Juanzhen Sun

7.1k total citations · 1 hit paper
103 papers, 5.4k citations indexed

About

Juanzhen Sun is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Juanzhen Sun has authored 103 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Atmospheric Science, 72 papers in Global and Planetary Change and 18 papers in Environmental Engineering. Recurrent topics in Juanzhen Sun's work include Meteorological Phenomena and Simulations (96 papers), Climate variability and models (56 papers) and Precipitation Measurement and Analysis (49 papers). Juanzhen Sun is often cited by papers focused on Meteorological Phenomena and Simulations (96 papers), Climate variability and models (56 papers) and Precipitation Measurement and Analysis (49 papers). Juanzhen Sun collaborates with scholars based in United States, China and Taiwan. Juanzhen Sun's co-authors include N. Andrew Cṙook, Chris Snyder, Fuqing Zhang, Qingnong Xiao, Hongli Wang, James W. Wilson, Dale Barker, Cynthia K. Mueller, Michael Dixon and Eunha Lim and has published in prestigious journals such as Journal of Computational Physics, Geophysical Research Letters and Journal of the Atmospheric Sciences.

In The Last Decade

Juanzhen Sun

99 papers receiving 5.2k citations

Hit Papers

Use of NWP for Nowcasting Convective Precipitation: Recen... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juanzhen Sun United States 36 5.0k 4.2k 881 401 146 103 5.4k
William A. Gallus United States 34 3.1k 0.6× 2.7k 0.6× 741 0.8× 178 0.4× 187 1.3× 125 3.6k
David C. Dowell United States 32 3.8k 0.8× 3.2k 0.8× 948 1.1× 177 0.4× 108 0.7× 66 4.1k
John Methven United Kingdom 30 2.9k 0.6× 2.8k 0.7× 284 0.3× 553 1.4× 157 1.1× 115 3.6k
Judith Berner United States 23 2.6k 0.5× 2.5k 0.6× 523 0.6× 365 0.9× 107 0.7× 44 3.2k
Melville E. Nicholls United States 20 3.3k 0.6× 2.7k 0.7× 596 0.7× 626 1.6× 102 0.7× 34 3.8k
David Gill United States 10 2.0k 0.4× 1.7k 0.4× 534 0.6× 314 0.8× 117 0.8× 12 2.7k
Zhiquan Liu United States 30 3.3k 0.7× 2.8k 0.7× 611 0.7× 270 0.7× 206 1.4× 81 3.8k
Isztar Zawadzki Canada 41 4.9k 1.0× 3.3k 0.8× 1.4k 1.6× 201 0.5× 351 2.4× 130 5.4k
Tatiana G. Smirnova United States 18 2.6k 0.5× 2.4k 0.6× 546 0.6× 144 0.4× 172 1.2× 33 3.0k
Craig J. Tremback United States 12 2.7k 0.5× 2.5k 0.6× 710 0.8× 210 0.5× 96 0.7× 16 3.4k

Countries citing papers authored by Juanzhen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Juanzhen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juanzhen Sun. 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 Juanzhen Sun. The network helps show where Juanzhen Sun may publish in the future.

