Yuna Mao

711 total citations
31 papers, 478 citations indexed

About

Yuna Mao is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Yuna Mao has authored 31 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 14 papers in Water Science and Technology and 11 papers in Atmospheric Science. Recurrent topics in Yuna Mao's work include Climate variability and models (16 papers), Hydrology and Watershed Management Studies (13 papers) and Meteorological Phenomena and Simulations (6 papers). Yuna Mao is often cited by papers focused on Climate variability and models (16 papers), Hydrology and Watershed Management Studies (13 papers) and Meteorological Phenomena and Simulations (6 papers). Yuna Mao collaborates with scholars based in China and United States. Yuna Mao's co-authors include Kaicun Wang, Aizhong Ye, Guocan Wu, Min Zhong, Yulong Zhong, Bing Ji, Shaojing Jiang, Xiaomang Liu, Changming Liu and Jing Xu and has published in prestigious journals such as Scientific Reports, Journal of Climate and Journal of Hydrology.

In The Last Decade

Yuna Mao

28 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuna Mao China	12	322	244	123	92	61	31	478
Youen Grusson France	11	241 0.7×	331 1.4×	91 0.7×	86 0.9×	39 0.6×	17	450
Qian Cao United States	12	261 0.8×	193 0.8×	158 1.3×	69 0.8×	64 1.0×	19	468
Akash Koppa Belgium	14	445 1.4×	284 1.2×	173 1.4×	119 1.3×	71 1.2×	27	636
Suli Pan China	14	331 1.0×	289 1.2×	130 1.1×	91 1.0×	82 1.3×	29	510
Wanshu Nie United States	11	245 0.8×	150 0.6×	86 0.7×	164 1.8×	82 1.3×	23	431
Dharmaveer Singh India	14	328 1.0×	255 1.0×	194 1.6×	178 1.9×	55 0.9×	43	543
Yanzhong Li China	13	530 1.6×	359 1.5×	221 1.8×	90 1.0×	87 1.4×	34	706
Shuangxiao Luo China	14	273 0.8×	266 1.1×	141 1.1×	108 1.2×	107 1.8×	18	504
Wenjun Yu China	13	355 1.1×	304 1.2×	255 2.1×	154 1.7×	28 0.5×	33	621
Hamza Ouatiki Morocco	12	281 0.9×	159 0.7×	128 1.0×	135 1.5×	39 0.6×	19	447

Countries citing papers authored by Yuna Mao

Since Specialization

Citations

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

Fields of papers citing papers by Yuna Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuna Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuna Mao. A scholar is included among the top collaborators of Yuna Mao 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 Yuna Mao. Yuna Mao 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:

20 of 20 papers shown

Wang, Xuejie, Kaicun Wang, Yuna Mao, & Guocan Wu. (2025). Day‐to‐Day Temperature Variability in Meteorological Observations and Reanalysis Data Over China. Earth and Space Science. 12(11).

Zhong, Yulong, Ning Ma, Dongdong Kong, et al.. (2025). Changes and drivers of long-term land evapotranspiration in the Yangtze River Basin: A water balance perspective. Journal of Hydrology. 653. 132763–132763. 2 indexed citations

Shen, Hui, Jianduo Li, Guocan Wu, Aizhong Ye, & Yuna Mao. (2025). Can CMIP6 Models Accurately Reproduce Terrestrial Evapotranspiration Across China?. International Journal of Climatology. 45(6).

Zhang, Chuan, et al.. (2025). Short-term emissions effect of rainfall erosion on soil CO2 in red soil sloped farmland in southern China. Soil and Tillage Research. 252. 106627–106627. 1 indexed citations

Mao, Yuna, et al.. (2024). Event-based evaluation of urbanization impact on precipitation during the 1978–2021 warm season over eastern China. Urban Climate. 56. 102048–102048. 7 indexed citations

Mao, Yuna. (2024). Advanced Diesel Engine Emission Control: Current Technologies and Future Alternatives. Highlights in Science Engineering and Technology. 119. 23–29. 1 indexed citations

Lu, Jiayi, Kaicun Wang, Guocan Wu, Aizhong Ye, & Yuna Mao. (2024). Inter-product biases in extreme precipitation duration and frequency across China. Environmental Research Letters. 19(11). 114075–114075. 1 indexed citations

Mao, Yuna, et al.. (2024). Terrestrial Evapotranspiration Over China From 1982 to 2020: Consistency of Multiple Data Sets and Impact of Input Data. Journal of Geophysical Research Atmospheres. 129(3). 5 indexed citations

Lu, Jiayi, Kaicun Wang, Guocan Wu, & Yuna Mao. (2024). Evaluation of Multisource Datasets in Characterizing Spatiotemporal Characteristics of Extreme Precipitation from 2001 to 2019 in China. Journal of Hydrometeorology. 25(3). 515–539. 7 indexed citations

10.

Jiang, Shaojing, et al.. (2024). Urbanization reshapes extreme precipitation metrics in typical urban agglomerations of Eastern China. Atmospheric Research. 300. 107253–107253. 7 indexed citations

11.

Mao, Yuna, et al.. (2024). Evaluation of Two Satellite Surface Solar Radiation Products in the Urban Region in Beijing, China. Remote Sensing. 16(11). 2030–2030. 2 indexed citations

12.

Wu, Guocan, et al.. (2023). Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020. Remote Sensing. 15(18). 4522–4522. 9 indexed citations

13.

Mao, Yuna, et al.. (2023). Significant Reduction in Precipitation Seasonality and the Association with Extreme Precipitation in the Hai River Basin of China from 1960 to 2018. Atmosphere. 14(10). 1552–1552. 1 indexed citations

14.

Zhou, Tian, L. Ruby Leung, Guoyong Leng, et al.. (2020). Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM. Journal of Advances in Modeling Earth Systems. 12(10). 26 indexed citations

15.

Mao, Yuna & Kaicun Wang. (2017). Comparison of evapotranspiration estimates based on the surface water balance, modified Penman‐Monteith model, and reanalysis data sets for continental China. Journal of Geophysical Research Atmospheres. 122(6). 3228–3244. 50 indexed citations

16.

Mao, Yuna, Kaicun Wang, Xiaomang Liu, & Changming Liu. (2016). Water storage in reservoirs built from 1997 to 2014 significantly altered the calculated evapotranspiration trends over China. Journal of Geophysical Research Atmospheres. 121(17). 43 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.

Zhang, Haicheng, Shuguang Liu, Wenping Yuan, et al.. (2014). Inclusion of soil carbon lateral movement alters terrestrial carbon budget in China. Scientific Reports. 4(1). 7247–7247. 44 indexed citations

19.

Ma, Feng, Aizhong Ye, Wei Gong, et al.. (2014). An estimate of human and natural contributions to flood changes of the Huai River. Global and Planetary Change. 119. 39–50. 29 indexed citations

20.

Ye, Aizhong, Qingyun Duan, Chesheng Zhan, Zhaofei Liu, & Yuna Mao. (2012). Improving kinematic wave routing scheme in Community Land Model. Hydrology research. 44(5). 886–903. 21 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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