Yuning Shi

1.5k total citations
46 papers, 952 citations indexed

About

Yuning Shi is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yuning Shi has authored 46 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 16 papers in Global and Planetary Change and 15 papers in Environmental Engineering. Recurrent topics in Yuning Shi's work include Hydrology and Watershed Management Studies (20 papers), Soil and Water Nutrient Dynamics (11 papers) and Groundwater flow and contamination studies (10 papers). Yuning Shi is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Soil and Water Nutrient Dynamics (11 papers) and Groundwater flow and contamination studies (10 papers). Yuning Shi collaborates with scholars based in United States, China and France. Yuning Shi's co-authors include Christopher Duffy, K. J. Davis, Xuan Yu, Li Li, Chen Bao, Susan L. Brantley, Fuqing Zhang, Pamela Sullivan, David M. Eissenstat and Roman A. DiBiase and has published in prestigious journals such as Nature Communications, Water Research and Water Resources Research.

In The Last Decade

Yuning Shi

43 papers receiving 936 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuning Shi United States 18 491 379 318 208 197 46 952
Michael Rinderer Germany 16 620 1.3× 290 0.8× 358 1.1× 114 0.5× 186 0.9× 28 862
Mark B. Green United States 17 481 1.0× 220 0.6× 297 0.9× 413 2.0× 177 0.9× 56 1.1k
Michael L. Anderson United States 15 726 1.5× 229 0.6× 530 1.7× 186 0.9× 224 1.1× 31 1.1k
Sumit Sen India 17 454 0.9× 241 0.6× 418 1.3× 107 0.5× 184 0.9× 64 904
Jörg Dietrich Germany 20 520 1.1× 272 0.7× 403 1.3× 72 0.3× 139 0.7× 41 824
Benjamin Fischer Sweden 15 274 0.6× 147 0.4× 198 0.6× 84 0.4× 174 0.9× 27 736
Narayan Kumar Shrestha Canada 20 965 2.0× 421 1.1× 590 1.9× 252 1.2× 261 1.3× 52 1.3k
R. A. Payn United States 16 784 1.6× 371 1.0× 209 0.7× 497 2.4× 137 0.7× 34 1.1k

Countries citing papers authored by Yuning Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuning Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuning Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuning Shi. A scholar is included among the top collaborators of Yuning Shi 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 Yuning Shi. Yuning Shi 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.
Shi, Yuning, Felipe Montes, Francesco Di Gioia, et al.. (2025). Adapting agriculture to climate catastrophes: the nuclear winter case. Environmental Research Letters. 20(6). 64006–64006.
2.
Shi, Yuning, et al.. (2025). Maladaptation in cereal crop landraces following a soot-producing climate catastrophe. Nature Communications. 16(1). 4289–4289. 1 indexed citations
3.
Li, Chuang, Yuning Shi, Yang Han, et al.. (2024). Heat transfer characteristics of water jet impingement on high-temperature steel plate by angular nozzle. International Communications in Heat and Mass Transfer. 151. 107243–107243. 4 indexed citations
4.
Sadayappan, Kayalvizhi, Wei Zhi, Yuning Shi, et al.. (2024). BioRT‐HBV 1.0: A Biogeochemical Reactive Transport Model at the Watershed Scale. Journal of Advances in Modeling Earth Systems. 16(12). e2024MS004217–e2024MS004217. 7 indexed citations
5.
Felzer, B. S., et al.. (2024). Future transition from forests to shrublands and grasslands in the western United States is expected to reduce carbon storage. Communications Earth & Environment. 5(1). 8 indexed citations
6.
Kemanian, Armen R., Yuning Shi, Charles M. White, et al.. (2024). The Cycles agroecosystem model: Fundamentals, testing, and applications. Computers and Electronics in Agriculture. 227. 109510–109510. 3 indexed citations
7.
Shi, Yuning, Felipe Montes, & Armen R. Kemanian. (2023). Cycles‐L: A Coupled, 3‐D, Land Surface, Hydrologic, and Agroecosystem Landscape Model. Water Resources Research. 59(8). 4 indexed citations
8.
Cobourn, Kelly M., et al.. (2023). Quantifying co‐benefits of water quality policies: An integrated assessment model of land and nitrogen management. American Journal of Agricultural Economics. 106(2). 547–572. 3 indexed citations
9.
Wang, Jian, Wen Yin, Hongfeng Bian, et al.. (2023). Assessing hydrological connectivity for natural-artificial catchment with a new framework integrating graph theory and network analysis. Journal of Environmental Management. 346. 119055–119055. 10 indexed citations
10.
Wang, Jian, Junjie Lin, Yuning Shi, et al.. (2022). Hysteresis analysis reveals dissolved carbon concentration – discharge relationships during and between storm events. Water Research. 226. 119220–119220. 24 indexed citations
11.
Zhi, Wei, Yuning Shi, Hang Wen, et al.. (2022). BioRT-Flux-PIHM v1.0: a biogeochemical reactive transport model at the watershed scale. Geoscientific model development. 15(1). 315–333. 11 indexed citations
12.
Novick, Kimberly A., Darren L. Ficklin, Dennis Baldocchi, et al.. (2022). Confronting the water potential information gap. Nature Geoscience. 15(3). 158–164. 95 indexed citations
13.
Wlostowski, A. N., N. P. Molotch, Suzanne P. Anderson, et al.. (2020). Signatures of Hydrologic Function Across the Critical Zone Observatory Network. Water Resources Research. 57(3). 45 indexed citations
14.
15.
Shi, Yuning, et al.. (2019). Streamflow Generation From Catchments of Contrasting Lithologies: The Role of Soil Properties, Topography, and Catchment Size. Water Resources Research. 55(11). 9234–9257. 40 indexed citations
16.
Sullivan, Pamela, Yuning Shi, Xin Gu, et al.. (2019). Exploring the Effect of Aspect to Inform Future Earthcasts of Climate‐Driven Changes in Weathering of Shale. Journal of Geophysical Research Earth Surface. 124(4). 974–993. 29 indexed citations
17.
Crow, Wade T., Mahta Moghaddam, Alireza Tabatabaeenejad, et al.. (2018). Spatial and Temporal Variability of Root-Zone Soil Moisture Acquired From Hydrologic Modeling and AirMOSS P-Band Radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(12). 4578–4590. 11 indexed citations
18.
Shi, Yuning, David M. Eissenstat, Yun He, & K. J. Davis. (2017). Using a spatially-distributed hydrologic biogeochemistry model with nitrogen transport to study the spatial variation of carbon stocks and fluxes in a Critical Zone Observatory. AGUFM. 2017. 1 indexed citations
19.
Brantley, Susan L., Roman A. DiBiase, T. A. Russo, et al.. (2016). Designing a suite of measurements to understand the critical zone. Earth Surface Dynamics. 4(1). 211–235. 49 indexed citations
20.
Shi, Yuning, David M. Eissenstat, K. J. Davis, & Yun He. (2015). Using a spatially-distributed hydrologic biogeochemistry model to study the spatial variation of carbon processes in a Critical Zone Observatory. AGU Fall Meeting Abstracts. 2015.

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 Michael Rinderer Breakdown of academic impact, for papers by Mark B. Green Breakdown of academic impact, for papers by Michael L. Anderson Breakdown of academic impact, for papers by Sumit Sen Breakdown of academic impact, for papers by Jörg Dietrich Breakdown of academic impact, for papers by Benjamin Fischer Breakdown of academic impact, for papers by Narayan Kumar Shrestha Breakdown of academic impact, for papers by R. A. Payn
Rankless by CCL
2026