Sen Chiao

1.5k total citations
52 papers, 1.0k citations indexed

About

Sen Chiao is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Sen Chiao has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 40 papers in Global and Planetary Change and 8 papers in Oceanography. Recurrent topics in Sen Chiao's work include Climate variability and models (32 papers), Meteorological Phenomena and Simulations (28 papers) and Tropical and Extratropical Cyclones Research (22 papers). Sen Chiao is often cited by papers focused on Climate variability and models (32 papers), Meteorological Phenomena and Simulations (28 papers) and Tropical and Extratropical Cyclones Research (22 papers). Sen Chiao collaborates with scholars based in United States, Puerto Rico and South Africa. Sen Chiao's co-authors include Yuh‐Lang Lin, Michael L. Kaplan, Ronald P. Weglarz, Ting-An Wang, Jerry Gao, Gang Xie, Mark R. Jury, Ching-Yuang Huang, Robert Paul and Bruce L. Miller and has published in prestigious journals such as Clinical Infectious Diseases, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

Sen Chiao

50 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sen Chiao United States	13	667	662	181	99	83	52	1.0k
Markel García‐Díez Spain	13	584 0.9×	555 0.8×	142 0.8×	92 0.9×	87 1.0×	19	827
Andreas Will Germany	6	605 0.9×	572 0.9×	108 0.6×	52 0.5×	121 1.5×	17	887
Bhishma Tyagi India	21	782 1.2×	809 1.2×	393 2.2×	402 4.1×	22 0.3×	79	1.3k
Dragutin T. Mihailović Serbia	16	452 0.7×	216 0.3×	336 1.9×	116 1.2×	21 0.3×	82	958
Konstantinos Lagouvardos Greece	20	887 1.3×	752 1.1×	216 1.2×	154 1.6×	56 0.7×	79	1.2k
Thomas L. Black United States	10	980 1.5×	1.0k 1.6×	175 1.0×	89 0.9×	94 1.1×	22	1.2k
Yansong Bao China	16	355 0.5×	397 0.6×	355 2.0×	133 1.3×	11 0.1×	52	880
Francisco J. Expósito Spain	20	823 1.2×	832 1.3×	87 0.5×	185 1.9×	57 0.7×	51	1.2k
Francesca Di Giuseppe United Kingdom	23	1.3k 1.9×	645 1.0×	217 1.2×	129 1.3×	19 0.2×	74	1.5k
Ronald D. Leeper United States	15	698 1.0×	732 1.1×	520 2.9×	73 0.7×	32 0.4×	42	1.4k

Countries citing papers authored by Sen Chiao

Since Specialization

Citations

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

Fields of papers citing papers by Sen Chiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Chiao

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Chiao. A scholar is included among the top collaborators of Sen Chiao 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 Sen Chiao. Sen Chiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Das, Debanjana, et al.. (2025). A systematic review of machine learning in groundwater monitoring. Environmental Modelling & Software. 192. 106549–106549. 4 indexed citations

Sakai, Ricardo K., et al.. (2024). Reinterpreting Trends: The Impact of Methodological Changes on Reported Sea Salt Aerosol Levels. Atmosphere. 15(7). 740–740. 1 indexed citations

YiXin, Huang, et al.. (2023). Data-Driven Soil Analysis and Evaluation for Smart Farming Using Machine Learning Approaches. Agriculture. 13(9). 1777–1777. 6 indexed citations

Das, Debanjana, et al.. (2023). Tropical Cyclonic Energy Variability in North Indian Ocean: Insights from ENSO. Climate. 11(12). 232–232. 3 indexed citations

Sakai, Ricardo K., Everette Joseph, Nicholas R. Nalli, et al.. (2023). On Saharan Air Layer Stability and Suppression of Convection over the Northern Tropical Atlantic: Case Study Analysis of a 2007 Dust Outflow Event. Atmosphere. 14(4). 707–707. 1 indexed citations

Chiao, Sen, et al.. (2021). An Observational Study of Aerosols and Tropical Cyclones over the Eastern Atlantic Ocean Basin for Recent Hurricane Seasons. Atmosphere. 12(8). 1036–1036. 2 indexed citations

Chiao, Sen, et al.. (2021). Climate Variability of Atmospheric Rivers and Droughts over the West Coast of the United States from 2006 to 2019. Atmosphere. 12(2). 201–201. 8 indexed citations

Jury, Mark R., et al.. (2019). The Intensification of Hurricane Maria 2017 in the Antilles. Atmosphere. 10(10). 590–590. 3 indexed citations

Chiao, Sen, et al.. (2019). A Case Study of Stratospheric Ozone Transport to the Northern San Francisco Bay Area and Sacramento Valley during CABOTS 2016. Journal of Applied Meteorology and Climatology. 58(12). 2675–2697. 2 indexed citations

10.

Jung, Chang Hoon, Young Jun Yoon, Junshik Um, et al.. (2019). Approximation of most penetrating particle size for fibrous filters considering Cunningham slip correction factor. Environmental Engineering Research. 25(3). 439–445. 8 indexed citations

11.

Gao, Jerry, et al.. (2018). Air Quality Prediction: Big Data and Machine Learning Approaches. International Journal of Environmental Science and Development. 9(1). 8–16. 143 indexed citations

12.

Li, Ji, et al.. (2017). Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model. Hydrology and earth system sciences. 21(2). 1279–1294. 69 indexed citations

13.

Jury, Mark R. & Sen Chiao. (2014). Representation of Ethiopian Wet Spells in Global and Nested Models. Advances in Meteorology. 2014. 1–12. 3 indexed citations

14.

Chiao, Sen, et al.. (2013). A down-valley low-level jet event during T-REX 2006. Meteorology and Atmospheric Physics. 122(1-2). 75–90. 5 indexed citations

15.

Valcour, Victor, Robert Paul, Sen Chiao, Lauren A. Wendelken, & Bruce L. Miller. (2011). Screening for Cognitive Impairment in Human Immunodeficiency Virus. Clinical Infectious Diseases. 53(8). 836–842. 97 indexed citations

16.

Chiao, Sen & Gregory S. Jenkins. (2010). Numerical Investigations on the Formation of Tropical Storm Debby during NAMMA-06. Weather and Forecasting. 25(3). 866–884. 11 indexed citations

17.

Chiao, Sen & Ana P. Barros. (2007). A Numerical Study of the Hydrometeorological Dryline in Northwest India During the Monsoon. Journal of the Meteorological Society of Japan Ser II. 85A. 337–361. 12 indexed citations

18.

Chiao, Sen, Yuh‐Lang Lin, & Michael L. Kaplan. (2004). Numerical Study of the Orographic Forcing of Heavy Precipitation during MAP IOP-2B. Monthly Weather Review. 132(9). 2184–2203. 24 indexed citations

19.

Lin, Yuh‐Lang, Sen Chiao, Ting-An Wang, Michael L. Kaplan, & Ronald P. Weglarz. (2001). Some common ingredients for orographic flooding and heavy rainfall. Weather and Forecasting. 16(6). 7 indexed citations

20.

Lin, Yuh‐Lang, Sen Chiao, Ting-An Wang, Michael L. Kaplan, & Ronald P. Weglarz. (2001). Some Common Ingredients for Heavy Orographic Rainfall. Weather and Forecasting. 16(6). 633–660. 251 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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