Co-authorship network of co-authors of Juanzhen Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Juanzhen Sun. A scholar is included among the top collaborators of Juanzhen Sun 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 Juanzhen Sun. Juanzhen Sun 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.
Du, Yu, et al.. (2025). The Merger of a Supercell and Squall Line in the Great Plains. 1: Initiation of the Supercell. Journal of Geophysical Research Atmospheres. 130(13). 1 indexed citations
2.
Du, Yu, et al.. (2025). The Merger of a Supercell and Squall Line in the Great Plains: 2. Formation of a Bow Echo. Journal of Geophysical Research Atmospheres. 130(13).
3.
Ha, Soyoung & Juanzhen Sun. (2024). Impact of Soil Moisture Updates on Temperature Forecasting. Geophysical Research Letters. 51(15).
4.
Zhang, Qinghong, et al.. (2022). Effects of Weather Conditions on the Public Demand for Weather Information via Smartphone in Multiple Regions of China. Weather Climate and Society. 14(3). 813–822. 2 indexed citations
5.
Liou, Yu‐Chieng, et al.. (2021). Precipitation Processes of a Thunderstorm Occurred on 19 August 2014 in Northern Taiwan Documented by Using a High Resolution 4DVar Data Assimilation System. Journal of the Meteorological Society of Japan Ser II. 99(4). 1023–1044. 4 indexed citations
6.
Zhang, Qinghong, et al.. (2021). Smartphone pressure data: quality control and impact on atmospheric analysis. Atmospheric measurement techniques. 14(2). 785–801. 9 indexed citations
7.
Chen, Zhixiong, Juanzhen Sun, Xiushu Qie, et al.. (2020). A Method to Update Model Kinematic States by Assimilating Satellite‐Observed Total Lightning Data to Improve Convective Analysis and Forecasting. Journal of Geophysical Research Atmospheres. 125(22). 21 indexed citations
8.
Xiao, Xian, et al.. (2020). Lightning Data Assimilation Scheme in a 4DVAR System and Its Impact on Very Short-Term Convective Forecasting. Monthly Weather Review. 149(2). 353–373. 20 indexed citations
9.
Zhang, Qinghong, Liye Li, Brian Golding, et al.. (2019). Increasing the value of weather-related warnings. Science Bulletin. 64(10). 647–649. 32 indexed citations
10.
Sun, Juanzhen. (2018). Physical Processes Leading to Elevated Convection Initiation during 25–26 June PECAN: Convective-Scale Reanalysis Based on a Radar Data Assimilation System. 1 indexed citations
12.
Sun, Juanzhen & Hongli Wang. (2013). WRF-ARW Variational Storm-Scale Data Assimilation: Current Capabilities and Future Developments. Advances in Meteorology. 2013. 1–13. 18 indexed citations
13.
Sun, Juanzhen, Stanley B. Trier, Qingnong Xiao, et al.. (2012). Sensitivity of 0–12-h Warm-Season Precipitation Forecasts over the Central United States to Model Initialization. Weather and Forecasting. 27(4). 832–855. 49 indexed citations
14.
Liou, Yu‐Chieng, et al.. (2011). An Application of the Immersed Boundary Method for Recovering the Three-Dimensional Wind Fields over Complex Terrain Using Multiple-Doppler Radar Data. Monthly Weather Review. 140(5). 1603–1619. 34 indexed citations
15.
Sun, Juanzhen, et al.. (2008). Analysis and Prediction of a Squall Line Observed during IHOP Using Multiple WSR-88D Observations. Monthly Weather Review. 136(7). 2364–2388. 57 indexed citations
16.
Brandes, Edward A., Guifu Zhang, & Juanzhen Sun. (2006). On the Influence of Assumed Drop Size Distribution Form on Radar-Retrieved Thunderstorm Microphysics. Journal of Applied Meteorology and Climatology. 45(2). 259–268. 21 indexed citations
17.
Sugimoto, Soichiro, et al.. (2005). Assimilation of multiple-Doppler radar data with WRF-3DVAR system: Preliminary results in observing system simulation experiments [poster]. 1 indexed citations
18.
Caya, Alain, Juanzhen Sun, & Chris Snyder. (2005). A Comparison between the 4DVAR and the Ensemble Kalman Filter Techniques for Radar Data Assimilation. Monthly Weather Review. 133(11). 3081–3094. 169 indexed citations
19.
Zhang, Fuqing, Chris Snyder, & Juanzhen Sun. (2004). Impacts of Initial Estimate and Observation Availability on Convective-Scale Data Assimilation with an Ensemble Kalman Filter. Monthly Weather Review. 132(5). 1238–1253. 455 indexed citations
20.
Sun, Juanzhen. (2001). Assimilation and Forecasting of a Supercell Storm: Simulated and Observed Data Experiments. 2 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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