Bing Lin

3.4k citations
62 papers · 2.8k · h-index 29

Impact in

    • Atmospheric aerosols and clouds
    • Climate variability and models
    • Meteorological Phenomena and Simulations
    • Atmospheric chemistry and aerosols
    • Precipitation Measurement and Analysis

Papers in

Bing Lin

59 papers receiving 2.7k citations

Peers

Bing Lin
Comparison fields: 5 of 51
  • Global and Planetary Change 2.2k
  • Atmospheric Science 629
  • Oceanography 136
  • Environmental Engineering 127
  • Earth-Surface Processes 49
Replace Brian Getzewich with:
Brian Getzewich United States
Xiaoguang Xu United States
Fabien Waquet France
Thomas P. Charlock United States
Wenying Su United States
Barbara Brooks United Kingdom
Akiko Higurashi Japan
Jens Bösenberg Germany
René Preusker Germany
Holger Linnè Germany
Bing Lin relative to Brian Getzewich United States Brian Getzewich's profile →
Citations per field
00.5×1.5×
Brian Getzewich · 1×
Citations per year

Countries citing papers authored by Bing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bing Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bing Lin Line = papers co-authored together Bing Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010288
2 2009269
3 2006243
4 2006242
5 2007149
6 2011123
7 200295
8 199494
9 200589
10 199673
11 200664
12 200961
13 199860
14 201154
15 199850
16 199949
17 199748
18 200645
19 200744
20 201040

About Bing Lin

Bing Lin is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Oceanography and Aerospace Engineering, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include Atmospheric aerosols and clouds (42 papers), Meteorological Phenomena and Simulations (11 papers), Climate variability and models (8 papers), Soil Moisture and Remote Sensing (5 papers), Electromagnetic Scattering and Analysis (4 papers), Ocean Waves and Remote Sensing (4 papers), Radio Wave Propagation Studies (4 papers) and Radar Systems and Signal Processing (3 papers). The work is most often cited by research in Global and Planetary Change (2.2k citations), Atmospheric Science (629 citations), Oceanography (136 citations), Environmental Engineering (127 citations) and Earth-Surface Processes (49 citations). Bing Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yongxiang Hu, Patrick Minnis B, Jianping Huang, William B. Rossow, Yuhong Yi, Wenbo Sun, Bruce A. Wielicki, Kuan‐Man Xu, Tianhe Wang and J. Kirk Ayers. Their work appears in journals such as Journal of Quantitative Spectroscopy and Radiative Transfer, Journal of Geophysical Research Atmospheres, Geophysical Research Letters, Journal of Climate and Optics Express.

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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