Qiuhua Liang

7.3k total citations · 1 hit paper
172 papers, 5.5k citations indexed

About

Qiuhua Liang is a scholar working on Global and Planetary Change, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Qiuhua Liang has authored 172 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Global and Planetary Change, 65 papers in Atmospheric Science and 59 papers in Computational Mechanics. Recurrent topics in Qiuhua Liang's work include Flood Risk Assessment and Management (69 papers), Hydrology and Watershed Management Studies (48 papers) and Computational Fluid Dynamics and Aerodynamics (42 papers). Qiuhua Liang is often cited by papers focused on Flood Risk Assessment and Management (69 papers), Hydrology and Watershed Management Studies (48 papers) and Computational Fluid Dynamics and Aerodynamics (42 papers). Qiuhua Liang collaborates with scholars based in United Kingdom, China and Germany. Qiuhua Liang's co-authors include Xilin Xia, Alistair G.L. Borthwick, Fabien Marche, Jingming Hou, Xiaodong Ming, Luke Smith, Georges Kesserwani, Reinhard Hinkelmann, Xijun Lai and Haibo Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Qiuhua Liang

165 papers receiving 5.3k citations

Hit Papers

Numerical resolution of w... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuhua Liang United Kingdom 38 3.0k 2.0k 1.9k 1.3k 853 172 5.5k
Guangqian Wang China 41 2.4k 0.8× 2.2k 1.1× 985 0.5× 305 0.2× 887 1.0× 198 5.6k
Luís Cea Spain 31 1.7k 0.6× 1.3k 0.7× 734 0.4× 352 0.3× 639 0.7× 105 2.9k
Mario Putti Italy 31 925 0.3× 1.5k 0.8× 524 0.3× 667 0.5× 1.8k 2.1× 133 4.1k
Heping Liu United States 32 2.5k 0.8× 405 0.2× 1.5k 0.8× 565 0.4× 904 1.1× 157 3.7k
Jean A. Cunge France 14 2.1k 0.7× 2.9k 1.5× 590 0.3× 463 0.4× 1.2k 1.4× 40 4.3k
T. I. Eldho India 36 1.6k 0.5× 1.5k 0.8× 363 0.2× 584 0.5× 1.2k 1.4× 231 4.4k
R. L. Walko United States 30 4.8k 1.6× 626 0.3× 4.5k 2.3× 196 0.2× 1.3k 1.5× 60 6.4k
Anton Beljaars United Kingdom 50 7.4k 2.4× 846 0.4× 7.5k 3.9× 402 0.3× 2.4k 2.9× 105 9.7k
Gareth Pender United Kingdom 31 1.3k 0.4× 825 0.4× 521 0.3× 405 0.3× 418 0.5× 111 3.2k
M. L. Kavvas United States 39 2.5k 0.8× 2.4k 1.2× 1.3k 0.7× 92 0.1× 1.2k 1.4× 274 4.9k

Countries citing papers authored by Qiuhua Liang

Since Specialization
Citations

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

Fields of papers citing papers by Qiuhua Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuhua Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Qiuhua Liang. A scholar is included among the top collaborators of Qiuhua Liang 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 Qiuhua Liang. Qiuhua Liang 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
2.
Tao, Aifeng, et al.. (2025). Key differences of swells around China induced by two calculation domains. Applied Ocean Research. 165. 104804–104804.
3.
Ming, Xiaodong, et al.. (2025). Large-scale high-resolution hydrodynamic modelling of urban floods: Some practical considerations. Journal of Hydro-environment Research. 59. 100655–100655.
4.
Chen, Huili, Qiuhua Liang, Jiaheng Zhao, & Sudan Bikash Maharjan. (2025). Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity. Hydrology and earth system sciences. 29(3). 733–752. 1 indexed citations
5.
Zhou, Yihong, et al.. (2024). Threshold and real-time initiation mechanism of urban flood emergency response under combined disaster scenarios. Sustainable Cities and Society. 108. 105512–105512. 16 indexed citations
6.
Liang, Qiuhua, et al.. (2024). Simulation of the Full‐Process Dynamics of Floating Vehicles Driven by Flash Floods. Water Resources Research. 60(10). 2 indexed citations
7.
Liang, Qiuhua, et al.. (2024). A coupled hydrological and hydrodynamic modeling approach for estimating rainfall thresholds of debris-flow occurrence. Natural hazards and earth system sciences. 24(10). 3357–3379. 3 indexed citations
8.
Lai, Xijun, et al.. (2023). An improved non-point source pollution model for catchment-scale hydrological processes and phosphorus loads. Journal of Hydrology. 621. 129588–129588. 8 indexed citations
9.
Liang, Qiuhua, et al.. (2023). Assessment of Object-Level Flood Impact in an Urbanized Area Considering Operation of Hydraulic Structures. Sustainability. 15(5). 4589–4589. 1 indexed citations
10.
Chen, Huili, Jiaheng Zhao, Qiuhua Liang, Sudan Bikash Maharjan, & Sharad Joshi. (2021). Assessing the potential impact of glacial lake outburst floods on individual objects using a high-performance hydrodynamic model and open-source data. The Science of The Total Environment. 806(Pt 3). 151289–151289. 14 indexed citations
11.
Liu, Kai, Linghong Ke, Jida Wang, et al.. (2021). Ongoing Drainage Reorganization Driven by Rapid Lake Growths on the Tibetan Plateau. Geophysical Research Letters. 48(24). 49 indexed citations
12.
Ming, Xiaodong, et al.. (2020). Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions. Water Resources Research. 56(7). 177 indexed citations
13.
Birkinshaw, Stephen, Selma B. Guerreiro, Qiuhua Liang, et al.. (2017). Climate change impacts on Yangtze River discharge at the Three Gorges Dam. Hydrology and earth system sciences. 21(4). 1911–1927. 73 indexed citations
14.
Liang, Qiuhua, et al.. (2016). Computationally Efficient Tsunami Modeling on Graphics Processing Units (GPUs). International Journal of Offshore and Polar Engineering. 26(2). 154–160. 14 indexed citations
15.
Liang, Qiuhua, et al.. (2016). Testing a Shock-Capturing Hydrodynamic Model for Storm Surge Simulation. The 26th International Ocean and Polar Engineering Conference. 1 indexed citations
16.
Lai, Xijun, et al.. (2014). Variational assimilation of remotely sensed flood extents using a 2-D flood model. Hydrology and earth system sciences. 18(11). 4325–4339. 31 indexed citations
17.
Downie, M, et al.. (2013). 3D Numerical Reconstruction of the Hydrodynamics Around an Artificial Reef in Loch Linnhe, Scotland. The Twenty-third International Offshore and Polar Engineering Conference. 5 indexed citations
18.
Downie, M, et al.. (2012). Tidal Simulation In Loch Linnhe Using a Finite Volume Shallow Flow Model. The Twenty-second International Offshore and Polar Engineering Conference. 2 indexed citations
19.
Zang, Jun, Shiqing Liu, Qiuhua Liang, et al.. (2007). A new Boussinesq model for wave run-up on curved structures using Cartesian cut-cell grids. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
20.
Zang, Jun, Dezhi Ning, Shuxue Liu, et al.. (2007). Boussinesq cut-cell model for wave scattering from cylinder in shallow water. International Journal of Offshore and Polar Engineering. 17(4). 266–269. 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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