Minxue He

1.8k total citations
40 papers, 1.3k citations indexed

About

Minxue He is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Minxue He has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Water Science and Technology, 25 papers in Global and Planetary Change and 16 papers in Atmospheric Science. Recurrent topics in Minxue He's work include Hydrology and Watershed Management Studies (27 papers), Climate variability and models (15 papers) and Hydrological Forecasting Using AI (13 papers). Minxue He is often cited by papers focused on Hydrology and Watershed Management Studies (27 papers), Climate variability and models (15 papers) and Hydrological Forecasting Using AI (13 papers). Minxue He collaborates with scholars based in United States, Netherlands and China. Minxue He's co-authors include T. S. Hogue, Dong‐Jun Seo, James Dean Brown, Haksu Lee, Limin Wu, Kristie J. Franz, Satish Kumar Regonda, Dong-Jun Seo, S. A. Margulis and P. J. Restrepo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Minxue He

39 papers receiving 1.2k citations

Peers

Minxue He
Pablo A. Mendoza Chile
Tirthankar Roy United States
Satish Kumar Regonda India
Marzena Osuch Poland
Bruce Davison Canada
Xianwu Xue United States
Chuanhao Wu China
О. Н. Насонова Russia
Bibi S. Naz United States
Humberto Vergara United States
Pablo A. Mendoza Chile
Minxue He
Citations per year, relative to Minxue He Minxue He (= 1×) peers Pablo A. Mendoza

Countries citing papers authored by Minxue He

Since Specialization
Citations

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

Fields of papers citing papers by Minxue He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minxue He

This figure shows the co-authorship network connecting the top 25 collaborators of Minxue He. A scholar is included among the top collaborators of Minxue He 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 Minxue He. Minxue He 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.
He, Minxue, et al.. (2025). Hydrogel materials in agriculture: A review. Journal of environmental chemical engineering. 13(3). 116385–116385. 5 indexed citations
2.
3.
Ahmadi, Arman, André Daccache, Minxue He, et al.. (2025). Enhancing the accuracy and generalizability of reference evapotranspiration forecasting in California using deep global learning. Journal of Hydrology Regional Studies. 59. 102339–102339. 3 indexed citations
4.
Ye, Jinwen, et al.. (2025). Enhancing room and high temperature performance on WC-Co cemented carbide via nitrogen modification. International Journal of Refractory Metals and Hard Materials. 128. 107057–107057. 4 indexed citations
5.
He, Minxue, et al.. (2025). Protocols for Water and Environmental Modeling Using Machine Learning in California. Hydrology. 12(3). 59–59. 1 indexed citations
6.
He, Minxue, Seong Jin Noh, & Haksu Lee. (2024). Editorial to the Special Issue “Recent Advances in Hydrological Modeling”. Hydrology. 11(7). 108–108.
7.
He, Minxue, Zhaojun Bai, Francis I. Chung, et al.. (2023). Physics-Informed Neural Networks-Based Salinity Modeling in the Sacramento–San Joaquin Delta of California. Water. 15(13). 2320–2320. 4 indexed citations
8.
He, Minxue, Yu Zhou, Zhaojun Bai, et al.. (2023). Salinity Modeling Using Deep Learning with Data Augmentation and Transfer Learning. Water. 15(13). 2482–2482. 9 indexed citations
9.
He, Minxue, et al.. (2023). Modeling ion constituents in the Sacramento-San Joaquin Delta using multiple machine learning approaches. Journal of Hydroinformatics. 25(6). 2541–2560. 2 indexed citations
10.
He, Minxue, et al.. (2022). Multi-Location Emulation of a Process-Based Salinity Model Using Machine Learning. Water. 14(13). 2030–2030. 7 indexed citations
11.
12.
He, Minxue, et al.. (2020). Technical note: Precipitation-phase partitioning at landscape scales to regional scales. Hydrology and earth system sciences. 24(11). 5317–5328. 33 indexed citations
13.
Ray, Patrick, et al.. (2020). Vulnerability and risk: climate change and water supply from California’s Central Valley water system. Climatic Change. 161(1). 177–199. 38 indexed citations
14.
15.
He, Minxue, et al.. (2016). Verification of Ensemble Water Supply Forecasts for Sierra Nevada Watersheds. Hydrology. 3(4). 35–35. 15 indexed citations
16.
Franz, Kristie J., et al.. (2014). Assessment of SWE data assimilation for ensemble streamflow predictions. Journal of Hydrology. 519. 2737–2746. 27 indexed citations
17.
Weerts, Albrecht, Martyn Clark, Harrie‐Jan Hendricks Franssen, et al.. (2012). Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities. Hydrology and earth system sciences. 16(10). 3863–3887. 358 indexed citations
18.
He, Minxue, T. S. Hogue, S. A. Margulis, & Kristie J. Franz. (2012). An integrated uncertainty and ensemble-based data assimilation approach for improved operational streamflow predictions. Hydrology and earth system sciences. 16(3). 815–831. 27 indexed citations
19.
He, Minxue, T. S. Hogue, Kristie J. Franz, S. A. Margulis, & Jasper A. Vrugt. (2011). Corruption of parameter behavior and regionalization by model and forcing data errors: A Bayesian example using the SNOW17 model. Water Resources Research. 47(7). 25 indexed citations
20.
He, Minxue & T. S. Hogue. (2011). Integrating hydrologic modeling and land use projections for evaluation of hydrologic response and regional water supply impacts in semi-arid environments. Environmental Earth Sciences. 65(6). 1671–1685. 40 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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