Ming‐Jen Yang

1.5k total citations
52 papers, 1.3k citations indexed

About

Ming‐Jen Yang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Ming‐Jen Yang has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 14 papers in Oceanography. Recurrent topics in Ming‐Jen Yang's work include Meteorological Phenomena and Simulations (34 papers), Tropical and Extratropical Cyclones Research (33 papers) and Climate variability and models (20 papers). Ming‐Jen Yang is often cited by papers focused on Meteorological Phenomena and Simulations (34 papers), Tropical and Extratropical Cyclones Research (33 papers) and Climate variability and models (20 papers). Ming‐Jen Yang collaborates with scholars based in Taiwan, United States and China. Ming‐Jen Yang's co-authors include Chung‐Hsiung Sui, Robert A. Houze, Xiaofan Li, Da‐Lin Zhang, Scott A. Braun, Fang-Ching Chien, A.E. Emanuel, Ying‐Hwa Kuo, Ling‐Feng Hsiao and Brian A. Colle and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Hydrology and Journal of the Atmospheric Sciences.

In The Last Decade

Ming‐Jen Yang

52 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
Ming‐Jen Yang Taiwan 22 1.1k 909 203 74 72 52 1.3k
Oscar Martínez‐Alvarado United Kingdom 18 818 0.7× 764 0.8× 103 0.5× 44 0.6× 90 1.3× 48 965
Huan Guo United States 18 746 0.7× 783 0.9× 65 0.3× 65 0.9× 25 0.3× 41 945
Yunyan Zhang United States 23 1.5k 1.3× 1.5k 1.7× 106 0.5× 22 0.3× 100 1.4× 62 1.7k
Haidao Lin United States 5 794 0.7× 679 0.7× 54 0.3× 27 0.4× 165 2.3× 6 923
Paolo Sanò Italy 21 932 0.8× 433 0.5× 64 0.3× 19 0.3× 264 3.7× 61 1.0k
Masaru Kunii Japan 20 905 0.8× 826 0.9× 178 0.9× 11 0.1× 120 1.7× 50 1.1k
Ben Jong‐Dao Jou Taiwan 22 1.1k 1.0× 778 0.9× 234 1.2× 20 0.3× 168 2.3× 59 1.2k
Monique Tanguay Canada 15 821 0.7× 694 0.8× 108 0.5× 10 0.1× 140 1.9× 29 912
R. S. Bell United Kingdom 6 515 0.5× 451 0.5× 146 0.7× 9 0.1× 61 0.8× 8 634
John M. Livingston United States 24 1.8k 1.6× 1.8k 2.0× 35 0.2× 28 0.4× 53 0.7× 40 2.0k

Countries citing papers authored by Ming‐Jen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Jen Yang. 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 Ming‐Jen Yang. The network helps show where Ming‐Jen Yang may publish in the future.

