Xiaoyan He

1.0k total citations · 1 hit paper
25 papers, 784 citations indexed

About

Xiaoyan He is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xiaoyan He has authored 25 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 16 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Xiaoyan He's work include Hydrology and Watershed Management Studies (20 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (10 papers). Xiaoyan He is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Flood Risk Assessment and Management (12 papers) and Hydrological Forecasting Using AI (10 papers). Xiaoyan He collaborates with scholars based in China, United States and Ghana. Xiaoyan He's co-authors include Guangyuan Kan, Liuqian Ding, Ke Liang, Minglei Ren, F. Wang, Haijun Yu, Jiren Li, Gang Wang, Wei Shao and Dawei Zhang and has published in prestigious journals such as Applied Energy, Sustainability and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Xiaoyan He

24 papers receiving 768 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.

Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series

2020 274 citations F. Wang, Wei Shao et al. Frontiers in Earth Science profile →

Peers

Xiaoyan He

GPC

WST

EE

AS

OE

Farshad Fathian Iran

Liuqian Ding China

S. Samadi United States

Tao-Chang Yang Taiwan

Babak Vaheddoost Türkiye

Darshan Mehta India

Steven Weijs Canada

Vivek Gupta India

Jiren Li China

Majid Mirzaei Malaysia

Farshad Fathian Iran

Xiaoyan He

612 ×1.3

GPC

383 ×0.9

WST

386 ×1.3

EE

140 ×0.8

AS

87 ×1.2

OE

Citations per year, relative to Xiaoyan He Xiaoyan He (= 1×) peers Farshad Fathian

Countries citing papers authored by Xiaoyan He

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyan He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan He

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

1.

He, Xiaoyan, et al.. (2025). Study on the Flood Season Staging of the Altash Water Control Project in Xinjiang. Sustainability. 17(6). 2716–2716.

2.

Kan, Guangyuan, et al.. (2023). Improving the Performance of Hydrological Model Parameter Uncertainty Analysis Using a Constrained Multi-Objective Intelligent Optimization Algorithm. Water. 15(15). 2700–2700. 1 indexed citations

3.

Zhang, Zhongbo, et al.. (2021). Study on flood control projects joint flood control operation of The Daqing river basin. IOP Conference Series Earth and Environmental Science. 826(1). 12007–12007. 2 indexed citations

4.

Wang, F., Wei Shao, Haijun Yu, et al.. (2020). Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series. Frontiers in Earth Science. 8. 274 indexed citations breakdown →

5.

Kan, Guangyuan, Ke Liang, Haijun Yu, et al.. (2020). Hybrid machine learning hydrological model for flood forecast purpose. Open Geosciences. 12(1). 813–820. 26 indexed citations

6.

Kan, Guangyuan, Xiaoyan He, Liuqian Ding, et al.. (2019). Heterogeneous parallel computing accelerated generalized likelihood uncertainty estimation (GLUE) method for fast hydrological model uncertainty analysis purpose. Engineering With Computers. 36(1). 75–96. 14 indexed citations

7.

Jiang, Xiaoming, et al.. (2018). Real-Time Flood Forecasting and Regulation System of Poyanghu Lake Basin in China. EPiC series in engineering. 3. 2368–2360. 2 indexed citations

8.

He, Xiaoyan, Guangyuan Kan, F. Wang, et al.. (2017). A Comparison of Flood Control Standards for Reservoir Engineering for Different Countries. Water. 9(3). 152–152. 23 indexed citations

9.

Kan, Guangyuan, Xiaoyan He, Liuqian Ding, et al.. (2017). Fast hydrological model calibration based on the heterogeneous parallel computing accelerated shuffled complex evolution method. Engineering Optimization. 50(1). 106–119. 21 indexed citations

10.

Kan, Guangyuan, Guoqiang Tang, Yuan Yang, et al.. (2017). An Improved Coupled Routing and Excess Storage (CREST) Distributed Hydrological Model and Its Verification in Ganjiang River Basin, China. Water. 9(11). 904–904. 18 indexed citations

11.

Kan, Guangyuan, et al.. (2017). A heterogeneous computing accelerated SCE-UA global optimization method using OpenMP, OpenCL, CUDA, and OpenACC. Water Science & Technology. 76(7). 1640–1651. 14 indexed citations

12.

Kan, Guangyuan, Xiaoyan He, Liuqian Ding, et al.. (2017). Study on Applicability of Conceptual Hydrological Models for Flood Forecasting in Humid, Semi-Humid Semi-Arid and Arid Basins in China. Water. 9(10). 719–719. 41 indexed citations

13.

Kan, Guangyuan, Xiaoyan He, Jiren Li, et al.. (2017). Computer Aided Numerical Methods for Hydrological Model Calibration: An Overview and Recent Development. Archives of Computational Methods in Engineering. 26(1). 35–59. 45 indexed citations

14.

Zhang, Zhongbo, Xiaoyan He, Shuanghu Zhang, et al.. (2017). An Improved “Dynamic Control Operation Module” for Cascade Reservoirs. Water Resources Management. 32(2). 449–464. 7 indexed citations

15.

Wang, Gang, Denghua Yan, Xiaoyan He, et al.. (2017). Trends in extreme temperature indices in Huang-Huai-Hai River Basin of China during 1961–2014. Theoretical and Applied Climatology. 134(1-2). 51–65. 22 indexed citations

16.

Kan, Guangyuan, Jiren Li, Xingnan Zhang, et al.. (2016). A new hybrid data-driven model for event-based rainfall–runoff simulation. Neural Computing and Applications. 28(9). 2519–2534. 41 indexed citations

17.

Lei, Tianjie, Ke Liang, Jiren Li, et al.. (2016). A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach. IEEE Transactions on Parallel and Distributed Systems. 1–1. 32 indexed citations

18.

Kan, Guangyuan, Xiaoyan He, Liuqian Ding, et al.. (2016). An improved hybrid data-driven model and its application in daily rainfall-runoff simulation. IOP Conference Series Earth and Environmental Science. 46. 12029–12029. 9 indexed citations

19.

Zhang, Dawei, Quan Jin, Hongbin Zhang, et al.. (2015). Flash flood hazard mapping: A pilot case study in Xiapu River Basin, China. Water Science and Engineering. 8(3). 195–204. 39 indexed citations

20.

He, Xiaoyan, et al.. (2014). The Construction Of Monitoring And Warning System For Flash Flood Defense In China. CUNY Academic Works (City University of New York). 2 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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