Jing-En Xiao

655 total citations
41 papers, 505 citations indexed

About

Jing-En Xiao is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Oceanography. According to data from OpenAlex, Jing-En Xiao has authored 41 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanics of Materials, 17 papers in Civil and Structural Engineering and 11 papers in Oceanography. Recurrent topics in Jing-En Xiao's work include Numerical methods in engineering (23 papers), Dam Engineering and Safety (12 papers) and Geotechnical Engineering and Underground Structures (9 papers). Jing-En Xiao is often cited by papers focused on Numerical methods in engineering (23 papers), Dam Engineering and Safety (12 papers) and Geotechnical Engineering and Underground Structures (9 papers). Jing-En Xiao collaborates with scholars based in Taiwan, China and United States. Jing-En Xiao's co-authors include Cheng‐Yu Ku, Chih‐Yu Liu, Dongxiao Wang, Qiang Xie, Yeqiang Shu, Weichung Yeih, Huijie Xue, Jinglong Yao, Fei Chai and Yongqiang Yu and has published in prestigious journals such as The Science of The Total Environment, Water Research and Scientific Reports.

In The Last Decade

Jing-En Xiao

40 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing-En Xiao Taiwan 14 226 117 112 106 105 41 505
Zhuangcai Tian China 12 217 1.0× 59 0.5× 53 0.5× 80 0.8× 14 0.1× 41 440
Wu‐Cheng Chi Taiwan 16 92 0.4× 223 1.9× 46 0.4× 123 1.2× 68 0.6× 61 818
Sara Bazin France 17 66 0.3× 24 0.2× 72 0.6× 196 1.8× 45 0.4× 62 1.0k
Jean-Louis Colliat France 11 39 0.2× 185 1.6× 122 1.1× 134 1.3× 82 0.8× 22 540
Angel Ruiz‐Angulo Mexico 15 202 0.9× 17 0.1× 26 0.2× 172 1.6× 152 1.4× 40 569
Nicola Cenni Italy 18 94 0.4× 24 0.2× 88 0.8× 107 1.0× 49 0.5× 58 860
Matteo Lupi Switzerland 20 33 0.1× 97 0.8× 21 0.2× 91 0.9× 35 0.3× 72 1.0k
Jihwan Kim Portugal 10 62 0.3× 13 0.1× 76 0.7× 125 1.2× 26 0.2× 24 538
Annette R. Grilli United States 13 79 0.3× 7 0.1× 87 0.8× 168 1.6× 77 0.7× 43 599
Eric O. Lindsey United States 21 71 0.3× 27 0.2× 70 0.6× 82 0.8× 58 0.6× 42 1.4k

Countries citing papers authored by Jing-En Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Jing-En Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing-En Xiao. 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 Jing-En Xiao. The network helps show where Jing-En Xiao may publish in the future.

