Haidao Lin

1.2k total citations · 1 hit paper
6 papers, 923 citations indexed

About

Haidao Lin is a scholar working on Atmospheric Science, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Haidao Lin has authored 6 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atmospheric Science, 4 papers in Global and Planetary Change and 1 paper in Computational Mechanics. Recurrent topics in Haidao Lin's work include Atmospheric and Environmental Gas Dynamics (4 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (4 papers). Haidao Lin is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (4 papers), Meteorological Phenomena and Simulations (4 papers) and Climate variability and models (4 papers). Haidao Lin collaborates with scholars based in United States, Taiwan and China. Haidao Lin's co-authors include Stanley G. Benjamin, Stephen S. Weygandt, Ming Hu, John M. Brown, Tracy Lorraine Smith, Joseph B. Olson, Eric James, Geoffrey S. Manikin, David C. Dowell and Georg Grell and has published in prestigious journals such as Applied Physics Letters, Monthly Weather Review and Weather and Forecasting.

In The Last Decade

Haidao Lin

6 papers receiving 918 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh

2015 860 citations Stanley G. Benjamin, Stephen S. Weygandt et al. Monthly Weather Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haidao Lin United States	5	794	679	165	69	54	6	923
Yongguang Zheng China	19	868 1.1×	721 1.1×	166 1.0×	39 0.6×	57 1.1×	54	1.0k
Gwenaëlle Hello France	8	892 1.1×	780 1.1×	213 1.3×	59 0.9×	138 2.6×	11	1.0k
Thorsten Reinhardt Germany	7	815 1.0×	775 1.1×	134 0.8×	24 0.3×	45 0.8×	8	945
Matthias Raschendorfer Germany	5	855 1.1×	830 1.2×	174 1.1×	25 0.4×	44 0.8×	7	1.0k
María Luisa Martín Spain	15	458 0.6×	537 0.8×	146 0.9×	71 1.0×	49 0.9×	61	694
Gary J. Jedlovec United States	17	571 0.7×	601 0.9×	181 1.1×	83 1.2×	76 1.4×	79	888
Jason C. Knievel United States	18	819 1.0×	707 1.0×	286 1.7×	28 0.4×	58 1.1×	43	1.0k
Ulrich Blahak Germany	18	1.2k 1.5×	1000 1.5×	206 1.2×	68 1.0×	52 1.0×	53	1.4k
David B. Mechem United States	18	832 1.0×	862 1.3×	112 0.7×	58 0.8×	44 0.8×	51	1.0k
Frederick H. Carr United States	16	1.2k 1.6×	1.1k 1.6×	315 1.9×	63 0.9×	105 1.9×	32	1.4k

Countries citing papers authored by Haidao Lin

Since Specialization

Citations

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

Fields of papers citing papers by Haidao Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haidao Lin

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

6 of 6 papers shown

1.

Zhu, Kefeng, Ming Xue, Ming Hu, et al.. (2019). The Impact of Satellite Radiance Data Assimilation within a Frequently Updated Regional Forecast System Using a GSI-based Ensemble Kalman Filter. Advances in Atmospheric Sciences. 36(12). 1308–1326. 12 indexed citations

2.

Lin, Haidao, et al.. (2017). Radiance Preprocessing for Assimilation in the Hourly Updating Rapid Refresh Mesoscale Model: A Study Using AIRS Data. Weather and Forecasting. 32(5). 1781–1800. 12 indexed citations

3.

Lin, Haidao, Stephen S. Weygandt, Stanley G. Benjamin, & Ming Hu. (2017). Satellite Radiance Data Assimilation within the Hourly Updated Rapid Refresh. Weather and Forecasting. 32(4). 1273–1287. 29 indexed citations

4.

Benjamin, Stanley G., Stephen S. Weygandt, John M. Brown, et al.. (2015). A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh. Monthly Weather Review. 144(4). 1669–1694. 860 indexed citations breakdown →

5.

Lin, Haidao. (2010). Assimilation of Hyperspectral Satellite Radiance Observations within Tropical Cyclones. PhDT. 1 indexed citations

6.

Hwang, H. L., et al.. (1982). Analysis of low-pressure chemical vapor deposited silicon nitride by Rutherford backscattering spectrometry. Applied Physics Letters. 41(9). 844–846. 9 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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