Guangxing Lin

5.2k total citations · 1 hit paper
67 papers, 1.8k citations indexed

About

Guangxing Lin is a scholar working on Atmospheric Science, Global and Planetary Change and Catalysis. According to data from OpenAlex, Guangxing Lin has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 37 papers in Global and Planetary Change and 18 papers in Catalysis. Recurrent topics in Guangxing Lin's work include Atmospheric chemistry and aerosols (27 papers), Atmospheric aerosols and clouds (19 papers) and Climate variability and models (18 papers). Guangxing Lin is often cited by papers focused on Atmospheric chemistry and aerosols (27 papers), Atmospheric aerosols and clouds (19 papers) and Climate variability and models (18 papers). Guangxing Lin collaborates with scholars based in United States, China and Russia. Guangxing Lin's co-authors include Joyce E. Penner, Toshio Yamagata, Hisashi Nakamura, Sanford Sillman, Cheng Zhou, Zuntao Fu, Akinori Ito, Li Xu, Yun Qian and L. Ruby Leung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Guangxing Lin

64 papers receiving 1.8k citations

Hit Papers

Tracking 3D Drought Events Across Global River Basins: Cl... 2025 2026 2025 10 20 30 40

Peers

Guangxing Lin
T. Diehl United States
Sandip Dhomse United Kingdom
Run‐Lie Shia United States
Laura T. Iraci United States
Dickon Young United Kingdom
Hartmut Bösch United Kingdom
M. M. Hurwitz United States
T. Diehl United States
Guangxing Lin
Citations per year, relative to Guangxing Lin Guangxing Lin (= 1×) peers T. Diehl

Countries citing papers authored by Guangxing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guangxing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxing Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxing Lin. A scholar is included among the top collaborators of Guangxing Lin 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 Guangxing Lin. Guangxing Lin 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.
Feng, Xin, Xushu Wu, Shengzhi Huang, et al.. (2025). Tracking 3D Drought Events Across Global River Basins: Climatology, Spatial Footprint, and Temporal Changes. Geophysical Research Letters. 52(3). 44 indexed citations breakdown →
2.
Wang, Weiyi, et al.. (2025). The Impact of Model Horizontal Resolution on Aerosol Modeling Over East Asia Using Variable‐Resolution CESM2. Journal of Geophysical Research Atmospheres. 130(12).
3.
Lü, Yuling, Shihao Zhu, Guangxing Lin, Meng Wang, & Ce Wang. (2025). Research on ultrasonic demulsification characteristics and parameter optimization of condensate oil emulsion. Chemical Engineering and Processing - Process Intensification. 209. 110185–110185. 3 indexed citations
4.
Lin, Guangxing, et al.. (2025). Designing metal–phenolic networks in biomedicine. Applied Materials Today. 45. 102822–102822. 3 indexed citations
5.
Liu, Xiaohong, Chenglai Wu, Guangxing Lin, et al.. (2024). Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices. Geophysical Research Letters. 51(9). 2 indexed citations
6.
Lin, Guangxing, et al.. (2024). Constraining Light Absorption of Brown Carbon in China and Implications for Aerosol Direct Radiative Effect. Geophysical Research Letters. 51(16). 6 indexed citations
7.
Song, Yu‐Fei & Guangxing Lin. (2024). Environmental thermal efficiency analysis and indoor green landscape design based on point cloud model. Thermal Science and Engineering Progress. 57. 103166–103166. 1 indexed citations
8.
Liu, Xiaohong, et al.. (2024). Regional to global distributions, trends, and drivers of biogenic volatile organic compound emission from 2001 to 2020. Atmospheric chemistry and physics. 24(5). 3309–3328. 24 indexed citations
9.
Lou, Shuhan, Yufu Liu, Yuqi Bai, et al.. (2023). Projections of mortality risk attributable to short-term exposure to landscape fire smoke in China, 2021–2100: a health impact assessment study. The Lancet Planetary Health. 7(10). e841–e849. 9 indexed citations
10.
Wu, Chenglai, Zhaohui Lin, Xiaohong Liu, et al.. (2021). Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events. Journal of Advances in Modeling Earth Systems. 13(10). 13 indexed citations
11.
Myhre, Gunnar, B. H. Samset, Kari Alterskjær, et al.. (2020). Cloudy-sky contributions to the direct aerosol effect. Atmospheric chemistry and physics. 20(14). 8855–8865. 10 indexed citations
12.
Sarangi, Chandan, Yun Qian, Karl Rittger, et al.. (2019). Impact of light-absorbing particles on snow albedo darkening and associated radiative forcing over high-mountain Asia: high-resolution WRF-Chem modeling and new satellite observations. Atmospheric chemistry and physics. 19(10). 7105–7128. 52 indexed citations
13.
Lin, Guangxing, S. J. Ghan, Minghuai Wang, et al.. (2018). Development and Evaluation of an Explicit Treatment of Aerosol Processes at Cloud Scale Within a Multi‐Scale Modeling Framework (MMF). Journal of Advances in Modeling Earth Systems. 10(7). 1663–1679. 1 indexed citations
14.
Zhou, Cheng, Joyce E. Penner, Guangxing Lin, Xiaohong Liu, & Minghuai Wang. (2016). What controls the low ice number concentration in the upper troposphere?. Atmospheric chemistry and physics. 16(19). 12411–12424. 14 indexed citations
15.
Lin, Guangxing, Sanford Sillman, Joyce E. Penner, & Akinori Ito. (2014). Global modeling of SOA: the use of different mechanisms for aqueous-phase formation. Atmospheric chemistry and physics. 14(11). 5451–5475. 92 indexed citations
16.
Stier, Philip, Nick Schutgens, Nicolas Bellouin, et al.. (2013). Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom Prescribed intercomparison study. Atmospheric chemistry and physics. 13(6). 3245–3270. 120 indexed citations
17.
Zhao, C., Xiaohong Liu, Yun Qian, et al.. (2012). Sensitivity of Radiative Fluxes at Top of Atmosphere to Cloud-Microphysics and Aerosol Parameters in the Community Atmosphere Model (CAM5). AGU Fall Meeting Abstracts. 2012. 1 indexed citations
18.
Yang, Ben, et al.. (2012). Some issues in uncertainty quantification and parameter tuning: a case study of convective parameterization scheme in the WRF regional climate model. Atmospheric chemistry and physics. 12(5). 2409–2427. 117 indexed citations
19.
Lin, Guangxing, Joyce E. Penner, Sanford Sillman, Domenico Taraborrelli, & Jos Lelieveld. (2012). Global modeling of SOA formation from dicarbonyls, epoxides, organic nitrates and peroxides. Atmospheric chemistry and physics. 12(10). 4743–4774. 73 indexed citations
20.
Rozovskii, A. Ya., et al.. (2008). Selective CO oxidation on a Ru/Al2O3 catalyst in the surface ignition regime: 1. Fine purification of hydrogen-containing gases. Kinetics and Catalysis. 49(1). 92–102. 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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