Quan J. Wang

9.2k total citations
214 papers, 6.8k citations indexed

About

Quan J. Wang is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Quan J. Wang has authored 214 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Global and Planetary Change, 115 papers in Water Science and Technology and 65 papers in Atmospheric Science. Recurrent topics in Quan J. Wang's work include Hydrology and Watershed Management Studies (112 papers), Hydrology and Drought Analysis (86 papers) and Climate variability and models (84 papers). Quan J. Wang is often cited by papers focused on Hydrology and Watershed Management Studies (112 papers), Hydrology and Drought Analysis (86 papers) and Climate variability and models (84 papers). Quan J. Wang collaborates with scholars based in Australia, China and United States. Quan J. Wang's co-authors include David Robertson, Andrew Schepen, Thomas C. Pagano, Hapu Arachchige Prasantha Hapuarachchi, James Bennett, Durga Lal Shrestha, Rory Nathan, Wenyan Wu, Prafulla Pokhrel and Francis H. S. Chiew and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Research and Journal of Climate.

In The Last Decade

Quan J. Wang

201 papers receiving 6.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan J. Wang Australia 46 5.0k 3.4k 2.4k 1.9k 669 214 6.8k
Harald Kling Austria 15 3.8k 0.8× 4.2k 1.3× 1.6k 0.7× 1.9k 1.0× 438 0.7× 23 5.8k
Henrik Madsen Denmark 42 5.4k 1.1× 4.4k 1.3× 2.0k 0.8× 2.1k 1.1× 909 1.4× 124 7.5k
Konstantine P. Georgakakos United States 41 3.7k 0.7× 3.1k 0.9× 2.2k 0.9× 1.4k 0.7× 569 0.9× 150 5.5k
Dmitri Kavetski Australia 44 5.0k 1.0× 6.1k 1.8× 1.7k 0.7× 3.5k 1.9× 830 1.2× 112 8.1k
François Brissette Canada 45 5.6k 1.1× 4.6k 1.4× 2.9k 1.2× 1.4k 0.7× 518 0.8× 151 7.2k
Quanxi Shao Australia 50 4.5k 0.9× 4.0k 1.2× 1.7k 0.7× 1.3k 0.7× 678 1.0× 179 6.9k
Chris Kilsby United Kingdom 47 5.3k 1.1× 2.8k 0.8× 2.3k 0.9× 1.1k 0.6× 522 0.8× 151 6.9k
Luis Samaniego Germany 48 4.5k 0.9× 4.4k 1.3× 1.4k 0.6× 2.0k 1.1× 341 0.5× 133 6.9k
Patrick Matgen Luxembourg 43 4.7k 0.9× 3.6k 1.1× 2.6k 1.1× 2.2k 1.2× 354 0.5× 142 6.7k
Carlo De Michele Italy 41 4.6k 0.9× 2.3k 0.7× 1.9k 0.8× 790 0.4× 512 0.8× 185 6.8k

Countries citing papers authored by Quan J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Quan J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan J. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Quan J. Wang. A scholar is included among the top collaborators of Quan J. 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 Quan J. Wang. Quan J. Wang 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.
Wu, Wenyan, et al.. (2026). What drives reservoir infrastructure upgrade decisions under deep uncertainty?. Environmental Modelling & Software. 197. 106862–106862.
2.
Yuan, Meng, et al.. (2025). Establishing water-adaptive cropping systems to combat aquifer depletion in North China. 2(2). 100051–100051. 1 indexed citations
3.
Wang, Quan J., et al.. (2025). Calibration of precipitation forecasts from NWP models for ungauged locations. Journal of Hydrology. 661. 133733–133733.
4.
Zhang, Wei, et al.. (2025). RadarDiT: An advanced radar echo extrapolation model for three gorges reservoir area via diffusion transformer. Journal of Hydrology Regional Studies. 61. 102703–102703.
5.
Wang, Quan J., et al.. (2025). Considering ensemble spread improves rainfall forecast post‐processing. Quarterly Journal of the Royal Meteorological Society. 151(767). 2 indexed citations
6.
Wang, Quan J., et al.. (2025). Flood monitoring: A hydrologically guided method for infilling incomplete flood inundation maps derived from satellite images. Journal of Hydrology. 660. 133365–133365. 1 indexed citations
7.
Gu, Xihui, Quan J. Wang, Lunche Wang, et al.. (2024). Anthropogenic exacerbations of summer-autumn compound dry-hot severity in the middle and lower reaches of the Yangtze River. Journal of Hydrology. 646. 132346–132346. 1 indexed citations
8.
Liu, Li, Xiao Liang, Yue‐Ping Xu, et al.. (2024). Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting. Journal of Hydrology. 644. 131993–131993. 3 indexed citations
9.
Shen, Yufang, et al.. (2024). DSC-YOLOv8n: An advanced automatic detection algorithm for urban flood levels. Journal of Hydrology. 643. 132028–132028. 7 indexed citations
10.
Sangiorgio, Matteo, et al.. (2024). Solving the robustness puzzle: The joint impact of optimization approach, robustness metrics, and scenarios on water resources management under deep uncertainty. Journal of Environmental Management. 373. 123540–123540. 4 indexed citations
11.
Pérez-Martín, Miguel Ángel, et al.. (2024). Adapting Water Resources Management to Climate Change in Water-Stressed River Basins—Júcar River Basin Case. Water. 16(7). 1004–1004. 3 indexed citations
12.
Li, Zongxing, Qi Feng, Xufeng Wang, et al.. (2023). Accelerated multiphase water transformation in global mountain regions since 1990. 1(3). 100033–100033. 12 indexed citations
13.
Wang, Quan J., Andrew W. Western, Wenyan Wu, et al.. (2023). Using Ensemble Streamflow Forecasts to Inform Seasonal Outlooks for Water Allocations in the Murray Darling Basin. Journal of Water Resources Planning and Management. 149(9). 3 indexed citations
14.
Guo, Danlu, Quan J. Wang, Dongryeol Ryu, et al.. (2022). An analysis framework to evaluate irrigation decisions using short-term ensemble weather forecasts. Irrigation Science. 41(1). 155–171. 17 indexed citations
15.
Wang, Quan J., et al.. (2021). Introducing long‐term trends into subseasonal temperature forecasts through trend‐aware postprocessing. International Journal of Climatology. 42(9). 4972–4988. 8 indexed citations
16.
Wang, Quan J., et al.. (2020). Which precipitation forecasts to use? Deterministic versus coarser‐resolution ensemble NWP models. Quarterly Journal of the Royal Meteorological Society. 147(735). 900–913. 22 indexed citations
17.
18.
Walker, Jeffrey P., et al.. (2011). Comparison of weather radar, numerical weather prediction and gauge-based rainfall estimates. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 4 indexed citations
19.
Wang, Enli, et al.. (2011). Monthly and seasonal streamflow forecasts using rainfall-runoff modeling and POAMA predictions. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 2 indexed citations
20.
Wang, Quan J., et al.. (2008). Scenario Planning as a Tool for Regional Water Management Irrigation Futures of the Goulburn Broken Catchment. 2203.

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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