Co-authorship network of co-authors of Jing-En Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Jing-En Xiao. A scholar is included among the top collaborators of Jing-En Xiao 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 Jing-En Xiao. Jing-En Xiao 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
1.
Shen, Anwen, Yongzheng Ma, Zhiguang Niu, et al.. (2025). RFAGB model: A new machine learning model for microplastic inversion based on remotely sensed data in Bohai Sea. Water Research. 287(Pt B). 124490–124490.
2.
Xiao, Jing-En, Hongtao Liu, Zhiguang Niu, et al.. (2023). An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea. The Science of The Total Environment. 909. 168537–168537. 10 indexed citations
3.
Xiao, Jing-En, Cheng‐Yu Ku, & Chih‐Yu Liu. (2022). Solving Inverse Problems of Stationary Convection–Diffusion Equation Using the Radial Basis Function Method with Polyharmonic Polynomials. Applied Sciences. 12(9). 4294–4294. 1 indexed citations
4.
Ku, Cheng‐Yu, et al.. (2021). Modeling Transient Flows in Heterogeneous Layered Porous Media Using the Space–Time Trefftz Method. Applied Sciences. 11(8). 3421–3421. 6 indexed citations
5.
Ku, Cheng‐Yu & Jing-En Xiao. (2020). A Collocation Method Using Radial Polynomials for Solving Partial Differential Equations. Symmetry. 12(9). 1419–1419. 1 indexed citations
6.
Ku, Cheng‐Yu, Chih‐Yu Liu, Jing-En Xiao, & Ming‐Ren Chen. (2020). Solving Backward Heat Conduction Problems Using a Novel Space–Time Radial Polynomial Basis Function Collocation Method. Applied Sciences. 10(9). 3215–3215. 5 indexed citations
7.
Ku, Cheng‐Yu, Jing-En Xiao, & Chih‐Yu Liu. (2020). Space–Time Radial Basis Function–Based Meshless Approach for Solving Convection–Diffusion Equations. Mathematics. 8(10). 1735–1735. 3 indexed citations
8.
Ku, Cheng‐Yu, Chih‐Yu Liu, Jing-En Xiao, & Shih‐Meng Hsu. (2020). Multiquadrics without the Shape Parameter for Solving Partial Differential Equations. Symmetry. 12(11). 1813–1813. 8 indexed citations
9.
Ku, Cheng‐Yu, Jing-En Xiao, & Chih‐Yu Liu. (2020). A Novel Meshfree Approach with a Radial Polynomial for Solving Nonhomogeneous Partial Differential Equations. Mathematics. 8(2). 270–270. 2 indexed citations
10.
Ku, Cheng‐Yu, et al.. (2019). On Solving Two-Dimensional Inverse Heat Conduction Problems Using the Multiple Source Meshless Method. Applied Sciences. 9(13). 2629–2629. 5 indexed citations
11.
Ku, Cheng‐Yu, Jing-En Xiao, Weichung Yeih, & Chih‐Yu Liu. (2019). On Solving Modified Helmholtz Equation in Layered Materials Using the Multiple Source Meshfree Approach. Mathematics. 7(11). 1114–1114. 2 indexed citations
12.
Ku, Cheng‐Yu, Jing-En Xiao, & Chih‐Yu Liu. (2019). On Solving Nonlinear Moving Boundary Problems with Heterogeneity Using the Collocation Meshless Method. Water. 11(4). 835–835. 8 indexed citations
13.
Ku, Cheng‐Yu, Chih‐Yu Liu, Jing-En Xiao, Weichung Yeih, & Chia‐Ming Fan. (2019). A Spacetime Meshless Method for Modeling Subsurface Flow with a Transient Moving Boundary. Water. 11(12). 2595–2595. 7 indexed citations
14.
Ku, Cheng‐Yu, Jing-En Xiao, & Chih‐Yu Liu. (2019). The Method of Fundamental Solutions for Three-Dimensional Nonlinear Free Surface Flows Using the Iterative Scheme. Applied Sciences. 9(8). 1715–1715. 2 indexed citations
15.
Xiao, Jing-En, et al.. (2018). A Novel Hybrid Boundary-Type Meshless Method for Solving Heat Conduction Problems in Layered Materials. Applied Sciences. 8(10). 1887–1887. 5 indexed citations
16.
Xiao, Jing-En, Cheng‐Yu Ku, Chih‐Yu Liu, & Weichung Yeih. (2018). A Novel Boundary-Type Meshless Method for Modeling Geofluid Flow in Heterogeneous Geological Media. Geofluids. 2018. 1–13. 8 indexed citations
17.
Ku, Cheng‐Yu, Chih‐Yu Liu, Yan Su, & Jing-En Xiao. (2018). Modeling of Transient Flow in Unsaturated Geomaterials for Rainfall-Induced Landslides Using a Novel Spacetime Collocation Method. Geofluids. 2018. 1–16. 16 indexed citations
18.
Ku, Cheng‐Yu, Chih‐Yu Liu, Jing-En Xiao, & Weichung Yeih. (2017). Transient Modeling of Flow in Unsaturated Soils Using a Novel Collocation Meshless Method. Water. 9(12). 954–954. 15 indexed citations
19.
Wang, Dongxiao, Jing-En Xiao, Yeqiang Shu, et al.. (2016). Progress on deep circulation and meridional overturning circulation in the South China Sea. Science China Earth Sciences. 59(9). 1827–1833. 24 indexed citations
20.
Xiao, Jing-En, Qiang Xie, Dongxiao Wang, et al.. (2016). On the near-inertial variations of meridional overturning circulation in the South China Sea. Ocean science. 12(1). 335–344. 13 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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