Ming Han

766 total citations
27 papers, 564 citations indexed

About

Ming Han is a scholar working on Global and Planetary Change, Water Science and Technology and Soil Science. According to data from OpenAlex, Ming Han has authored 27 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 7 papers in Soil Science. Recurrent topics in Ming Han's work include Hydrology and Watershed Management Studies (10 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Irrigation Practices and Water Management (7 papers). Ming Han is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Irrigation Practices and Water Management (7 papers). Ming Han collaborates with scholars based in China, United States and Canada. Ming Han's co-authors include Chengyi Zhao, Huihui Zhang, Kendall C. DeJonge, Louise H. Comas, Thomas J. Trout, Jiřı́ Šimůnek, Sean M. Gleason, Liwang Ma, Fengzhi Shi and Yu Sheng and has published in prestigious journals such as Nanotechnology, Hydrological Processes and Hydrology and earth system sciences.

In The Last Decade

Ming Han

25 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Han China 13 264 187 185 168 145 27 564
Martin Wegehenkel Germany 15 326 1.2× 181 1.0× 177 1.0× 231 1.4× 167 1.2× 34 682
Matthias Langensiepen Germany 16 328 1.2× 236 1.3× 211 1.1× 71 0.4× 133 0.9× 30 682
Frederico Terra de Almeida Brazil 12 293 1.1× 142 0.8× 236 1.3× 238 1.4× 183 1.3× 59 698
Ivo Zution Gonçalves Brazil 13 203 0.8× 182 1.0× 183 1.0× 94 0.6× 90 0.6× 35 487
Bahareh Kamali Germany 17 331 1.3× 152 0.8× 149 0.8× 236 1.4× 140 1.0× 37 698
Cornélio Alberto Zolin Brazil 14 381 1.4× 107 0.6× 165 0.9× 208 1.2× 129 0.9× 49 744
Hanaa Darouich Portugal 13 200 0.8× 128 0.7× 204 1.1× 116 0.7× 131 0.9× 25 494
А. Ирмак United States 17 593 2.2× 326 1.7× 261 1.4× 229 1.4× 156 1.1× 29 926
Majid Vazifedoust Iran 13 370 1.4× 116 0.6× 147 0.8× 191 1.1× 206 1.4× 34 681
Ayse Irmak United States 11 738 2.8× 172 0.9× 198 1.1× 309 1.8× 218 1.5× 20 887

Countries citing papers authored by Ming Han

Since Specialization
Citations

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

Fields of papers citing papers by Ming Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Han. A scholar is included among the top collaborators of Ming Han 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 Ming Han. Ming Han 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.
Tolson, Bryan A., et al.. (2024). Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach. Hydrology and earth system sciences. 28(9). 2107–2122. 13 indexed citations
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Han, Ming, et al.. (2024). Toolkits for virtual reality research in psychology. Advances in Psychological Science. 32(11). 1800–1800.
4.
Arsenault, Richard, David Huard, Jean‐Luc Martel, et al.. (2023). The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America. Environmental Modelling & Software. 168. 105808–105808. 7 indexed citations
5.
Han, Ming, Yi Wang, Gang Xiang, et al.. (2023). Construction of ratiometric fluorescence determination of ethylene thiourea in foods based on the nanocomposite combining with sulfur quantum dots and gold clusters. Microchemical Journal. 189. 108549–108549. 8 indexed citations
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Han, Ming, Hongren Shen, Bryan A. Tolson, et al.. (2022). Basinmaker 3.0: A GIS Toolbox for Distributed Watershed Delineation of Complex Lake-River Routing Networks. SSRN Electronic Journal. 2 indexed citations
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9.
Han, Ming, Juliane Mai, Bryan A. Tolson, et al.. (2020). Subwatershed-based lake and river routing products for hydrologic and land surface models applied over Canada. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 45(3). 237–251. 9 indexed citations
10.
Gao, Fei, Gary Feng, Ming Han, et al.. (2019). Assessment of Surface Water Resources in the Big Sunflower River Watershed Using Coupled SWAT–MODFLOW Model. Water. 11(3). 528–528. 43 indexed citations
11.
Zhang, Huihui, Liyuan Zhang, Yaxiao Niu, Ming Han, & Kevin Yemoto. (2018). Comparison of water stress coefficient using three alternative canopy temperature-based indices. 1(1). 28–34. 3 indexed citations
12.
Han, Ming, Huihui Zhang, Kendall C. DeJonge, Louise H. Comas, & Sean M. Gleason. (2018). Comparison of three crop water stress index models with sap flow measurements in maize. Agricultural Water Management. 203. 366–375. 73 indexed citations
13.
Zhang, Huihui, Ming Han, José L. Chávez, & Yubin Lan. (2017). Improvement in estimation of soil water deficit by integrating airborne imagery data into a soil water balance model. International journal of agricultural and biological engineering. 10(3). 37–46. 16 indexed citations
14.
Han, Ming, et al.. (2017). Application Trends in Virtual Reality. 32(1). 93–101. 6 indexed citations
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Han, Ming, et al.. (2015). Bayesian inference of the groundwater depth threshold in a vegetation dynamic model: A case study, lower reach, Tarim River. Quaternary International. 380-381. 207–215. 9 indexed citations
18.
Zhao, Chengyi, et al.. (2015). Temporal Patterns of Shrub Vegetation and Variation with Precipitation in Gurbantunggut Desert, Central Asia. Advances in Meteorology. 2015. 1–11. 15 indexed citations
19.
Shi, Fengzhi, et al.. (2011). Conjunctive use of surface and groundwater in central Asia area: a case study of the Tailan River Basin. Stochastic Environmental Research and Risk Assessment. 26(7). 961–970. 33 indexed citations
20.
Han, Ming, et al.. (1995). Sea-Level Rise and the North China Coastal Plain: A Preliminary Analysis. 14. 132–150. 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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