H. Lin

822 total citations
10 papers, 519 citations indexed

About

H. Lin is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, H. Lin has authored 10 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in H. Lin's work include Atmospheric aerosols and clouds (5 papers), Atmospheric chemistry and aerosols (5 papers) and Air Quality and Health Impacts (2 papers). H. Lin is often cited by papers focused on Atmospheric aerosols and clouds (5 papers), Atmospheric chemistry and aerosols (5 papers) and Air Quality and Health Impacts (2 papers). H. Lin collaborates with scholars based in United States, China and Switzerland. H. Lin's co-authors include Craig S. Schwartz, P. Huang, Ulrike Lohmann, Jean‐Pierre Blanchet, Petr Chýlek, Leiming Zhang, H. G. Leighton, W. R. Leaitch, Glen Lesins and Éric Girard and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics and Bulletin of the American Meteorological Society.

In The Last Decade

H. Lin

9 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Lin United States	7	479	424	127	50	33	10	519
Michael Geever Ireland	7	408 0.9×	347 0.8×	158 1.2×	40 0.8×	33 1.0×	16	453
Aditya Vaishya India	12	450 0.9×	357 0.8×	150 1.2×	40 0.8×	46 1.4×	29	486
Han Zou China	14	456 1.0×	371 0.9×	97 0.8×	75 1.5×	17 0.5×	30	518
Jan Griesfeller Norway	6	392 0.8×	361 0.9×	68 0.5×	19 0.4×	25 0.8×	12	425
Sara Bacer Germany	10	252 0.5×	229 0.5×	82 0.6×	34 0.7×	34 1.0×	20	342
Sung‐Nam Oh South Korea	8	340 0.7×	308 0.7×	141 1.1×	50 1.0×	13 0.4×	27	451
P. Huang China	7	316 0.7×	277 0.7×	140 1.1×	29 0.6×	9 0.3×	9	367
Ribu Cherian Germany	15	568 1.2×	565 1.3×	125 1.0×	44 0.9×	19 0.6×	24	645
Katsuhiro Yoshioka Japan	9	262 0.5×	243 0.6×	77 0.6×	24 0.5×	20 0.6×	16	333
P. Chamard Italy	9	431 0.9×	440 1.0×	49 0.4×	37 0.7×	35 1.1×	12	511

Countries citing papers authored by H. Lin

Since Specialization

Citations

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

Fields of papers citing papers by H. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of H. Lin. A scholar is included among the top collaborators of H. 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 H. Lin. H. Lin 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:

10 of 10 papers shown

1.

Lin, H., Ke Ding, Xin Huang, et al.. (2024). Impacts of Northward Typhoons on Autumn Haze Pollution Over North China Plain. Journal of Geophysical Research Atmospheres. 129(6). 3 indexed citations

2.

Lin, H., et al.. (2024). Deep Learning Application for Solar Power Generation Forecasting with Weather Patterns. 219–224.

3.

Xu, Ruochong, et al.. (2020). A Comparison Study of Indoor and Outdoor Air Quality in Nanjing, China. Aerosol and Air Quality Research. 20(10). 2128–2141. 15 indexed citations

4.

Bromwich, David H., Aaron B. Wilson, Michael Barlage, et al.. (2017). The Arctic System Reanalysis, Version 2. Bulletin of the American Meteorological Society. 99(4). 805–828. 98 indexed citations

5.

Shafer, Mark, Cecilia M. Bitz, Andy Brown, et al.. (2015). Developing a U.S. Research Agenda to Advance Subseasonal to Seasonal Forecasting. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

6.

Schwartz, Craig S., et al.. (2014). The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States. Geoscientific model development. 7(6). 2709–2715. 32 indexed citations

7.

Pagowski, Mariusz, et al.. (2014). Implementation of aerosol assimilation in Gridpoint Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1). Geoscientific model development. 7(4). 1621–1627. 41 indexed citations

8.

Saide, Pablo E., Gregory R. Carmichael, Craig S. Schwartz, et al.. (2013). Aerosol optical depth assimilation for a size-resolved sectional model: impacts of observationally constrained, multi-wavelength and fine mode retrievals on regional scale analyses and forecasts. Atmospheric chemistry and physics. 13(20). 10425–10444. 76 indexed citations

9.

Gong, Sunling, L. A. Barrie, Jean‐Pierre Blanchet, et al.. (2003). Canadian Aerosol Module: A size‐segregated simulation of atmospheric aerosol processes for climate and air quality models 1. Module development. Journal of Geophysical Research Atmospheres. 108(D1). 245 indexed citations

10.

Lin, H., et al.. (2000). On the seasonal inconsistency of altimeter wind speed algorithms. International Journal of Remote Sensing. 21(10). 2119–2125. 8 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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