Ben Jong‐Dao Jou

1.8k total citations
59 papers, 1.2k citations indexed

About

Ben Jong‐Dao Jou is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Ben Jong‐Dao Jou has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Atmospheric Science, 29 papers in Global and Planetary Change and 14 papers in Oceanography. Recurrent topics in Ben Jong‐Dao Jou's work include Meteorological Phenomena and Simulations (41 papers), Tropical and Extratropical Cyclones Research (33 papers) and Climate variability and models (22 papers). Ben Jong‐Dao Jou is often cited by papers focused on Meteorological Phenomena and Simulations (41 papers), Tropical and Extratropical Cyclones Research (33 papers) and Climate variability and models (22 papers). Ben Jong‐Dao Jou collaborates with scholars based in Taiwan, United States and China. Ben Jong‐Dao Jou's co-authors include Pao‐Liang Chang, Wen-Chau Lee, Yali Luo, Hui Wang, Cheng‐Ku Yu, Yen‐Ming Chiang, Fi‐John Chang, Wen-Chau Lee, Kun Zhao and Fang-Ching Chien and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

Ben Jong‐Dao Jou

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Jong‐Dao Jou Taiwan 22 1.1k 778 234 168 37 59 1.2k
Gwenaëlle Hello France 8 892 0.8× 780 1.0× 138 0.6× 213 1.3× 30 0.8× 11 1.0k
Pierre Brousseau France 16 1.2k 1.1× 1.1k 1.4× 209 0.9× 262 1.6× 24 0.6× 28 1.4k
Kohei Aranami Japan 7 751 0.7× 651 0.8× 136 0.6× 103 0.6× 16 0.4× 9 866
Mark T. Stoelinga United States 22 1.5k 1.4× 1.4k 1.8× 168 0.7× 137 0.8× 37 1.0× 47 1.6k
Paul J. Kocin United States 15 1.0k 0.9× 887 1.1× 134 0.6× 133 0.8× 21 0.6× 39 1.2k
R. M. Gairola India 18 1.0k 0.9× 799 1.0× 301 1.3× 232 1.4× 30 0.8× 91 1.3k
J. P. Lafore France 3 779 0.7× 740 1.0× 113 0.5× 171 1.0× 70 1.9× 3 950
Haidao Lin United States 5 794 0.7× 679 0.9× 54 0.2× 165 1.0× 29 0.8× 6 923
Jason C. Knievel United States 18 819 0.8× 707 0.9× 58 0.2× 286 1.7× 29 0.8× 43 1.0k
Zhiyong Meng China 29 2.3k 2.1× 2.0k 2.6× 268 1.1× 250 1.5× 34 0.9× 72 2.4k

Countries citing papers authored by Ben Jong‐Dao Jou

Since Specialization
Citations

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

Fields of papers citing papers by Ben Jong‐Dao Jou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Jong‐Dao Jou. 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 Ben Jong‐Dao Jou. The network helps show where Ben Jong‐Dao Jou may publish in the future.

