Yueling Wang

1.7k total citations
28 papers, 818 citations indexed

About

Yueling Wang is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yueling Wang has authored 28 papers receiving a total of 818 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 10 papers in Environmental Engineering. Recurrent topics in Yueling Wang's work include Flood Risk Assessment and Management (15 papers), Hydrology and Watershed Management Studies (12 papers) and Hydrological Forecasting Using AI (7 papers). Yueling Wang is often cited by papers focused on Flood Risk Assessment and Management (15 papers), Hydrology and Watershed Management Studies (12 papers) and Hydrological Forecasting Using AI (7 papers). Yueling Wang collaborates with scholars based in China, United Kingdom and Australia. Yueling Wang's co-authors include Jun Xia, Jim W. Hall, Georges Kesserwani, Qiuhua Liang, Chesheng Zhan, Xiaoliu Yang, Yunfeng Qiao, Huang Sheng, Peng Yang and Yuqing Zhang and has published in prestigious journals such as The Science of The Total Environment, Water Research and Water Resources Research.

In The Last Decade

Yueling Wang

28 papers receiving 798 citations

Peers

Yueling Wang

WST

GPC

OCEAN

Tobias Bleninger Brazil

Huanghe Gu China

Khaled Haddad Australia

John Eric Edinger United States

W. M. J. Luxemburg Netherlands

Bettina Nicole Bockelmann-Evans United Kingdom

Mark B. Hausner United States

Byung Joon Lee South Korea

Daniele Pietro Viero Italy

Tobias Bleninger Brazil

Yueling Wang

279 ×0.6

WST

130 ×0.4

GPC

98 ×0.5

67 ×0.5

177 ×1.8

OCEAN

Citations per year, relative to Yueling Wang Yueling Wang (= 1×) peers Tobias Bleninger

Countries citing papers authored by Yueling Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yueling Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yueling Wang. A scholar is included among the top collaborators of Yueling Wang 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 Yueling Wang. Yueling Wang 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

Sheng, Huang, Yueling Wang, & Jun Xia. (2024). Which riverine water quality parameters can be predicted by meteorologically-driven deep learning?. The Science of The Total Environment. 946. 174357–174357. 13 indexed citations

Sheng, Huang, Jun Xia, Yueling Wang, et al.. (2024). Pollution loads in the middle-lower Yangtze river by coupling water quality models with machine learning. Water Research. 263. 122191–122191. 11 indexed citations

Sheng, Huang, Jun Xia, Yueling Wang, Jiarui Lei, & Gangsheng Wang. (2024). Water quality prediction based on sparse dataset using enhanced machine learning. Environmental Science and Ecotechnology. 20. 100402–100402. 18 indexed citations

Zhang, Q., et al.. (2023). A coupled model applied to complex river–lake systems. Hydrological Sciences Journal. 69(1). 95–105. 1 indexed citations

Zeng, Sidong, et al.. (2022). Effects of the Three Gorges Dam on the downstream streamflow based on a large-scale hydrological and hydrodynamics coupled model. Journal of Hydrology Regional Studies. 40. 101039–101039. 21 indexed citations

Zhang, Yongyong, Jun Xia, Yueling Wang, et al.. (2022). Simulation and Assessment of Projected Climate Change Impacts on Urban Flood Events: Insights From Flooding Characteristic Metrics. Journal of Geophysical Research Atmospheres. 127(3). 18 indexed citations

Sheng, Huang, Jun Xia, Yueling Wang, et al.. (2022). Coupling Machine Learning Into Hydrodynamic Models to Improve River Modeling With Complex Boundary Conditions. Water Resources Research. 58(10). 34 indexed citations

Yun, Xiaobo, Qiuhong Tang, Jie Wang, et al.. (2020). Impacts of climate change and reservoir operation on streamflow and flood characteristics in the Lancang-Mekong River Basin. Journal of Hydrology. 590. 125472–125472. 107 indexed citations

Ning, Like, et al.. (2019). A review of fully coupled atmosphere-hydrology simulations. Journal of Geographical Sciences. 29(3). 465–479. 31 indexed citations

10.

Wang, Yueling & Xiaoliu Yang. (2018). Sensitivity Analysis of the Surface Runoff Coefficient of HiPIMS in Simulating Flood Processes in a Large Basin. Water. 10(3). 253–253. 8 indexed citations

11.

Yang, Peng, Jun Xia, Chesheng Zhan, Yunfeng Qiao, & Yueling Wang. (2017). Monitoring the spatio-temporal changes of terrestrial water storage using GRACE data in the Tarim River basin between 2002 and 2015. The Science of The Total Environment. 595. 218–228. 104 indexed citations

12.

Wang, Yueling, et al.. (2015). Statistical study to identify the key factors governing ground water recharge in the watersheds of the arid Central Asia. Environmental Monitoring and Assessment. 188(1). 210–210. 12 indexed citations

13.

Zhang, Hongbin, Yueling Wang, Qiuhua Liang, Luke Smith, & Chris Kilsby. (2014). Non-negative depth reconstruction for a two-dimensional partial inertial inundation model. Journal of Hydroinformatics. 16(5). 1158–1177. 3 indexed citations

14.

Wang, Yueling, Qiuhua Liang, Georges Kesserwani, & Jim W. Hall. (2011). A 2D shallow flow model for practical dam-break simulations. Journal of Hydraulic Research. 49(3). 307–316. 84 indexed citations

15.

Wang, Yueling, Qiuhua Liang, Georges Kesserwani, & Jim W. Hall. (2011). A positivity-preserving zero-inertia model for flood simulation. Computers & Fluids. 46(1). 505–511. 22 indexed citations

16.

Zhang, Yuqing, et al.. (2010). Study on phosphorylated Zr-doped hybrid silicas/PSF composite membranes for treatment of wastewater containing oil. Journal of Membrane Science. 361(1-2). 113–119. 26 indexed citations

17.

Zhang, Yuqing, et al.. (2009). Study on the build of channels in accurate separation membrane and its selective mechanism. Journal of Membrane Science. 339(1-2). 100–108. 11 indexed citations

18.

Hall, Jim W., et al.. (2009). Sensitivity Analysis for Hydraulic Models. Journal of Hydraulic Engineering. 135(11). 959–969. 77 indexed citations

19.

Zhang, Yuqing, et al.. (2009). Development of a sulfated Y-doped nonstoichiometric zirconia/polysulfone composite membrane for treatment of wastewater containing oil. Separation and Purification Technology. 70(2). 153–159. 57 indexed citations

20.

Wang, Qian, et al.. (2008). PREPARATION OF HIGH-TEMPERATURE VULCANIZED SILICONE RUBBER OF EXCELLENT MECHANICAL AND OPTICAL PROPERTIES USING HYDROPHOBIC NANO SILICA SOL AS REINFORCEMENT. Chinese Journal of Polymer Science. 26(4). 495–495. 13 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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