Sunling Gong

1.9k total citations
23 papers, 731 citations indexed

About

Sunling Gong is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sunling Gong has authored 23 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sunling Gong's work include Atmospheric chemistry and aerosols (17 papers), Atmospheric aerosols and clouds (13 papers) and Climate variability and models (5 papers). Sunling Gong is often cited by papers focused on Atmospheric chemistry and aerosols (17 papers), Atmospheric aerosols and clouds (13 papers) and Climate variability and models (5 papers). Sunling Gong collaborates with scholars based in China, Canada and United States. Sunling Gong's co-authors include Itsushi Uno, Xiaoye Zhang, Guangyu Shi, Emily V. Fischer, Yusuke Hara, N. Christina Hsu, Zheng Wang, Douglas L. Westphal, Daniel A. Jaffe and Slobodan Ničković and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Sunling Gong

23 papers receiving 707 citations

Peers

Sunling Gong

GPC

HTM

Fanmin Mei China

Tiangang Yuan China

E. E. Houssos Greece

Danny M. Leung United States

I. Uno Japan

Abbas Mofidi Iran

Sagar Parajuli United States

Linchang An China

Sabur F. Abdullaev Tajikistan

S. Naseema Beegum India

Fanmin Mei China

Sunling Gong

616 ×0.9

483 ×0.8

GPC

206 ×1.2

HTM

249 ×1.8

40 ×1.0

Citations per year, relative to Sunling Gong Sunling Gong (= 1×) peers Fanmin Mei

Countries citing papers authored by Sunling Gong

Since Specialization

Citations

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

Fields of papers citing papers by Sunling Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunling Gong

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

Liang, Bo, Jian‐Jun He, Lifeng Guo, et al.. (2024). Analysis of the spatiotemporal changes in global tropospheric ozone concentrations from 1980 to 2020. The Science of The Total Environment. 952. 175817–175817. 1 indexed citations

Jia, Jia, Jin Wang, Nana Yu, et al.. (2024). Inter-annual variability and health risk assessment of summer VOCs in a Plain City of China. Atmospheric Environment. 337. 120790–120790. 2 indexed citations

He, Jianjun, et al.. (2021). The Impact of the Variation in Weather and Season on WRF Dynamical Downscaling in the Pearl River Delta Region. Atmosphere. 12(3). 409–409. 6 indexed citations

Cheng, Xugeng, Jane Liu, Tianliang Zhao, et al.. (2020). A teleconnection between sea surface temperature in the central and eastern Pacific and wintertime haze variations in southern China. Theoretical and Applied Climatology. 143(1-2). 349–359. 3 indexed citations

He, Jianjun, et al.. (2020). Influence of Arctic Oscillation abnormalities on spatio-temporal haze distributions in China. Atmospheric Environment. 223. 117282–117282. 14 indexed citations

Gong, Sunling, et al.. (2019). Spatial and temporal distribution of open bio-mass burning in China from 2013 to 2017. Atmospheric Environment. 210. 156–165. 32 indexed citations

Cheng, Xugeng, Richard Boiyo, Tianliang Zhao, et al.. (2019). Climate modulation of Niño3.4 SST-anomalies on air quality change in southern China: Application to seasonal forecast of haze pollution. Atmospheric Research. 225. 157–164. 20 indexed citations

You, Yingchang, Xugeng Cheng, Tianliang Zhao, et al.. (2018). Variations of Haze Pollution in China Modulated by Thermal Forcing of the Western Pacific Warm Pool. Atmosphere. 9(8). 314–314. 9 indexed citations

Zhang, Xiaoxin, et al.. (2016). Improving aerosol interaction with clouds and precipitation in a regional chemical weather modeling system. Atmospheric chemistry and physics. 16(1). 145–160. 20 indexed citations

10.

Wang, Hong, Xiaoye Zhang, Sunling Gong, & Min Xue. (2013). The simulation study of the interaction between aerosols and heavy air pollution weather in East China. AIP conference proceedings. 499–502. 4 indexed citations

11.

Wang, Zhili, Hua Zhang, Xueshun Shen, Sunling Gong, & Xiaoye Zhang. (2010). Modeling study of aerosol indirect effects on global climate with an AGCM. Advances in Atmospheric Sciences. 27(5). 1064–1077. 12 indexed citations

12.

Fischer, Emily V., N. Christina Hsu, Daniel A. Jaffe, Myeong-Jae Jeong, & Sunling Gong. (2009). A decade of dust: Asian dust and springtime aerosol load in the U.S. Pacific Northwest. Geophysical Research Letters. 36(3). 53 indexed citations

13.

Gong, Sunling, X. Y. Zhang, Y. Q. Wang, et al.. (2008). Development and evaluation of an operational SDS forecasting system for East Asia: CUACE/Dust. Atmospheric chemistry and physics. 8(4). 787–798. 55 indexed citations

14.

Gong, Sunling, et al.. (2008). Global modeling of multicomponent aerosol species: Aerosol optical parameters. Journal of Geophysical Research Atmospheres. 113(D12). 8 indexed citations

15.

Gong, Sunling, et al.. (2007). Determination of cadmium in Arctic air filters by epithermal neutron activation analysis and Compton suppression. Journal of Radioanalytical and Nuclear Chemistry. 276(1). 193–197. 3 indexed citations

16.

Lavoué, D., Sunling Gong, & B. J. Stocks. (2007). Modelling emissions from Canadian wildfires: a case study of the 2002 Quebec fires. International Journal of Wildland Fire. 16(6). 649–663. 11 indexed citations

17.

Arimoto, R., Y.J. Kim, Patricia K. Quinn, et al.. (2006). Characterization of Asian Dust during ACE-Asia. Global and Planetary Change. 52(1-4). 23–56. 182 indexed citations

18.

Uno, Itsushi, Zheng Wang, Mirei Chiba, et al.. (2006). Dust model intercomparison (DMIP) study over Asia: Overview. Journal of Geophysical Research Atmospheres. 111(D12). 194 indexed citations

19.

Shi, Guangyu, Hong Wang, Biao Wang, et al.. (2005). Sensitivity Experiments on the Effects of Optical Properties of Dust Aerosols on Their Radiative Forcing under Clear Sky Condition. Journal of the Meteorological Society of Japan Ser II. 83A. 333–346. 30 indexed citations

20.

O’Neill, Norman T., Alain Royer, Martin Aubé, et al.. (2003). Atmospheric optical parameter server for atmospheric corrections of remote sensing data. 5. 2951–2953. 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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