Co-authorship network of co-authors of Ben Jong‐Dao Jou

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Jong‐Dao Jou. A scholar is included among the top collaborators of Ben Jong‐Dao Jou 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 Ben Jong‐Dao Jou. Ben Jong‐Dao Jou 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
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Chen, Yuchun, et al.. (2023). Strategy analysis of the extrapolation adjusted by model prediction (ExAMP) blending scheme for rainfall nowcasting. Terrestrial Atmospheric and Oceanic Sciences. 34(1). 2 indexed citations
4.
Jou, Ben Jong‐Dao, et al.. (2023). Bulk Microphysical Characteristics of a Heavy-Rain Complex Thunderstorm System in the Taipei Basin. Monthly Weather Review. 151(4). 877–896. 2 indexed citations
5.
Jou, Ben Jong‐Dao, et al.. (2022). Mesoscale Circulation and Intensity Changes of a Landfalling Typhoon: Role of the Coastal Barrier Jet. Monthly Weather Review. 150(12). 3325–3346.
6.
Hong, Jing‐Shan, et al.. (2021). Blend global analyses into the cyclic convective-scale data assimilation system to improve short-term QPF. Terrestrial Atmospheric and Oceanic Sciences. 32(5.1). 2 indexed citations
7.
Chang, Pao‐Liang, et al.. (2021). Removing interference echoes in Philippine radars using a fuzzy logic approach. Terrestrial Atmospheric and Oceanic Sciences. 32(5.1). 1 indexed citations
8.
Wang, Chung‐Chieh, et al.. (2020). A Modeling Study on the Impacts of Typhoon Morakot's (2009) Vortex Structure on Rainfall in Taiwan Using Piecewise Potential Vorticity Inversion. Journal of the Meteorological Society of Japan Ser II. 98(4). 707–733. 4 indexed citations
9.
Wu, Dan, Xiaotu Lei, Leiming Ma, et al.. (2017). Improving the extreme rainfall forecast of Typhoon Morakot (2009) by assimilating radar data from Taiwan Island and mainland China. Journal of Meteorological Research. 31(4). 747–766. 7 indexed citations
10.
Lee, Dong‐In, et al.. (2012). Microphysical Properties of Maritime Squall Line Observed on June 2, 2008 in Taiwan. Journal of the Meteorological Society of Japan Ser II. 90(5). 833–850. 25 indexed citations
11.
Davis, Christopher A., et al.. (2010). A Subtropical Oceanic Mesoscale Convective Vortex Observed during SoWMEX/TiMREX. Monthly Weather Review. 139(8). 2367–2385. 23 indexed citations
12.
Lee, Wen-Chau, et al.. (2006). Doppler Velocity Signatures of Idealized Elliptical Vortices. Terrestrial Atmospheric and Oceanic Sciences. 17(2). 429–429. 9 indexed citations
13.
Jou, Ben Jong‐Dao. (2006). Preface to the Special Issue on Severe Weather Research in Taiwan. Terrestrial Atmospheric and Oceanic Sciences. 17(1). 1–1. 1 indexed citations
14.
Yu, Cheng‐Ku & Ben Jong‐Dao Jou. (2005). Radar Observations of the Diurnally Forced Offshore Convective Lines along the Southeastern Coast of Taiwan. Monthly Weather Review. 133(6). 1613–1636. 34 indexed citations
15.
Yang, Ming‐Jen, et al.. (2004). Ensemble prediction of rainfall during the 2000–2002 Mei‐Yu seasons: Evaluation over the Taiwan area. Journal of Geophysical Research Atmospheres. 109(D18). 11 indexed citations
16.
Wu, Guoxiong, et al.. (2002). East Asia and Western Pacific Meteorology and Climate. 4 indexed citations
17.
Wu, Chun‐Chieh, Hung‐Chi Kuo, Huang‐Hsiung Hsu, & Ben Jong‐Dao Jou. (2000). Weather and Climate Research in Taiwan: Potential Application of GPS/MET Data. Terrestrial Atmospheric and Oceanic Sciences. 11(1). 211–211. 1 indexed citations
18.
Jou, Ben Jong‐Dao, et al.. (1998). Mesoscale Structures of Air Flow in a Mei-yu Front Leading Edge Observed by Aircraft off the East Coast of Taiwan during TAMEX IOP 9. Journal of the Meteorological Society of Japan Ser II. 76(4). 473–496. 1 indexed citations
19.
Jorgensen, David P., Margaret A. LeMone, & Ben Jong‐Dao Jou. (1991). Precipitation and Kinematic Structure of an Oceanic Mesoscale Convective System. Part I: Convective Line Structure. Monthly Weather Review. 119(11). 2608–2637. 32 indexed citations
20.
Jou, Ben Jong‐Dao, et al.. (1991). Airborne Doppler radar observation of an oceanic mesoscale convective system during TAMEX. 1 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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