Zhenhua Di

3.5k total citations · 1 hit paper
64 papers, 2.6k citations indexed

About

Zhenhua Di is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Zhenhua Di has authored 64 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 29 papers in Atmospheric Science and 20 papers in Water Science and Technology. Recurrent topics in Zhenhua Di's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (24 papers) and Hydrology and Watershed Management Studies (20 papers). Zhenhua Di is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (24 papers) and Hydrology and Watershed Management Studies (20 papers). Zhenhua Di collaborates with scholars based in China, United States and Malaysia. Zhenhua Di's co-authors include Qingyun Duan, Wei Gong, Chiyuan Miao, Aizhong Ye, Qiaohong Sun, Dongxian Kong, Yanjun Gan, Charles Tong, Chen Wang and Yunwei Sun and has published in prestigious journals such as Remote Sensing of Environment, Journal of Cleaner Production and Water Resources Research.

In The Last Decade

Zhenhua Di

59 papers receiving 2.5k citations

Hit Papers

A comprehensive evaluation of various sensitivity analysi... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model
    2013 270 citations Yanjun Gan, Qingyun Duan et al. Environmental Modelling & Software profile →

Peers

Zhenhua Di
Chesheng Zhan China
Aizhong Ye China
Wei Gong China
Jongho Kim South Korea
Gianfausto Salvadori Italy
Lucy Marshall Australia
Benjamin Renard France
Shie‐Yui Liong Singapore
Hyun‐Han Kwon South Korea
Emmanouil N. Anagnostou United States
Chesheng Zhan China
Zhenhua Di
Citations per year, relative to Zhenhua Di Zhenhua Di (= 1×) peers Chesheng Zhan

Countries citing papers authored by Zhenhua Di

Since Specialization
Citations

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

Fields of papers citing papers by Zhenhua Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenhua Di

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenhua Di. A scholar is included among the top collaborators of Zhenhua Di 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 Zhenhua Di. Zhenhua Di 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
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Di, Zhenhua, et al.. (2024). Evaluation and simulation of terrestrial latent heat flux globally: A collaborative effort utilizing CMIP6 climate models and eddy covariance observations. Agricultural and Forest Meteorology. 362. 110371–110371. 4 indexed citations
4.
Mei, Li, et al.. (2024). Variations in water conservation function and attributions in the Three-River Source Region of the Qinghai–Tibet Plateau based on the SWAT model. Agricultural and Forest Meteorology. 349. 109956–109956. 13 indexed citations
5.
Wang, Zijian & Zhenhua Di. (2024). Assessing of the county-level synergy between CO2 emissions and PM2.5 pollution in Shandong Province, China. International Journal of Environmental Science and Technology. 22(5). 3347–3358.
6.
Sun, Huiying, et al.. (2023). Spatio-temporal variation and dynamic risk assessment of drought and flood disaster (DFD) in China. International Journal of Disaster Risk Reduction. 100. 104140–104140. 14 indexed citations
7.
Wang, Xueyan, Zhenhua Di, & Jianguo Liu. (2023). Evaluating the Abilities of Satellite-Derived Burned Area Products to Detect Forest Burning in China. Remote Sensing. 15(13). 3260–3260. 3 indexed citations
8.
Di, Zhenhua, et al.. (2023). Knee Point‐Based Multiobjective Optimization for the Numerical Weather Prediction Model in the Greater Beijing Area. Geophysical Research Letters. 50(23). 1 indexed citations
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Zhang, Chong, Qingyun Duan, Pat J.‐F. Yeh, et al.. (2020). The Effectiveness of the South‐to‐North Water Diversion Middle Route Project on Water Delivery and Groundwater Recovery in North China Plain. Water Resources Research. 56(10). 99 indexed citations
11.
Miao, Chiyuan, et al.. (2019). Sensitivity analysis-based automatic parameter calibration of the variable infiltration capacity (VIC) model for streamflow simulations over China. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
12.
Di, Zhenhua, et al.. (2019). Assessment of Parametric Sensitivity Analysis Methods Based on A Quasi Two-Dimensional Groundwater Model. Journal of Environmental Informatics. 8 indexed citations
13.
Gan, Yanjun, Qingyun Duan, Aizhong Ye, et al.. (2018). A systematic assessment and reduction of parametric uncertainties for a distributed hydrological model. Journal of Hydrology. 564. 697–711. 29 indexed citations
14.
Gong, Wei, Qingyun Duan, Jianduo Li, et al.. (2015). Multiobjective adaptive surrogate modeling‐based optimization for parameter estimation of large, complex geophysical models. Water Resources Research. 52(3). 1984–2008. 77 indexed citations
15.
Wang, Chen, Qingyun Duan, Charles Tong, Zhenhua Di, & Wei Gong. (2015). A GUI platform for uncertainty quantification of complex dynamical models. Environmental Modelling & Software. 76. 1–12. 49 indexed citations
16.
Di, Zhenhua, Qingyun Duan, Wei Gong, et al.. (2014). Assessing WRF model parameter sensitivity: A case study with 5 day summer precipitation forecasting in the Greater Beijing Area. Geophysical Research Letters. 42(2). 579–587. 65 indexed citations
17.
Mao, Yuna, Aizhong Ye, Jun Xu, et al.. (2014). An advanced distributed automated extraction of drainage network model on high-resolution DEM. 4 indexed citations
18.
Sun, Qiaohong, Dongxian Kong, Chiyuan Miao, et al.. (2014). Variations in global temperature and precipitation for the period of 1948 to 2010. Environmental Monitoring and Assessment. 186(9). 5663–5679. 28 indexed citations
19.
Gan, Yanjun, Qingyun Duan, Wei Gong, et al.. (2013). A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model. Environmental Modelling & Software. 51. 269–285. 270 indexed citations breakdown →
20.
Li, Jianduo, Qingyun Duan, Wei Gong, et al.. (2013). Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis. Hydrology and earth system sciences. 17(8). 3279–3293. 68 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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