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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐Chih Yang United States 9 289 274 99 48 13 23 353
Y. Qiang Sun China 12 534 1.8× 483 1.8× 150 1.5× 31 0.6× 18 1.4× 25 614
Kotaro Bessho Japan 11 458 1.6× 369 1.3× 95 1.0× 49 1.0× 13 1.0× 18 530
Myung‐Seo Koo South Korea 11 353 1.2× 326 1.2× 52 0.5× 31 0.6× 27 2.1× 24 409
Abdessamad Qaddouri Canada 9 367 1.3× 297 1.1× 40 0.4× 52 1.1× 11 0.8× 15 467
Keith F. Brill United States 14 690 2.4× 613 2.2× 86 0.9× 59 1.2× 29 2.2× 30 762
Di Xian China 9 244 0.8× 142 0.5× 63 0.6× 67 1.4× 12 0.9× 19 336
Hongli Wang United States 17 944 3.3× 835 3.0× 99 1.0× 109 2.3× 10 0.8× 30 1.0k
Pirkka Ollinaho Finland 8 215 0.7× 206 0.8× 37 0.4× 31 0.6× 4 0.3× 16 298
Kenneth A. Campana United States 9 431 1.5× 434 1.6× 87 0.9× 46 1.0× 14 1.1× 13 532
Per Undén United Kingdom 15 792 2.7× 764 2.8× 120 1.2× 87 1.8× 25 1.9× 19 867

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

20 of 20 papers shown
1.
Yeh, Ta‐Kang, et al.. (2024). Accuracy verification of the precipitable water vapor derived from COSMIC-2 radio occultation using ground-based GNSS. Advances in Space Research. 73(9). 4597–4607. 3 indexed citations
2.
Yang, Shu‐Chih, et al.. (2024). Estimating the refractivity bias of FORMOSAT-7/COSMIC-2 Global Navigation Satellite System (GNSS) radio occultation in the deep troposphere. Atmospheric measurement techniques. 17(11). 3605–3623. 1 indexed citations
3.
4.
5.
Lin, Chien‐Hung, et al.. (2023). 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. 61. 1–10. 11 indexed citations
6.
7.
8.
9.
Yang, Shu‐Chih, et al.. (2022). Impact of assimilating Formosat-7/COSMIC-II GNSS radio occultation data on heavy rainfall prediction in Taiwan. Terrestrial Atmospheric and Oceanic Sciences. 33(1). 11 indexed citations
10.
Yang, Shu‐Chih, et al.. (2022). Including observation error correlation for ensemble radar radial wind assimilation and its impact on heavy rainfall prediction. Quarterly Journal of the Royal Meteorological Society. 148(746). 2254–2281. 5 indexed citations
11.
Yang, Shu‐Chih, et al.. (2022). Impact of lidar data assimilation on planetary boundary layer wind and PM2.5 prediction in Taiwan. Atmospheric Environment. 277. 119064–119064. 6 indexed citations
12.
Chen, Chin-Hung, et al.. (2021). Sensitivity of Forecast Uncertainty to Different Microphysics Schemes within a Convection-Allowing Ensemble during SoWMEX-IOP8. Monthly Weather Review. 149(12). 4145–4166. 5 indexed citations
13.
Chen, Shu‐Hua, Shu‐Chih Yang, C. P. van Dam, et al.. (2019). Application of bias corrections to improve hub-height ensemble wind forecasts over the Tehachapi Wind Resource Area. Renewable Energy. 140. 281–291. 13 indexed citations
14.
Kang, Ji-Sun, et al.. (2018). 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. 145(718). 258–272.
15.
Yang, Shu‐Chih, et al.. (2017). Multilocalization data assimilation for predicting heavy precipitation associated with a multiscale weather system. Journal of Advances in Modeling Earth Systems. 9(3). 1684–1702. 6 indexed citations
16.
Kalnay, Eugenia & Shu‐Chih Yang. (2010). Accelerating the spin‐up of Ensemble Kalman Filtering. Quarterly Journal of the Royal Meteorological Society. 136(651). 1644–1651. 81 indexed citations
17.
Yang, Shu‐Chih, Christian L. Keppenne, Michele M. Rienecker, & Eugenia Kalnay. (2008). Application of Coupled Bred Vectors to Seasonal-to-Interannual Forecasting and Ocean Data Assimilation. Journal of Climate. 22(11). 2850–2870. 28 indexed citations
18.
Kalnay, Eugenia, Hong Li, Takemasa Miyoshi, Shu‐Chih Yang, & Joaquim Ballabrera‐Poy. (2007). 4-D-Var or ensemble Kalman filter?. Tellus A Dynamic Meteorology and Oceanography. 16 indexed citations
19.
Yang, Shu‐Chih. (2005). Data Assimilation as Synchronization of Truth and Model: Experiments with the Three-Variable Lorenz System. 1 indexed citations
20.
Peña, Malaquías, et al.. (2004). RISE: Undergraduates Find That Regime Changes in Lorenz's Model are Predictable. Bulletin of the American Meteorological Society. 85(4). 520–524. 45 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Y. Qiang Sun Breakdown of academic impact, for papers by Kotaro Bessho Breakdown of academic impact, for papers by Myung‐Seo Koo Breakdown of academic impact, for papers by Abdessamad Qaddouri Breakdown of academic impact, for papers by Keith F. Brill Breakdown of academic impact, for papers by Di Xian Breakdown of academic impact, for papers by Hongli Wang Breakdown of academic impact, for papers by Pirkka Ollinaho Breakdown of academic impact, for papers by Kenneth A. Campana Breakdown of academic impact, for papers by Per Undén
Rankless by CCL
2026