Co-authorship network of co-authors of Ming‐Jen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Jen Yang. A scholar is included among the top collaborators of Ming‐Jen Yang 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 Ming‐Jen Yang. Ming‐Jen Yang 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.
Chang, Pao‐Liang, et al.. (2024). An Observational Study on the Rapid Intensification of Typhoon Chanthu (2021) near the Complex Terrain of Taiwan. Monthly Weather Review. 152(3). 769–791. 2 indexed citations
2.
Yang, Ming‐Jen, et al.. (2022). The Impacts of Midlevel Moisture on the Structure, Evolution, and Precipitation of Afternoon Thunderstorms: A Real-Case Modeling Study at Taipei on 14 June 2015. Journal of the Atmospheric Sciences. 79(7). 1837–1857. 4 indexed citations
3.
Yang, Ming‐Jen, et al.. (2021). Asymmetric Structures of a Squall-Line MCS over Taiwan with Significant Hydraulic Jumps. Asia-Pacific Journal of Atmospheric Sciences. 58(3). 415–433. 1 indexed citations
4.
Yang, Ming‐Jen, et al.. (2020). ICCAD-2020 CAD contest in routing with cell movement. 1–4. 10 indexed citations
5.
Yang, Ming‐Jen, et al.. (2019). A Modeling Study of the Severe Afternoon Thunderstorm Event at Taipei on 14 June 2015: The Roles of Sea Breeze, Microphysics, and Terrain. Journal of the Meteorological Society of Japan Ser II. 98(1). 129–152. 21 indexed citations
6.
Ren, Fumin, Da‐Lin Zhang, Ming‐Jen Yang, et al.. (2019). An application of the LTP_DSEF model to heavy precipitation forecasts of landfalling tropical cyclones over China in 2018. Science China Earth Sciences. 63(1). 27–36. 5 indexed citations
7.
Yang, Ming‐Jen, et al.. (2018). The Study of Inland Eyewall Reformation of Typhoon Fanapi (2010) Using Numerical Experiments and Vorticity Budget Analysis. Journal of Geophysical Research Atmospheres. 123(17). 9604–9623. 6 indexed citations
8.
Chen, Baojun, et al.. (2017). Aerosol Impacts on the Structure, Intensity, and Precipitation of the Landfalling Typhoon Saomai (2006). Journal of Geophysical Research Atmospheres. 122(21). 22 indexed citations
9.
Hsiao, Ling‐Feng, et al.. (2015). Systematic evaluation of the impacts of GPSRO data on the prediction of typhoons over the northwestern Pacific in 2008–2010. Atmospheric measurement techniques. 8(6). 2531–2542. 28 indexed citations
10.
Yang, Ming‐Jen. (2012). Potential Vorticity Budget of Typhoon Nari (2001) at Landfall. 1 indexed citations
11.
Lee, Cheng‐Shang, Kwan Tun Lee, Yu‐Chi Wang, et al.. (2012). Assessment of sewer flooding model based on ensemble quantitative precipitation forecast. Journal of Hydrology. 506. 101–113. 31 indexed citations
12.
Huang, Ching-Yuang, Ying‐Hwa Kuo, Shu-Ya Chen, et al.. (2009). Impact of GPS radio occultation data assimilation on regional weather predictions. GPS Solutions. 14(1). 35–49. 38 indexed citations
13.
Yang, Ming‐Jen, et al.. (2008). A Modeling Study of Typhoon Nari (2001) at Landfall. Part I: Topographic Effects. Journal of the Atmospheric Sciences. 65(10). 3095–3115. 73 indexed citations
14.
Sui, Chung‐Hsiung, et al.. (2005). Estimation of Oceanic Precipitation Efficiency in Cloud Models. Journal of the Atmospheric Sciences. 62(12). 4358–4370. 78 indexed citations
15.
Yang, Ming‐Jen, et al.. (2005). A Modeling Study of Typhoon Toraji (2001): Physical Parameterization Sensitivity and Topographic Effect. Terrestrial Atmospheric and Oceanic Sciences. 16(1). 177–177. 45 indexed citations
16.
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
17.
Yang, Ming‐Jen, et al.. (2003). Evaluation of Rainfall Forecasts over Taiwan by Four Cumulus Parameterization Schemes. Journal of the Meteorological Society of Japan Ser II. 81(5). 1163–1183. 39 indexed citations
18.
Chien, Fang-Ching, Ying‐Hwa Kuo, & Ming‐Jen Yang. (2002). Precipitation Forecast of MM5 in the Taiwan Area during the 1998 Mei-yu Season. Weather and Forecasting. 17(4). 739–754. 35 indexed citations
19.
Yang, Ming‐Jen & Robert A. Houze. (1996). Momentum Budget of a Squall Line with Trailing Stratiform Precipitation: Calculations with a High-Resolution Numerical Model. Journal of the Atmospheric Sciences. 53(23). 3629–3652. 20 indexed citations
20.
Emanuel, A.E. & Ming‐Jen Yang. (1993). On the harmonic compensation in nonsinusoidal systems. IEEE Transactions on Power Delivery. 8(1). 393–399. 40 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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