Yalan Song

615 total citations
19 papers, 132 citations indexed

About

Yalan Song is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Yalan Song has authored 19 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 7 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Yalan Song's work include Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Sediment Transport Processes (6 papers). Yalan Song is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (6 papers) and Hydrology and Sediment Transport Processes (6 papers). Yalan Song collaborates with scholars based in United States, China and Saudi Arabia. Yalan Song's co-authors include Xiaofeng Liu, Chaopeng Shen, Yong G. Lai, Fabián A. Bombardelli, Kathryn Lawson, Alan M. Rhoades, Dapeng Feng, Martyn Clark, Wouter Knoben and Xi Chen and has published in prestigious journals such as Nature Communications, Water Resources Research and Journal of Hydrology.

In The Last Decade

Yalan Song

16 papers receiving 130 citations

Peers

Yalan Song

ECOLO

CSE

WST

GPC

R. C. Berger United States

Zhiyuan Yue China

Shengyao Mei China

Alistair D. Kirkbride United Kingdom

Janis L. Hernandez United States

Jorge Escobar-Vargas Colombia

Dariia Strelnikova Austria

Atilla Bayram Sweden

C. Poindexter United States

R. C. Berger United States

Yalan Song

51 ×0.8

ECOLO

47 ×0.9

CSE

34 ×0.9

WST

23 ×0.7

33 ×1.2

GPC

Citations per year, relative to Yalan Song Yalan Song (= 1×) peers R. C. Berger

Countries citing papers authored by Yalan Song

Since Specialization

Citations

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

Fields of papers citing papers by Yalan Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yalan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yalan Song. A scholar is included among the top collaborators of Yalan 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 Yalan Song. Yalan 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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19 of 19 papers shown

Song, Yalan, Ming Pan, Hylke E. Beck, et al.. (2025). Improving differentiable hydrologic modeling with interpretable forcing fusion. Journal of Hydrology. 659. 133320–133320. 1 indexed citations

Liu, Jiangtao, Chaopeng Shen, Fearghal O’Donncha, et al.. (2025). From RNNs to Transformers: benchmarking deep learning architectures for hydrologic prediction. Hydrology and earth system sciences. 29(23). 6811–6828.

Knoben, Wouter, Mukesh Kumar, Alain Pietroniro, et al.. (2025). Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?. Hydrology and earth system sciences. 29(11). 2361–2375. 1 indexed citations

Liu, Xiaofeng & Yalan Song. (2025). Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations With Differentiable Programming. Water Resources Research. 61(9). 1 indexed citations

Yang, Yuan, Ming Pan, T. A. Dixon, et al.. (2025). Improving streamflow simulation through machine learning-powered data integration and its potential for forecasting in the Western U.S.. Hydrology and earth system sciences. 29(20). 5453–5476.

Song, Yalan, Tadd Bindas, Chaopeng Shen, et al.. (2025). Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning. Nature Communications. 16(1). 9169–9169.

Song, Yalan, Farshid Rahmani, Wei Zhi, et al.. (2024). Deep learning insights into suspended sediment concentrations across the conterminous United States: Strengths and limitations. Journal of Hydrology. 639. 131573–131573. 9 indexed citations

Song, Yalan, Wouter Knoben, Martyn Clark, et al.. (2024). When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling. Hydrology and earth system sciences. 28(13). 3051–3077. 12 indexed citations

Liu, Xiaofeng, Yalan Song, & Chaopeng Shen. (2024). Bathymetry Inversion Using a Deep‐Learning‐Based Surrogate for Shallow Water Equations Solvers. Water Resources Research. 60(3). 4 indexed citations

10.

Song, Yalan, Wen‐Ping Tsai, Alan M. Rhoades, et al.. (2023). LSTM-Based Data Integration to Improve Snow Water Equivalent Prediction and Diagnose Error Sources. Journal of Hydrometeorology. 25(1). 223–237. 13 indexed citations

11.

Song, Yalan, Farshid Rahmani, Wei Zhi, et al.. (2023). Deep Learning Insights into Suspended Sediment Concentrations Across the Conterminous United States: Strengths and Limitations. SSRN Electronic Journal. 2 indexed citations

12.

Song, Yalan, Chaopeng Shen, & Xiaofeng Liu. (2023). A Surrogate Model for Shallow Water Equations Solvers with Deep Learning. Journal of Hydraulic Engineering. 149(11). 9 indexed citations

13.

Lai, Yong G., Xiaofeng Liu, Fabián A. Bombardelli, & Yalan Song. (2022). Three-Dimensional Numerical Modeling of Local Scour: A State-of-the-Art Review and Perspective. Journal of Hydraulic Engineering. 148(11). 26 indexed citations

14.

Song, Yalan, et al.. (2022). Scour around underwater unexploded ordnances (UXOs): An experimental and computational investigation. Ocean Engineering. 262. 112146–112146. 5 indexed citations

15.

Song, Yalan, et al.. (2021). Scour modeling based on immersed boundary method: A pathway to practical use of three-dimensional scour models. Coastal Engineering. 171. 104037–104037. 25 indexed citations

16.

Song, Yalan, Yong G. Lai, & Xiaofeng Liu. (2020). An Improved Immersed Boundary Method for Simulating Flow Hydrodynamics in Streams with Complex Terrains. Water. 12(8). 2226–2226. 4 indexed citations

17.

Song, Yalan, et al.. (2020). Physically Based Sand Slide Method in Scour Models Based on Slope-Limited Diffusion. Journal of Hydraulic Engineering. 146(11). 9 indexed citations

18.

Song, Yalan, Yong G. Lai, & Xiaofeng Liu. (2020). Improved Adaptive Immersed Boundary Method for Smooth Wall Shear. 119–128. 2 indexed citations

19.

Chen, Xi, et al.. (2018). An investigation on HOBEM in evaluating ship wave of high speed displacement ship. Journal of Hydrodynamics. 31(3). 531–541. 9 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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