Lixiang Song

1.1k total citations
31 papers, 861 citations indexed

About

Lixiang Song is a scholar working on Global and Planetary Change, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Lixiang Song has authored 31 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 8 papers in Computational Mechanics. Recurrent topics in Lixiang Song's work include Flood Risk Assessment and Management (14 papers), Meteorological Phenomena and Simulations (8 papers) and Computational Fluid Dynamics and Aerodynamics (8 papers). Lixiang Song is often cited by papers focused on Flood Risk Assessment and Management (14 papers), Meteorological Phenomena and Simulations (8 papers) and Computational Fluid Dynamics and Aerodynamics (8 papers). Lixiang Song collaborates with scholars based in China, Croatia and Australia. Lixiang Song's co-authors include Jun Guo, Jianzhong Zhou, Chao Zhou, Qiang Zou, Yi Liu, Qiang Zou, Jianzhong Zhou, Yongchuan Zhang, Hao Wang and Xiaoling Yang and has published in prestigious journals such as Journal of Hydrology, Expert Systems with Applications and Environmental Research.

In The Last Decade

Lixiang Song

27 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lixiang Song China	15	467	332	208	169	120	31	861
Philippe Gourbesville France	20	800 1.7×	580 1.7×	311 1.5×	249 1.5×	132 1.1×	80	1.2k
Marco Mancini Italy	13	419 0.9×	160 0.5×	156 0.8×	236 1.4×	63 0.5×	57	724
Raffaele Albano Italy	21	567 1.2×	325 1.0×	165 0.8×	166 1.0×	74 0.6×	49	994
Haijun Yu China	16	729 1.6×	333 1.0×	232 1.1×	364 2.2×	84 0.7×	38	1.0k
Tawatchai Tingsanchali Thailand	20	762 1.6×	585 1.8×	345 1.7×	184 1.1×	318 2.6×	57	1.6k
S. Ahmad United States	16	426 0.9×	236 0.7×	197 0.9×	220 1.3×	121 1.0×	39	1.0k
Thendiyath Roshni India	15	313 0.7×	292 0.9×	328 1.6×	72 0.4×	107 0.9×	70	689

Countries citing papers authored by Lixiang Song

Since Specialization

Citations

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

Fields of papers citing papers by Lixiang Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixiang Song

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

Zhong, Ming, Xueyou Li, Lu Zhuo, et al.. (2025). Identifying Risk Transition Pattern of Compound Flooding Using the Copula Integrated Markov Chain. Water Resources Management. 39(14). 7727–7748.

Guo, Lin, Jia Song, Yang Li, et al.. (2025). Internet usage elevates elderly obesity: evidence from a difference-in-differences analysis of the broadband China policy. Archives of Public Health. 83(1). 68–68.

Zhao, Jianshi, et al.. (2024). Rapid urban flood inundation forecasting using a physics-informed deep learning approach. Journal of Hydrology. 643. 131998–131998. 16 indexed citations

Wu, Yi, Xuezhi Tan, Hao‐Yuan Mo, et al.. (2024). A Dynamic Game Model for Emergency Resource Managers and Compound Disasters Induced by Heavy Rainstorms. Water. 16(20). 2959–2959.

Zhong, Ming, Xiao Lu, Yiwen Mei, et al.. (2023). A study on compound flood prediction and inundation simulation under future scenarios in a coastal city. Journal of Hydrology. 628. 130475–130475. 22 indexed citations

Zhang, Yin, Jun Xia, Fang Yang, et al.. (2023). Analysis of Drought Characteristic of Sichuan Province, Southwestern China. Water. 15(8). 1601–1601. 6 indexed citations

Song, Lixiang & Ke Fei. (2021). Research on K Nearest Neighbor Skyline Query in Time Dependent Road Network. Journal of Physics Conference Series. 1848(1). 12140–12140. 1 indexed citations

Wang, Hao, Xiaohui Lei, Soon‐Thiam Khu, & Lixiang Song. (2019). Optimization of Pump Start-Up Depth in Drainage Pumping Station Based on SWMM and PSO. Water. 11(5). 1002–1002. 23 indexed citations

Wang, Hao & Lixiang Song. (2019). Water Level Prediction of Rainwater Pipe Network Using an SVM-Based Machine Learning Method. International Journal of Pattern Recognition and Artificial Intelligence. 34(2). 2051002–2051002. 17 indexed citations

10.

Song, Lixiang, et al.. (2018). An Unstructured-Grid Based Morphodynamic Model for Sandbar Simulation in the Modaomen Estuary, China. Water. 10(5). 611–611. 7 indexed citations

11.

Song, Lixiang, et al.. (2017). Hydrodynamic modeling of flash flood in mountain watersheds based on high-performance GPU computing. Natural Hazards. 91(2). 567–586. 37 indexed citations

12.

Wang, Yu, et al.. (2015). A Sea Wave Height Measurement Method Based On 3-D Image Measurement Technique. The Twenty-fifth International Ocean and Polar Engineering Conference. 3 indexed citations

13.

Zhou, Jianzhong, et al.. (2015). A two-dimensional coupled flow-mass transport model based on an improved unstructured finite volume algorithm. Environmental Research. 139. 65–74. 6 indexed citations

14.

Zhou, Jianzhong, et al.. (2014). A Finite Volume Method for Modeling Shallow Flows with Wet‐Dry Fronts on Adaptive Cartesian Grids. Mathematical Problems in Engineering. 2014(1). 6 indexed citations

15.

Liu, Yi, et al.. (2013). Numerical modelling of free-surface shallow flows over irregular topography with complex geometry. Applied Mathematical Modelling. 37(23). 9482–9498. 16 indexed citations

16.

Song, Lixiang. (2012). Two-dimensional shallow hydrodynamic model based an adaptive structured grid. Chinese Journal of Hydrodynamics. 1 indexed citations

17.

Zou, Qiang, Jianzhong Zhou, Chao Zhou, et al.. (2012). Flood disaster risk analysis based on variable fuzzy sets theory. Nongye gongcheng xuebao. 2012(5). 7 indexed citations

18.

Song, Lixiang, Jianzhong Zhou, Jun Guo, Qiang Zou, & Yi Liu. (2011). A robust well-balanced finite volume model for shallow water flows with wetting and drying over irregular terrain. Advances in Water Resources. 34(7). 915–932. 96 indexed citations

19.

Zhang, Xiaoyuan, et al.. (2011). Multi-class support vector machine optimized by inter-cluster distance and self-adaptive deferential evolution. Applied Mathematics and Computation. 218(9). 4973–4987. 26 indexed citations

20.

Zou, Qiang, Jianzhong Zhou, Chao Zhou, et al.. (2011). The practical research on flood risk analysis based on IIOSM and fuzzy α-cut technique. Applied Mathematical Modelling. 36(7). 3271–3282. 18 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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