Long S. Chiu

3.3k total citations · 1 hit paper
73 papers, 2.4k citations indexed

About

Long S. Chiu is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Long S. Chiu has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 16 papers in Oceanography. Recurrent topics in Long S. Chiu's work include Precipitation Measurement and Analysis (35 papers), Meteorological Phenomena and Simulations (34 papers) and Climate variability and models (29 papers). Long S. Chiu is often cited by papers focused on Precipitation Measurement and Analysis (35 papers), Meteorological Phenomena and Simulations (34 papers) and Climate variability and models (29 papers). Long S. Chiu collaborates with scholars based in United States, Hong Kong and China. Long S. Chiu's co-authors include A. T. C. Chang, Benjamin Kedem, T. T. Wilheit, Dong‐Bin Shin, Gerald R. North, Robert F. Adler, Pingping Xie, Eric Nelkin, David T. Bolvin and Mathew R. P. Sapiano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Long S. Chiu

70 papers receiving 2.2k citations

Hit Papers

The Global Precipitation Climatology Project (GPCP) Month... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long S. Chiu United States 24 1.9k 1.7k 478 459 137 73 2.4k
Robert G. Fovell United States 33 2.6k 1.4× 2.3k 1.3× 468 1.0× 425 0.9× 141 1.0× 75 3.2k
Mario Marcello Miglietta Italy 36 2.8k 1.4× 2.5k 1.5× 663 1.4× 328 0.7× 137 1.0× 144 3.4k
W. James Steenburgh United States 31 2.6k 1.4× 2.4k 1.4× 228 0.5× 294 0.6× 213 1.6× 82 2.9k
Tetsuya Takemi Japan 30 2.2k 1.1× 1.9k 1.1× 391 0.8× 470 1.0× 50 0.4× 162 2.8k
Danijel Belušić Croatia 25 1.4k 0.7× 1.1k 0.6× 407 0.9× 464 1.0× 76 0.6× 70 1.9k
Patrick Tripp United States 3 2.0k 1.0× 2.0k 1.2× 874 1.8× 226 0.5× 216 1.6× 3 2.6k
Sophie Bastin France 28 1.7k 0.9× 1.8k 1.1× 377 0.8× 263 0.6× 125 0.9× 72 2.3k
Mark Iredell United States 11 2.4k 1.3× 2.2k 1.3× 976 2.0× 254 0.6× 226 1.6× 18 3.3k
Andrea Molod United States 31 2.8k 1.5× 2.8k 1.6× 524 1.1× 228 0.5× 88 0.6× 100 3.4k
Yu-Tai Hou United States 10 2.3k 1.2× 2.3k 1.3× 901 1.9× 263 0.6× 217 1.6× 12 3.0k

Countries citing papers authored by Long S. Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Long S. Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long S. Chiu. 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 Long S. Chiu. The network helps show where Long S. Chiu may publish in the future.

Co-authorship network of co-authors of Long S. Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Long S. Chiu. A scholar is included among the top collaborators of Long S. Chiu 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 Long S. Chiu. Long S. Chiu 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.
Xu, Jianjun, et al.. (2021). Recent global decrease in the inner-core rain rate of tropical cyclones. Nature Communications. 12(1). 1948–1948. 64 indexed citations
2.
Liu, Qian, Long S. Chiu, Xianjun Hao, & Chaowei Yang. (2021). Spatiotemporal Trends and Variations of the Rainfall Amount, Intensity, and Frequency in TRMM Multi-satellite Precipitation Analysis (TMPA) Data. Remote Sensing. 13(22). 4629–4629. 5 indexed citations
3.
Liu, Qian, Long S. Chiu, Donglian Sun, et al.. (2020). Spatiotemporal impacts of COVID-19 on air pollution in California, USA. The Science of The Total Environment. 750. 141592–141592. 96 indexed citations
4.
Liu, Chuntao, et al.. (2018). Precipitation characteristic changes due to global warming in a high‐resolution (16 km) ECMWF simulation. Quarterly Journal of the Royal Meteorological Society. 145(718). 303–317. 41 indexed citations
5.
Xu, Jianjun, et al.. (2017). An assessment of the impact of ATMS and CrIS data assimilation on precipitation prediction over the Tibetan Plateau. Atmospheric measurement techniques. 10(7). 2517–2531. 9 indexed citations
6.
Huang, Bohua, et al.. (2016). A multi-model analysis of the resolution influence on precipitation climatology in the Gulf Stream region. Climate Dynamics. 48(5-6). 1685–1704. 8 indexed citations
7.
Li, Sanmei, Yunyue Yu, Donglian Sun, et al.. (2014). Evaluation of 10 year AQUA/MODIS land surface temperature with SURFRAD observations. International Journal of Remote Sensing. 35(3). 830–856. 53 indexed citations
8.
Chiu, Long S., et al.. (2010). Modified Monthly Oceanic Rain-Rate Algorithm to Account for TRMM Boost. IEEE Transactions on Geoscience and Remote Sensing. 48(8). 3081–3086. 1 indexed citations
9.
Chiu, Long S., et al.. (2005). Comparison of TRMM Rainfall and Daily Gauge Data in Thailand. AGU Spring Meeting Abstracts. 2005. 3 indexed citations
10.
Chang, A. T. C. & Long S. Chiu. (2005). Decorrelation Distance Of Snow In The Colorado River Basin. 3. 1247–1250. 1 indexed citations
11.
Sun, Donglian, Zhong Liu, Long S. Chiu, et al.. (2004). Anomalous cold water detected along Mid‐Atlantic Coast. Eos. 85(15). 152–152. 9 indexed citations
12.
Chiu, Long S., et al.. (2004). MODES OF INTERANNUAL VARIABILITY OF OCEANIC EVAPORATION OBSERVED FROM GSSTF2. Gayana. 68(2). 2 indexed citations
13.
Kafatos, M., Hesham El‐Askary, Long S. Chiu, et al.. (2003). Remote sensing and GIS for regional environmental applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4886. 1–1. 1 indexed citations
14.
Chiu, Long S. & A. T. C. Chang. (2002). Diurnal cycle of oceanic precipitation from microwave radiometry. 3. 1140–1142. 1 indexed citations
15.
Chiu, Long S. & A. T. C. Chang. (2000). Oceanic Rain Column Height Derived from SSM/I. Journal of Climate. 13(23). 4125–4136. 10 indexed citations
16.
Chang, A. T. C. & Long S. Chiu. (1999). Nonsystematic Errors of Monthly Oceanic Rainfall Derived from SSM/I. Monthly Weather Review. 127(7). 1630–1638. 21 indexed citations
17.
Chang, A. T. C., Long S. Chiu, & T. T. Wilheit. (1993). Random Errors of Oceanic Monthly Rainfall Derived from SSM/I Using Probability Distribution Functions. Monthly Weather Review. 121(8). 2351–2354. 26 indexed citations
18.
Wilheit, T. T., A. T. C. Chang, & Long S. Chiu. (1991). Retrieval of Monthly Rainfall Indices from Microwave Radiometric Measurements Using Probability Distribution Functions. Journal of Atmospheric and Oceanic Technology. 8(1). 118–136. 239 indexed citations
19.
Chiu, Long S., et al.. (1990). Rain estimation from satellites: Effect of finite field of view. Journal of Geophysical Research Atmospheres. 95(D3). 2177–2185. 70 indexed citations
20.
Chiu, Long S.. (1983). Variation of Antarctic Sea Ice: An Update. Monthly Weather Review. 111(3). 578–580. 17 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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