Ning Sun

1.8k total citations
72 papers, 1.2k citations indexed

About

Ning Sun is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Ning Sun has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Global and Planetary Change, 41 papers in Water Science and Technology and 33 papers in Atmospheric Science. Recurrent topics in Ning Sun's work include Hydrology and Watershed Management Studies (39 papers), Flood Risk Assessment and Management (28 papers) and Cryospheric studies and observations (20 papers). Ning Sun is often cited by papers focused on Hydrology and Watershed Management Studies (39 papers), Flood Risk Assessment and Management (28 papers) and Cryospheric studies and observations (20 papers). Ning Sun collaborates with scholars based in United States, China and New Zealand. Ning Sun's co-authors include Mark S. Wigmosta, Hongxiang Yan, J. R. Yearsley, Myrna Hall, Dennis P. Lettenmaier, L. Ruby Leung, Zhangshuan Hou, Richard L. Skaggs, Bongghi Hong and Nathalie Voisin and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ning Sun

65 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
Ning Sun United States 22 662 636 448 264 142 72 1.2k
Xiaoya Deng China 18 428 0.6× 340 0.5× 159 0.4× 164 0.6× 55 0.4× 64 888
Xiaosong Zhao China 16 594 0.9× 322 0.5× 177 0.4× 130 0.5× 65 0.5× 54 920
Noora Veijalainen Finland 18 347 0.5× 390 0.6× 171 0.4× 72 0.3× 75 0.5× 37 828
Fubo Zhao China 21 746 1.1× 602 0.9× 233 0.5× 282 1.1× 37 0.3× 49 1.3k
Tsung‐Yu Lee Taiwan 20 249 0.4× 383 0.6× 253 0.6× 126 0.5× 75 0.5× 71 1.0k
Hui Tao China 14 529 0.8× 410 0.6× 224 0.5× 127 0.5× 27 0.2× 44 879
Tianye Wang China 20 253 0.4× 243 0.4× 312 0.7× 178 0.7× 15 0.1× 79 1.1k
Ruida Zhong China 15 937 1.4× 518 0.8× 583 1.3× 200 0.8× 28 0.2× 33 1.4k
Dominique Thiéry France 17 253 0.4× 412 0.6× 45 0.1× 399 1.5× 100 0.7× 44 807

Countries citing papers authored by Ning Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ning Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Sun. A scholar is included among the top collaborators of Ning 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 Ning Sun. Ning 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.
Cooper, Matthew G., Ning Sun, Mark S. Wigmosta, et al.. (2025). Enhanced flood synchrony and downstream severity in the Delaware River under rising temperatures. Communications Earth & Environment. 6(1). 1 indexed citations
2.
Yan, Hongxiang, Ning Sun, Hisham Eldardiry, et al.. (2025). Ensemble‐Based Spatially Distributed CLM5 Hydrological Parameter Estimation for the Continental United States. Journal of Advances in Modeling Earth Systems. 17(2). 2 indexed citations
3.
Balaguru, Karthik, et al.. (2025). Projecting U.S. coastal storm surge risks and impacts with deep learning. Environmental Research Letters. 20(10). 104013–104013.
4.
Yan, Hongxiang, Mark S. Wigmosta, Ning Sun, Song Gao, & Michael H. Huesemann. (2025). Enhancing Biomass Productivity by Forecast‐Informed Pond Operations. Biotechnology and Bioengineering. 122(5). 1245–1257.
5.
Yan, Hongxiang, Zhuoran Duan, Mark S. Wigmosta, et al.. (2025). How Flood Hazards in a Warming Climate Could Be Amplified by Changes in Spatiotemporal Patterns and Mechanisms of Water Available for Runoff. Earth s Future. 13(3). 2 indexed citations
6.
Sun, Ning, et al.. (2024). Multisectoral analysis of drought impacts and management responses to the 2008–2015 record drought in the Colorado Basin, Texas. Natural hazards and earth system sciences. 24(5). 1871–1896. 1 indexed citations
7.
Sun, Ning, Mark S. Wigmosta, Hongxiang Yan, et al.. (2024). Amplified Extreme Floods and Shifting Flood Mechanisms in the Delaware River Basin in Future Climates. Earth s Future. 12(3). 8 indexed citations
8.
Yao, Lili, et al.. (2024). Assessing the complex influences of water management on hydrological drought characteristics in Texas. Environmental Research Letters. 19(11). 114034–114034. 1 indexed citations
9.
Yan, Hongxiang, Zhuoran Duan, Mark S. Wigmosta, et al.. (2024). Observation-Based Evaluation of Flood Estimation Techniques for a Small Snow-Dominated Basin in the Washington Cascade Mountains. Journal of Hydrologic Engineering. 29(3). 1 indexed citations
10.
Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2023). The Role of Snowmelt Temporal Pattern in Flood Estimation for a Small Snow‐Dominated Basin in the Sierra Nevada. Water Resources Research. 59(10). 10 indexed citations
11.
Yan, Hongxiang, Ning Sun, Hisham Eldardiry, et al.. (2023). Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States. Scientific Data. 10(1). 187–187. 13 indexed citations
12.
Yan, Hongxiang, Zhuoran Duan, Mark S. Wigmosta, et al.. (2023). Next-Generation Intensity-Duration-Frequency Curves for Diverse Land across the Continental United States. Scientific Data. 10(1). 863–863. 1 indexed citations
13.
Sun, Ning, Hongxiang Yan, Mark S. Wigmosta, et al.. (2022). Datasets for characterizing extreme events relevant to hydrologic design over the conterminous United States. Scientific Data. 9(1). 154–154. 13 indexed citations
14.
Sun, Ning, Hongxiang Yan, Mark S. Wigmosta, et al.. (2022). Forest Canopy Density Effects on Snowpack Across the Climate Gradients of the Western United States Mountain Ranges. Water Resources Research. 58(1). 28 indexed citations
15.
Yan, Hongxiang, Mark S. Wigmosta, Ning Sun, Michael H. Huesemann, & Song Gao. (2021). Real‐time ensemble microalgae growth forecasting with data assimilation. Biotechnology and Bioengineering. 118(3). 1419–1424. 5 indexed citations
16.
Yan, Hongxiang, et al.. (2021). Greater vulnerability of snowmelt-fed river thermal regimes to a warming climate. Environmental Research Letters. 16(5). 54006–54006. 33 indexed citations
17.
Vernon, Chris, et al.. (2021). mosartwmpy: A Python implementation of the MOSART-WM coupled hydrologic routing and water management model. The Journal of Open Source Software. 6(62). 3221–3221. 9 indexed citations
18.
Yan, Hongxiang, Ning Sun, Mark S. Wigmosta, et al.. (2019). Next-Generation Intensity–Duration–Frequency Curves to Reduce Errors in Peak Flood Design. Journal of Hydrologic Engineering. 24(7). 24 indexed citations
19.
Sun, Ning, Hongxiang Yan, Mark S. Wigmosta, et al.. (2019). Regional Snow Parameters Estimation for Large‐Domain Hydrological Applications in the Western United States. Journal of Geophysical Research Atmospheres. 124(10). 5296–5313. 61 indexed citations
20.
Cristea, Nicoleta, et al.. (2018). Importance of model structure and irradiance input to modeling snow surface temperature and snowmelt in complex terrain. AGU Fall Meeting Abstracts. 2018. 1 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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