Wei‐Yu Chang

485 total citations
19 papers, 368 citations indexed

About

Wei‐Yu Chang is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Wei‐Yu Chang has authored 19 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 6 papers in Environmental Engineering and 6 papers in Global and Planetary Change. Recurrent topics in Wei‐Yu Chang's work include Precipitation Measurement and Analysis (17 papers), Meteorological Phenomena and Simulations (16 papers) and Soil Moisture and Remote Sensing (6 papers). Wei‐Yu Chang is often cited by papers focused on Precipitation Measurement and Analysis (17 papers), Meteorological Phenomena and Simulations (16 papers) and Soil Moisture and Remote Sensing (6 papers). Wei‐Yu Chang collaborates with scholars based in Taiwan, United States and South Korea. Wei‐Yu Chang's co-authors include Pay‐Liam Lin, Wen-Chau Lee, Yu‐Chieng Liou, J. Hubbert, Scott Ellis, Jothiram Vivekanandan, Steven A. Rutledge, Jayalakshmi Janapati, Michael Dixon and Balaji Kumar Seela and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing and Monthly Weather Review.

In The Last Decade

Wei‐Yu Chang

17 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei‐Yu Chang Taiwan 10 335 179 73 28 22 19 368
Kamil Mróz United Kingdom 14 469 1.4× 266 1.5× 78 1.1× 18 0.6× 23 1.0× 23 504
Ahoro Adachi Japan 11 282 0.8× 175 1.0× 111 1.5× 14 0.5× 19 0.9× 27 316
S. Cosma France 7 325 1.0× 279 1.6× 52 0.7× 20 0.7× 24 1.1× 11 378
J. P. Pinty France 9 214 0.6× 204 1.1× 35 0.5× 33 1.2× 12 0.5× 12 254
Daniel Watters United Kingdom 9 268 0.8× 173 1.0× 49 0.7× 7 0.3× 24 1.1× 11 298
X. Dou China 8 607 1.8× 310 1.7× 202 2.8× 59 2.1× 27 1.2× 13 639
Alain Culoma Netherlands 5 235 0.7× 230 1.3× 18 0.2× 24 0.9× 17 0.8× 10 274
Wataru Mashiko Japan 9 303 0.9× 205 1.1× 94 1.3× 30 1.1× 35 1.6× 23 349
Valentin Louf Australia 10 340 1.0× 220 1.2× 94 1.3× 17 0.6× 25 1.1× 29 387
Nicoletta Roberto Italy 11 289 0.9× 127 0.7× 107 1.5× 12 0.4× 20 0.9× 26 321

Countries citing papers authored by Wei‐Yu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Yu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Yu Chang. 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 Wei‐Yu Chang. The network helps show where Wei‐Yu Chang may publish in the future.

Co-authorship network of co-authors of Wei‐Yu Chang

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

All Works

19 of 19 papers shown
1.
Chang, Wei‐Yu, et al.. (2024). Estimating the snow density using collocated Parsivel and Micro-Rain Radar measurements: a preliminary study from ICE-POP 2017/2018. Atmospheric chemistry and physics. 24(20). 11955–11979.
2.
3.
Chang, Wei‐Yu, et al.. (2024). A Localized Quantitative Precipitation Estimation for S-Band Polarimetric Radar in Taiwan. Journal of Hydrometeorology. 25(11). 1697–1712. 2 indexed citations
4.
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Wang, Sheng‐Hsiang, et al.. (2023). Evaluation of hygroscopic cloud seeding in warm-rain processes by a hybrid microphysics scheme using a Weather Research and Forecasting (WRF) model: a real case study. Atmospheric chemistry and physics. 23(18). 10423–10438. 1 indexed citations
6.
Chang, Wei‐Yu, et al.. (2022). Long-Term Assessment of the Reflectivity Biases and Wet-Radome Effect Using Collocated Operational S- and C-Band Dual-Polarization Radars. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 2 indexed citations
7.
Chang, Wei‐Yu, et al.. (2021). A Synthetic Quantitative Precipitation Estimation by Integrating S- and C-Band Dual-Polarization Radars over Northern Taiwan. Remote Sensing. 13(1). 154–154. 7 indexed citations
8.
Seela, Balaji Kumar, Jayalakshmi Janapati, C. K. Unnikrishnan, et al.. (2021). Raindrop Size Distributions of North Indian Ocean Tropical Cyclones Observed at the Coastal and Inland Stations in South India. Remote Sensing. 13(16). 3178–3178. 23 indexed citations
9.
Chang, Wei‐Yu, GyuWon Lee, Ben Jong‐Dao Jou, et al.. (2020). Uncertainty in Measured Raindrop Size Distributions from Four Types of Collocated Instruments. Remote Sensing. 12(7). 1167–1167. 24 indexed citations
10.
Lin, Pay‐Liam, et al.. (2019). Microphysical Characteristics and Types of Precipitation for Different Seasons over North Taiwan. Journal of the Meteorological Society of Japan Ser II. 97(4). 841–865. 21 indexed citations
11.
Hsu, R., Wei‐Yu Chang, Han‐Tzong Su, et al.. (2018). Triangulation and Coupling of Gigantic Jets Near the Lower Ionosphere Altitudes. Journal of Geophysical Research Space Physics. 123(8). 6904–6916. 6 indexed citations
12.
Chang, Wei‐Yu, Jothiram Vivekanandan, Kyoko Ikeda, & Pay‐Liam Lin. (2016). Quantitative Precipitation Estimation of the Epic 2013 Colorado Flood Event: Polarization Radar-Based Variational Scheme. Journal of Applied Meteorology and Climatology. 55(7). 1477–1495. 14 indexed citations
13.
Hubbert, J., Scott Ellis, Wei‐Yu Chang, Steven A. Rutledge, & Michael Dixon. (2014). Modeling and Interpretation of S-Band Ice Crystal Depolarization Signatures from Data Obtained by Simultaneously Transmitting Horizontally and Vertically Polarized Fields. Journal of Applied Meteorology and Climatology. 53(6). 1659–1677. 36 indexed citations
14.
Hubbert, J., et al.. (2014). X-Band Polarimetric Observations of Cross Coupling in the Ice Phase of Convective Storms in Taiwan. Journal of Applied Meteorology and Climatology. 53(6). 1678–1695. 14 indexed citations
15.
Chang, Wei‐Yu, Wen-Chau Lee, & Yu‐Chieng Liou. (2014). The Kinematic and Microphysical Characteristics and Associated Precipitation Efficiency of Subtropical Convection during SoWMEX/TiMREX. Monthly Weather Review. 143(1). 317–340. 49 indexed citations
16.
Chang, Wei‐Yu, et al.. (2013). Estimation of X-Band Polarimetric Radar Attenuation and Measurement Uncertainty Using a Variational Method. Journal of Applied Meteorology and Climatology. 53(4). 1099–1119. 14 indexed citations
17.
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Chen, Shu‐Hua, et al.. (2011). Observing System Simulation Experiment: Development of the system and preliminary results. Journal of Geophysical Research Atmospheres. 116(D13). 6 indexed citations
19.
Chang, Wei‐Yu, et al.. (2009). Characteristics of the Raindrop Size Distribution and Drop Shape Relation in Typhoon Systems in the Western Pacific from the 2D Video Disdrometer and NCU C-Band Polarimetric Radar. Journal of Atmospheric and Oceanic Technology. 26(10). 1973–1993. 125 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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