Shu‐Chih Yang

504 total citations
23 papers, 353 citations indexed

About

Shu‐Chih Yang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Shu‐Chih Yang has authored 23 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Shu‐Chih Yang's work include Meteorological Phenomena and Simulations (18 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (5 papers). Shu‐Chih Yang is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (5 papers). Shu‐Chih Yang collaborates with scholars based in United States, Taiwan and Japan. Shu‐Chih Yang's co-authors include Eugenia Kalnay, Brian R. Hunt, Neill E. Bowler, Kei May Lau, Paul S. Schopf, Michele M. Rienecker, Christian L. Keppenne, James A. Hansen, Malaquías Peña and Takemasa Miyoshi and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Shu‐Chih Yang

21 papers receiving 339 citations

Peers

Countries citing papers authored by Shu‐Chih Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shu‐Chih Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu‐Chih Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Chih Yang. A scholar is included among the top collaborators of Shu‐Chih 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 Shu‐Chih Yang. Shu‐Chih Yang 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

#	Title	Journal	Authors	Indexed citations
1	Accuracy verification of the precipitable water vapor derived from COSMIC-2 radio occultation using ground-based GNSS	Advances in Space Research	Ta‐Kang Yeh, Chuansheng Wang et al.	3
2	Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere	Atmospheric measurement techniques	Shu‐Chih Yang, Shu-Ya Chen et al.	1
3	Improving Afternoon Thunderstorm Prediction over Complex Terrain with the Assimilation of Dense Ground-Based Observations: Four Cases in the Taipei Basin	Weather and Forecasting	Shu‐Chih Yang, Yi‐Pin Chang et al.	1
4	Investigating the Mechanisms of an Intense Coastal Rainfall Event during TAHOPE/PRECIP-IOP3 Using a Multiscale Radar Ensemble Data Assimilation System	Monthly Weather Review	Shu‐Chih Yang, Shu‐Hua Chen et al.	0
5	A Bagged-Tree Machine Learning Model for High and Low Wind Speed Ocean Wind Retrieval From CYGNSS Measurements	IEEE Transactions on Geoscience and Remote Sensing	Chien‐Hung Lin, Y. Jade Morton et al.	11
6	Understanding the impact of assimilating FORMOSAT‐7/COSMIC‐2 radio occultation refractivity on tropical cyclone genesis: Observing system simulation experiments using Hurricane Gordon (2006) as a case study	Quarterly Journal of the Royal Meteorological Society	Shu‐Chih Yang, Shu‐Hua Chen et al.	4
7	A Regional Hybrid Gain Data Assimilation System and Preliminary Evaluation Based on Radio Occultation Reflectivity Assimilation	SOLA	Shu‐Chih Yang, Stephen G. Penny et al.	3
8	Improving Analysis and Prediction of Tropical Cyclones by Assimilating Radar and GNSS-R Wind Observations: Ensemble Data Assimilation and Observing System Simulation Experiments Using a Coupled Atmosphere–Ocean Model	Weather and Forecasting	Shu‐Chih Yang, Shuyi S. Chen et al.	8
9	Impact of assimilating Formosat-7/COSMIC-II GNSS radio occultation data on heavy rainfall prediction in Taiwan	Terrestrial Atmospheric and Oceanic Sciences	Shu‐Chih Yang et al.	11
10	Including observation error correlation for ensemble radar radial wind assimilation and its impact on heavy rainfall prediction	Quarterly Journal of the Royal Meteorological Society	Shu‐Chih Yang, Koji Terasaki et al.	5
11	Impact of lidar data assimilation on planetary boundary layer wind and PM2.5 prediction in Taiwan	Atmospheric Environment	Shu‐Chih Yang, Sheng‐Hsiang Wang et al.	6
12	Sensitivity of Forecast Uncertainty to Different Microphysics Schemes within a Convection-Allowing Ensemble during SoWMEX-IOP8	Monthly Weather Review	Chin-Hung Chen, Shu‐Chih Yang et al.	5
13	Application of bias corrections to improve hub-height ensemble wind forecasts over the Tehachapi Wind Resource Area	Renewable Energy	Shu‐Hua Chen, Shu‐Chih Yang et al.	13
14	Ensemble singular vectors as additive inflation in the Local Ensemble Transform Kalman Filter (LETKF) framework with a global NWP model	Quarterly Journal of the Royal Meteorological Society	Ji-Sun Kang, Shu‐Chih Yang et al.	0
15	Multilocalization data assimilation for predicting heavy precipitation associated with a multiscale weather system	Journal of Advances in Modeling Earth Systems	Shu‐Chih Yang, Shu‐Hua Chen et al.	6
16	Accelerating the spin‐up of Ensemble Kalman Filtering	Quarterly Journal of the Royal Meteorological Society	Eugenia Kalnay, Shu‐Chih Yang	81
17	Application of Coupled Bred Vectors to Seasonal-to-Interannual Forecasting and Ocean Data Assimilation	Journal of Climate	Shu‐Chih Yang, Christian L. Keppenne et al.	28
18	4-D-Var or ensemble Kalman filter?	Tellus A Dynamic Meteorology and Oceanography	Eugenia Kalnay, Hong Li et al.	16
19	Data Assimilation as Synchronization of Truth and Model: Experiments with the Three-Variable Lorenz System		Shu‐Chih Yang	1
20	RISE: Undergraduates Find That Regime Changes in Lorenz's Model are Predictable	Bulletin of the American Meteorological Society	Malaquías Peña, Shu‐Chih Yang et al.	45

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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