Wenyan Wu

3.8k total citations
105 papers, 2.5k citations indexed

About

Wenyan Wu is a scholar working on Water Science and Technology, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Wenyan Wu has authored 105 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Water Science and Technology, 36 papers in Civil and Structural Engineering and 36 papers in Global and Planetary Change. Recurrent topics in Wenyan Wu's work include Water Systems and Optimization (34 papers), Water resources management and optimization (33 papers) and Hydrology and Watershed Management Studies (24 papers). Wenyan Wu is often cited by papers focused on Water Systems and Optimization (34 papers), Water resources management and optimization (33 papers) and Hydrology and Watershed Management Studies (24 papers). Wenyan Wu collaborates with scholars based in Australia, China and United Kingdom. Wenyan Wu's co-authors include Holger R. Maier, Graeme C. Dandy, Angus R. Simpson, Quan J. Wang, Rory Nathan, Jiahua Wei, Haibo Chu, Michael Leonard, Seth Westra and Fredrik Wetterhall and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Water Research and Journal of Cleaner Production.

In The Last Decade

Wenyan Wu

97 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenyan Wu Australia	28	1.1k	1.0k	913	558	502	105	2.5k
Shuo Wang China	34	1.5k 1.4×	1.0k 1.0×	525 0.6×	609 1.1×	371 0.7×	188	3.6k
Zening Wu China	28	1.2k 1.1×	886 0.9×	738 0.8×	344 0.6×	178 0.4×	124	2.4k
Kaveh Ostad‐Ali‐Askari Iran	28	1.0k 0.9×	901 0.9×	791 0.9×	239 0.4×	403 0.8×	139	2.9k
B. J. C. Perera Australia	33	1.6k 1.4×	1.5k 1.5×	1.3k 1.4×	567 1.0×	368 0.7×	80	3.6k
Sayed M. Bateni United States	35	1.5k 1.3×	954 0.9×	1.5k 1.6×	788 1.4×	734 1.5×	158	3.7k
Ahmad Sharafati Iran	32	1.4k 1.3×	1.4k 1.4×	1.5k 1.6×	423 0.8×	603 1.2×	137	3.5k
Saeid Eslamian Iran	26	1.4k 1.2×	928 0.9×	634 0.7×	302 0.5×	271 0.5×	168	2.7k
Manish Kumar Goyal India	39	2.4k 2.2×	1.4k 1.4×	1.2k 1.3×	975 1.7×	355 0.7×	144	4.3k
Yurui Fan China	37	1.1k 1.0×	1.7k 1.7×	650 0.7×	350 0.6×	368 0.7×	136	3.2k

Countries citing papers authored by Wenyan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Wenyan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyan Wu

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

Wu, Wenyan, et al.. (2026). What drives reservoir infrastructure upgrade decisions under deep uncertainty?. Environmental Modelling & Software. 197. 106862–106862.

Wang, Quan J., et al.. (2025). Calibration of precipitation forecasts from NWP models for ungauged locations. Journal of Hydrology. 661. 133733–133733.

Wu, Wenyan, et al.. (2025). Optimising behind-the-meter solar for water distribution systems: impact of network configuration and electricity tariff structure. Journal of Cleaner Production. 520. 146069–146069.

Weyer, Erik, et al.. (2024). Stochastic Model Predictive Control for Water Level Regulation in a Lake. IFAC-PapersOnLine. 58(2). 49–54.

Weyer, Erik, et al.. (2024). Bayesian System Identification of a River. IFAC-PapersOnLine. 58(15). 7–12. 1 indexed citations

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

Wang, Quan J., et al.. (2024). Generation and selection of training events for surrogate flood inundation models. Journal of Environmental Management. 373. 123570–123570. 2 indexed citations

Kattel, Giri, et al.. (2023). How resilient are waterways of the Asian Himalayas? Finding adaptive measures for future sustainability. Wiley Interdisciplinary Reviews Water. 10(6). 4 indexed citations

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

10.

Wu, Wenyan, et al.. (2023). Sizing behind-the-meter solar PV for pumped water distribution systems: A comparison of methods. Journal of Cleaner Production. 434. 140210–140210. 6 indexed citations

11.

Wang, Quan J., et al.. (2023). Supercharging hydrodynamic inundation models for instant flood insight. Nature Water. 1(10). 835–843. 36 indexed citations

12.

Wu, Wenyan, et al.. (2023). Water Distribution System Optimization Considering Behind-the-Meter Solar Energy with a Hydraulic Power-Based Search-Space Reduction Method. Journal of Water Resources Planning and Management. 149(9). 4 indexed citations

13.

Wu, Wenyan, et al.. (2022). Simpler Is Better—Calibration of Pipe Roughness in Water Distribution Systems. Water. 14(20). 3276–3276. 10 indexed citations

14.

Yang, Qichun, et al.. (2022). Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting. Hydrology and earth system sciences. 26(4). 941–954.

15.

Wang, Quan J., et al.. (2022). Upskilling Low‐Fidelity Hydrodynamic Models of Flood Inundation Through Spatial Analysis and Gaussian Process Learning. Water Resources Research. 58(8). 29 indexed citations

16.

Bevacqua, Emanuele, Carlo De Michele, Colin Manning, et al.. (2021). Guidelines for Studying Diverse Types of Compound Weather and Climate Events. Earth s Future. 9(11). 126 indexed citations

17.

Yang, Qichun, et al.. (2021). Reconstructing climate trends adds skills to seasonal reference crop evapotranspiration forecasting. 2 indexed citations

18.

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

19.

Xi, Jin & Wenyan Wu. (2015). Merged two-level optimization for optimal pump operation of large scale urban water distribution system. Journal of Water Supply Research and Technology—AQUA. 64(8). 915–926. 1 indexed citations

20.

Wu, Wenyan, Graeme C. Dandy, & Holger R. Maier. (2011). Application of artificial neural networks to forecasting water quality in a chloraminated water distribution system. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 12 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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