Tingting Ning

894 total citations
21 papers, 699 citations indexed

About

Tingting Ning is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Tingting Ning has authored 21 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Water Science and Technology, 15 papers in Global and Planetary Change and 10 papers in Atmospheric Science. Recurrent topics in Tingting Ning's work include Hydrology and Watershed Management Studies (18 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Climate variability and models (10 papers). Tingting Ning is often cited by papers focused on Hydrology and Watershed Management Studies (18 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Climate variability and models (10 papers). Tingting Ning collaborates with scholars based in China, Canada and United Kingdom. Tingting Ning's co-authors include Zhi Li, Wenzhao Liu, Wenzhao Liu, Qi Feng, Zongxing Li, Hong Shen, Xiaoyang Han, Sha Zhou, Baijuan Zhang and Juan Gui and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Tingting Ning

21 papers receiving 685 citations

Peers

Tingting Ning
Hadush Meresa Ireland
Sofia D. Nerantzaki Canada
Maria Staudinger Switzerland
Dejuan Jiang China
Victor Ntegeka Belgium
A. H. Matonse United States
Meibing Liu China
Xiaolin Yan China
Sirak Tekleab Ethiopia
Margarita Saft Australia
Hadush Meresa Ireland
Tingting Ning
Citations per year, relative to Tingting Ning Tingting Ning (= 1×) peers Hadush Meresa

Countries citing papers authored by Tingting Ning

Since Specialization
Citations

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

Fields of papers citing papers by Tingting Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tingting Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Ning. A scholar is included among the top collaborators of Tingting Ning 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 Tingting Ning. Tingting Ning 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.
Li, Shujian, et al.. (2024). Indirect effects of revegetation dominate groundwater recharge change at the basin scale. Journal of Cleaner Production. 456. 142396–142396. 4 indexed citations
2.
Yang, Linshan, Qi Feng, Tingting Ning, et al.. (2023). Attributing the streamflow variation by incorporating glacier mass balance and frozen ground into the Budyko framework in alpine rivers. Journal of Hydrology. 628. 130438–130438. 7 indexed citations
3.
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5.
Ning, Tingting, Qin Wang, & Fan Yang. (2022). Attribution of runoff variance in the alpine basin of Northwest China at multiple timescales. Hydrological Sciences Journal. 67(15). 2262–2270. 3 indexed citations
6.
Ning, Tingting, Zhi Li, Qi Feng, Zongxing Li, & Yanyan Qin. (2021). Attribution of growing season evapotranspiration variability considering snowmelt and vegetation changes in the arid alpine basins. Hydrology and earth system sciences. 25(6). 3455–3469. 18 indexed citations
7.
Ning, Tingting, Qi Feng, & Yanyan Qin. (2021). Recent variations in the seasonality difference between precipitation and potential evapotranspiration in China. International Journal of Climatology. 42(7). 3616–3632. 1 indexed citations
8.
Ning, Tingting, et al.. (2020). Effects of forest cover change on catchment evapotranspiration variation in China. Hydrological Processes. 34(10). 2219–2228. 32 indexed citations
9.
Gui, Juan, Zongxing Li, Qi Feng, et al.. (2020). Environmental effect and spatiotemporal pattern of stable isotopes in precipitation on the transition zone between the Tibetan Plateau and arid region. The Science of The Total Environment. 749. 141559–141559. 41 indexed citations
10.
Ning, Tingting, Wenzhao Liu, Zhi Li, & Qi Feng. (2020). Modelling and attributing evapotranspiration changes on China’s Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality. Stochastic Environmental Research and Risk Assessment. 34(8). 1217–1230. 19 indexed citations
11.
Ning, Tingting, Qi Feng, Zongxing Li, & Zhi Li. (2020). Recent changes in climate seasonality in the inland river basin of Northwestern China. Journal of Hydrology. 590. 125212–125212. 8 indexed citations
12.
Ning, Tingting, et al.. (2019). Interaction of vegetation, climate and topography on evapotranspiration modelling at different time scales within the Budyko framework. Agricultural and Forest Meteorology. 275. 59–68. 79 indexed citations
13.
Li, Zongxing, Ruifeng Yuan, Qi Feng, et al.. (2019). Climate background, relative rate, and runoff effect of multiphase water transformation in Qilian Mountains, the third pole region. The Science of The Total Environment. 663. 315–328. 50 indexed citations
14.
Li, Huijuan, Changxing Shi, Yusheng Zhang, et al.. (2019). Using the Budyko hypothesis for detecting and attributing changes in runoff to climate and vegetation change in the soft sandstone area of the middle Yellow River basin, China. The Science of The Total Environment. 703. 135588–135588. 59 indexed citations
15.
Ning, Tingting, Zhi Li, Qi Feng, Wenzhao Liu, & Zongxing Li. (2018). Comparison of the effectiveness of four Budyko-based methods in attributing long-term changes in actual evapotranspiration. Scientific Reports. 8(1). 12665–12665. 37 indexed citations
16.
Ning, Tingting, Wenzhao Liu, Hong Shen, & Zhi Li. (2018). Attribution analysis of the spatial variations in potential evapotranspiration on the Loess Plateau of China by a total differential equation. Hydrology research. 49(6). 1902–1914. 4 indexed citations
17.
Ning, Tingting, Zhi Li, & Wenzhao Liu. (2017). Vegetation dynamics and climate seasonality jointly control the interannual catchment water balance in the Loess Plateau under the Budyko framework. Hydrology and earth system sciences. 21(3). 1515–1526. 104 indexed citations
18.
Li, Zhi, Tingting Ning, Jingjing Li, & Daqing Yang. (2017). Spatiotemporal variation in the attribution of streamflow changes in a catchment on China's Loess Plateau. CATENA. 158. 1–8. 28 indexed citations
19.
Ning, Tingting, Zhi Li, & Wenzhao Liu. (2016). Separating the impacts of climate change and land surface alteration on runoff reduction in the Jing River catchment of China. CATENA. 147. 80–86. 81 indexed citations
20.
Ning, Tingting, Zhi Li, Wenzhao Liu, & Xiaoyang Han. (2016). Evolution of potential evapotranspiration in the northern Loess Plateau of China: recent trends and climatic drivers. International Journal of Climatology. 36(12). 4019–4028. 57 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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