Lüliu Liu

648 total citations
21 papers, 543 citations indexed

About

Lüliu Liu is a scholar working on Water Science and Technology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Lüliu Liu has authored 21 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 16 papers in Global and Planetary Change and 6 papers in Atmospheric Science. Recurrent topics in Lüliu Liu's work include Hydrology and Watershed Management Studies (17 papers), Climate variability and models (12 papers) and Flood Risk Assessment and Management (5 papers). Lüliu Liu is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Climate variability and models (12 papers) and Flood Risk Assessment and Management (5 papers). Lüliu Liu collaborates with scholars based in China, United States and Germany. Lüliu Liu's co-authors include Thomas Fischer, Hongmei Xu, Chan Xiao, Marco Gemmer, Buda Su, Tong Jiang, Pengcheng Qin, Ying Xu, Zhaofei Liu and Min Liu and has published in prestigious journals such as Journal of Hydrology, International Journal of Environmental Research and Public Health and Climatic Change.

In The Last Decade

Lüliu Liu

20 papers receiving 529 citations

Peers

Lüliu Liu

GPC

WST

Anastasia Lobanova Germany

Zhuguo Ma China

Michel Wortmann Germany

Kuk‐Hyun Ahn South Korea

B. Asadieh United States

Aristoteles Tegos Greece

Serdar Kalaycı Türkiye

Sandra Pool Switzerland

Jamal Zaherpour United Kingdom

S. Crooks United Kingdom

Anastasia Lobanova Germany

Lüliu Liu

308 ×0.9

GPC

344 ×1.0

WST

81 ×0.6

66 ×0.7

61 ×0.7

Citations per year, relative to Lüliu Liu Lüliu Liu (= 1×) peers Anastasia Lobanova

Countries citing papers authored by Lüliu Liu

Since Specialization

Citations

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

Fields of papers citing papers by Lüliu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lüliu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Lüliu Liu. A scholar is included among the top collaborators of Lüliu Liu 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 Lüliu Liu. Lüliu Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Hongmei, Zhihong Xia, Lüliu Liu, et al.. (2024). Hydrologic Responses to Climate Change and Implications for Reservoirs in the Source Region of the Yangtze River. International Journal of Climatology. 44(14). 5280–5296.

Liu, Lüliu, Chan Xiao, & Yihua Liu. (2023). Projected Water Scarcity and Hydrological Extremes in the Yellow River Basin in the 21st Century under SSP-RCP Scenarios. Water. 15(3). 446–446. 8 indexed citations

Liu, Yihua, Lüliu Liu, Lin Li, et al.. (2023). Changes in Runoff in the Source Region of the Yellow River Basin Based on CMIP6 Data under the Goal of Carbon Neutrality. Water. 15(13). 2457–2457. 3 indexed citations

Wang, Xiujie, et al.. (2022). Mid-long term forecasting of reservoir inflow using the coupling of time-varying filter-based empirical mode decomposition and gated recurrent unit. Environmental Science and Pollution Research. 29(58). 87200–87217. 10 indexed citations

Liu, Lüliu, Jing Cheng, Yao Wu, et al.. (2022). Simulation and Projection of Climate Extremes in China by a Set of Statistical Downscaled Data. International Journal of Environmental Research and Public Health. 19(11). 6398–6398. 13 indexed citations

Liu, Yihua, et al.. (2022). Spatiotemporal Variations and Causes of Wind/Rainfall Erosion Climatic Erosivity in Qinghai Province, China. Atmosphere. 13(10). 1649–1649. 5 indexed citations

Qin, Pengcheng, Hongmei Xu, Min Liu, et al.. (2022). Projected impacts of climate change on major dams in the Upper Yangtze River Basin. Climatic Change. 170(1-2). 24 indexed citations

Liu, Lüliu, Ying Wu, Peiqun Zhang, et al.. (2021). Predictability of Seasonal Streamflow Forecasting Based on CSM: Case Studies of Top Three Largest Rivers in China. Water. 13(2). 162–162. 1 indexed citations

Xu, Hongmei, Lüliu Liu, Yong Wang, et al.. (2019). Assessment of climate change impact and difference on the river runoff in four basins in China under 1.5 and 2.0 °C global warming. Hydrology and earth system sciences. 23(10). 4219–4231. 13 indexed citations

10.

Liu, Lüliu, et al.. (2019). Extended-Range Runoff Forecasting Using a One-Way Coupled Climate–Hydrological Model: Case Studies of the Yiluo and Beijiang Rivers in China. Water. 11(6). 1150–1150. 10 indexed citations

11.

Wang, Xiujie, et al.. (2019). Effects of Human Activities on Hydrological Components in the Yiluo River Basin in Middle Yellow River. Water. 11(4). 689–689. 23 indexed citations

12.

Qin, Pengcheng, Hongmei Xu, Min Liu, et al.. (2019). Climate change impacts on Three Gorges Reservoir impoundment and hydropower generation. Journal of Hydrology. 580. 123922–123922. 125 indexed citations

13.

Liu, Lüliu, Tong Jiang, Hongmei Xu, & Yong Wang. (2018). Potential Threats from Variations of Hydrological Parameters to the Yellow River and Pearl River Basins in China over the Next 30 Years. Water. 10(7). 883–883. 19 indexed citations

14.

Liu, Lüliu, Hongmei Xu, Yong Wang, & Tong Jiang. (2017). Impacts of 1.5 and 2 °C global warming on water availability and extreme hydrological events in Yiluo and Beijiang River catchments in China. Climatic Change. 145(1-2). 145–158. 34 indexed citations

15.

Liu, Lüliu & Jianjun Du. (2017). Documented changes in annual runoff and attribution since the 1950s within selected rivers in China. Advances in Climate Change Research. 8(1). 37–47. 20 indexed citations

16.

Liu, Lüliu, Thomas Fischer, Tong Jiang, & Yong Luo. (2013). Comparison of uncertainties in projected flood frequency of the Zhujiang River, South China. Quaternary International. 304. 51–61. 31 indexed citations

17.

Fischer, Thomas, Marco Gemmer, Lüliu Liu, & Buda Su. (2011). Change-points in climate extremes in the Zhujiang River Basin, South China, 1961–2007. Climatic Change. 110(3-4). 783–799. 81 indexed citations

18.

Fischer, Thomas, Marco Gemmer, Lüliu Liu, & Buda Su. (2010). Trends in Monthly Temperature and Precipitation Extremes in the Zhujiang River Basin, South China (1961–2007). Advances in Climate Change Research. 1(2). 63–70. 17 indexed citations

19.

Liu, Lüliu, et al.. (2010). Hydrological impacts of climate change in the Yellow River Basin for the 21st century using hydrological model and statistical downscaling model. Quaternary International. 244(2). 211–220. 100 indexed citations

20.

Li, Yongjun, et al.. (2006). River Water Quality Model Based on Remote Sensing Information Methods——A Case Study of Lijing River in Guilin City. Journal of China University of Mining and Technology. 16(1). 101–104. 1 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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