Mingxi Shen

498 total citations
10 papers, 385 citations indexed

About

Mingxi Shen is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Mingxi Shen has authored 10 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 6 papers in Water Science and Technology and 4 papers in Atmospheric Science. Recurrent topics in Mingxi Shen's work include Climate variability and models (8 papers), Hydrology and Watershed Management Studies (6 papers) and Flood Risk Assessment and Management (4 papers). Mingxi Shen is often cited by papers focused on Climate variability and models (8 papers), Hydrology and Watershed Management Studies (6 papers) and Flood Risk Assessment and Management (4 papers). Mingxi Shen collaborates with scholars based in China, Norway and Hong Kong. Mingxi Shen's co-authors include Hua Chen, Chong‐Yu Xu, Jie Chen, Lihua Xiong, Jie Chen, Yukun Hou, XC Zhang, Qiang Guo, Shenglian Guo and Hua Chen and has published in prestigious journals such as Journal of Hydrology, Climate Dynamics and Hydrology and earth system sciences.

In The Last Decade

Mingxi Shen

9 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingxi Shen China	7	301	232	151	61	26	10	385
David Lun Austria	8	379 1.3×	268 1.2×	85 0.6×	51 0.8×	13 0.5×	12	455
Mesgana Seyoum Gizaw Canada	8	243 0.8×	150 0.6×	101 0.7×	71 1.2×	22 0.8×	9	342
B. Asadieh United States	5	335 1.1×	211 0.9×	157 1.0×	37 0.6×	65 2.5×	9	455
Vinícius B. P. Chagas Brazil	7	297 1.0×	253 1.1×	65 0.4×	69 1.1×	19 0.7×	9	372
Kirsti Hakala Australia	9	295 1.0×	260 1.1×	128 0.8×	70 1.1×	21 0.8×	18	374
Emma Aalbers Netherlands	7	347 1.2×	145 0.6×	163 1.1×	41 0.7×	10 0.4×	13	398
Lishu Lian China	8	314 1.0×	123 0.5×	199 1.3×	60 1.0×	11 0.4×	14	386
M. D. Kustu United States	3	258 0.9×	179 0.8×	116 0.8×	49 0.8×	34 1.3×	3	361
Josef Schmid Germany	5	341 1.1×	301 1.3×	129 0.9×	44 0.7×	31 1.2×	8	419
Shijie Li China	10	285 0.9×	150 0.6×	91 0.6×	50 0.8×	13 0.5×	17	347

Countries citing papers authored by Mingxi Shen

Since Specialization

Citations

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

Fields of papers citing papers by Mingxi Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxi Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Shen, Mingxi & Ting Fong May Chui. (2023). Quantifying the relative contributions of different flood generating mechanisms to floods across CONUS. Journal of Hydrology. 626. 130255–130255. 6 indexed citations

Shen, Mingxi, et al.. (2022). TRMM-Based Analysis of Seasonal Convective and Stratiform Rainfall Cycles in Iran. Pure and Applied Geophysics. 179(8). 3005–3033.

Shen, Mingxi, et al.. (2021). Contrasting scaling relationships of extreme precipitation and streamflow to temperature across the United States. Environmental Research Communications. 3(12). 125008–125008. 4 indexed citations

Shen, Mingxi & Ting Fong May Chui. (2021). Characterizing the responses of local floods to changing climate in three different hydroclimatic regions across the United States. Advances in Water Resources. 150. 103885–103885. 6 indexed citations

Zhang, XC, et al.. (2021). Evaluation of Statistical Downscaling Methods for Simulating Daily Precipitation Distribution, Frequency, and Temporal Sequence. Transactions of the ASABE. 64(3). 771–784. 6 indexed citations

Chen, Qihui, Hua Chen, Jun Zhang, et al.. (2020). Impacts of climate change and LULC change on runoff in the Jinsha River Basin. Journal of Geographical Sciences. 30(1). 85–102. 67 indexed citations

Li, Lu, Mingxi Shen, Yukun Hou, et al.. (2019). Twenty-first-century glacio-hydrological changes in the Himalayan headwater Beas River basin. Hydrology and earth system sciences. 23(3). 1483–1503. 38 indexed citations

Guo, Qiang, Jie Chen, XC Zhang, et al.. (2019). A new two-stage multivariate quantile mapping method for bias correcting climate model outputs. Climate Dynamics. 53(5-6). 3603–3623. 71 indexed citations

Chen, Jie, et al.. (2018). Timing of human-induced climate change emergence from internal climate variability for hydrological impact studies. Hydrology research. 49(2). 421–437. 40 indexed citations

10.

Shen, Mingxi, et al.. (2017). Estimating uncertainty and its temporal variation related to global climate models in quantifying climate change impacts on hydrology. Journal of Hydrology. 556. 10–24. 147 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