Xuan-Hien Le

1.7k total citations · 1 hit paper
34 papers, 1.2k citations indexed

About

Xuan-Hien Le is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xuan-Hien Le has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Water Science and Technology, 16 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Xuan-Hien Le's work include Hydrology and Watershed Management Studies (17 papers), Flood Risk Assessment and Management (13 papers) and Precipitation Measurement and Analysis (10 papers). Xuan-Hien Le is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Flood Risk Assessment and Management (13 papers) and Precipitation Measurement and Analysis (10 papers). Xuan-Hien Le collaborates with scholars based in Vietnam, South Korea and Japan. Xuan-Hien Le's co-authors include Giha Lee, Sungho Jung, Duc Hai Nguyen, Deg‐Hyo Bae, Giang V. Nguyen, Thien Vuong Nguyen, Phi Hung Dao, Phuong Nguyen‐Tri, Christian Decker and Duong Tran Anh and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrology and IEEE Access.

In The Last Decade

Xuan-Hien Le

30 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

2019 614 citations Xuan-Hien Le, Giha Lee et al. Water profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuan-Hien Le Vietnam	12	599	532	470	250	145	34	1.2k
Sungho Jung South Korea	10	541 0.9×	448 0.8×	408 0.9×	170 0.7×	130 0.9×	13	929
Shuang Zhu China	18	457 0.8×	471 0.9×	366 0.8×	153 0.6×	80 0.6×	52	1.1k
Doudja Souag-Gamane Algeria	13	581 1.0×	557 1.0×	451 1.0×	77 0.3×	157 1.1×	17	1.0k
Hatice Çıtakoğlu Türkiye	19	505 0.8×	639 1.2×	312 0.7×	108 0.4×	296 2.0×	43	1.3k
Huiyuan Bian China	10	326 0.5×	630 1.2×	301 0.6×	165 0.7×	67 0.5×	24	1.2k
Jun Guo China	19	653 1.1×	895 1.7×	397 0.8×	381 1.5×	87 0.6×	89	1.8k
Xiangang Luo China	16	259 0.4×	563 1.1×	277 0.6×	137 0.5×	75 0.5×	52	992
Giha Lee South Korea	17	594 1.0×	748 1.4×	637 1.4×	376 1.5×	152 1.0×	82	1.6k
Youngmin Seo South Korea	16	589 1.0×	281 0.5×	389 0.8×	85 0.3×	147 1.0×	38	878

Countries citing papers authored by Xuan-Hien Le

Since Specialization

Citations

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

Fields of papers citing papers by Xuan-Hien Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuan-Hien Le. 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 Xuan-Hien Le. The network helps show where Xuan-Hien Le may publish in the future.

Co-authorship network of co-authors of Xuan-Hien Le

This figure shows the co-authorship network connecting the top 25 collaborators of Xuan-Hien Le. A scholar is included among the top collaborators of Xuan-Hien Le 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 Xuan-Hien Le. Xuan-Hien Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Le, Xuan-Hien, et al.. (2025). Integrating machine learning and empirical approaches for scour depth estimation at sluice gates: evaluating tree-based models, hyperparameter tuning, and proposing new formulas. Journal of Hydrology and Hydromechanics. 73(1). 51–64.

Le, Xuan-Hien, Đoàn Văn Bình, & Giha Lee. (2025). Performance and uncertainty analysis in deep learning frameworks for streamflow forecasting via Monte Carlo dropout technique. Journal of Hydrology Regional Studies. 61. 102668–102668.

Le, Xuan-Hien, et al.. (2025). Convolutional neural networks-driven bias correction of satellite precipitation improves rainfall-runoff-inundation modeling. International Soil and Water Conservation Research. 14(1). 100571–100571.

Le, Xuan-Hien, et al.. (2024). Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets. Journal of Hydroinformatics. 26(7). 1572–1588. 11 indexed citations

Le, Xuan-Hien, et al.. (2024). National variability in soil organic carbon stock predictions: Impact of bulk density pedotransfer functions. International Soil and Water Conservation Research. 12(4). 868–884. 4 indexed citations

Le, Xuan-Hien, et al.. (2024). Predicting maximum scour depth at sluice outlet: a comparative study of machine learning models and empirical equations. Environmental Research Communications. 6(1). 15010–15010. 9 indexed citations

Le, Xuan-Hien, et al.. (2024). Quantitative evaluation of uncertainty and interpretability in machine learning-based landslide susceptibility mapping through feature selection and explainable AI. Frontiers in Environmental Science. 12. 5 indexed citations

Le, Xuan-Hien, et al.. (2024). Advanced hybrid techniques for predicting discharge coefficients in ogee-crested spillways: integrating physical, numerical, and machine learning models. Environmental Research Communications. 6(11). 115002–115002. 1 indexed citations

Lee, Giha, Duc Hai Nguyen, & Xuan-Hien Le. (2023). A Novel Framework for Correcting Satellite-Based Precipitation Products for Watersheds with Discontinuous Observed Data, Case Study in Mekong River Basin. Remote Sensing. 15(3). 630–630. 9 indexed citations

10.

Le, Xuan-Hien, Duc Hai Nguyen, Sungho Jung, & Giha Lee. (2023). Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study. Earth Science Informatics. 16(4). 3113–3124. 8 indexed citations

11.

Le, Xuan-Hien, et al.. (2023). Enhancing Contrast of Dark Satellite Images Based on Fuzzy Semi-Supervised Clustering and an Enhancement Operator. Remote Sensing. 15(6). 1645–1645. 7 indexed citations

12.

Le, Xuan-Hien, et al.. (2023). Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea. Frontiers in Earth Science. 11. 6 indexed citations

13.

Tuấn, Trần Mạnh, Xuan-Hien Le, Nguyễn Thanh Tùng, et al.. (2022). RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning. Axioms. 11(3). 107–107. 29 indexed citations

14.

Le, Xuan-Hien, et al.. (2022). Evaluation of Numerous Kinetic Energy-Rainfall Intensity Equations Using Disdrometer Data. Remote Sensing. 15(1). 156–156. 4 indexed citations

15.

Nguyen, Duc Hai, et al.. (2022). Multi-step-ahead water level forecasting for operating sluice gates in Hai Duong, Vietnam. Environmental Monitoring and Assessment. 194(6). 442–442. 12 indexed citations

16.

Le, Xuan-Hien, et al.. (2021). Investigating Behavior of Six Methods for Sediment Transport Capacity Estimation of Spatial-Temporal Soil Erosion. Water. 13(21). 3054–3054. 4 indexed citations

17.

Le, Xuan-Hien, et al.. (2021). Comparison of Deep Learning Techniques for River Streamflow Forecasting. IEEE Access. 9. 71805–71820. 116 indexed citations

18.

Nguyen, Giang V., et al.. (2021). Application of Random Forest Algorithm for Merging Multiple Satellite Precipitation Products across South Korea. Remote Sensing. 13(20). 4033–4033. 46 indexed citations

19.

Le, Xuan-Hien, et al.. (2019). River streamflow prediction using a deep neural network: a case study on the Red River, Vietnam. Korean Journal of Agricultural Science. 46(4). 843–856. 10 indexed citations

20.

Nguyen, Thien Vuong, Xuan-Hien Le, Phi Hung Dao, Christian Decker, & Phuong Nguyen‐Tri. (2018). Stability of acrylic polyurethane coatings under accelerated aging tests and natural outdoor exposure: The critical role of the used photo-stabilizers. Progress in Organic Coatings. 124. 137–146. 63 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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