marsh, et al.. (2013). Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity. Weather and Forecasting. 28(2). 387–407. 71 indexed citations

17.

Kong, Fanyou, et al.. (2012). A regional ensemble forecast system for stratiform precipitation events in the Northern China Region. Part II: Seasonal evaluation for summer 2010. Advances in Atmospheric Sciences. 30(1). 15–28. 7 indexed citations

18.

Kong, Fanyou, Kelvin K. Droegemeier, & Nicki Hickmon. (2006). Multiresolution Ensemble Forecasts of an Observed Tornadic Thunderstorm System. Part I: Comparsion of Coarse- and Fine-Grid Experiments. Monthly Weather Review. 134(3). 807–833. 40 indexed citations

19.

Kong, Fanyou. (2002). An experimental simulation of a coastal fog-stratus case using COAMPS(tm) model. Atmospheric Research. 64(1-4). 205–215. 17 indexed citations

20.

Kong, Fanyou & M. K. Yau. (1997). An explicit approach to microphysics in MC2. ATMOSPHERE-OCEAN. 35(3). 257–291. 86 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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