Yih‐Chin Tai

1.5k total citations
67 papers, 1.1k citations indexed

About

Yih‐Chin Tai is a scholar working on Management, Monitoring, Policy and Law, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, Yih‐Chin Tai has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Management, Monitoring, Policy and Law, 54 papers in Computational Mechanics and 20 papers in Civil and Structural Engineering. Recurrent topics in Yih‐Chin Tai's work include Landslides and related hazards (56 papers), Granular flow and fluidized beds (38 papers) and Hydrology and Sediment Transport Processes (18 papers). Yih‐Chin Tai is often cited by papers focused on Landslides and related hazards (56 papers), Granular flow and fluidized beds (38 papers) and Hydrology and Sediment Transport Processes (18 papers). Yih‐Chin Tai collaborates with scholars based in Taiwan, Germany and Italy. Yih‐Chin Tai's co-authors include J. M. N. T. Gray, Sebastian Noelle, Luca Sarno, Kolumban Hutter, Yee‐Chung Jin, Armando Carravetta, Riccardo Martino, Maria Nicolina Papa, Tibing Xu and Yongqi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Fluid Mechanics.

In The Last Decade

Yih‐Chin Tai

63 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yih‐Chin Tai Taiwan 16 834 732 325 257 152 67 1.1k
Marina Pirulli Italy 17 924 1.1× 357 0.5× 190 0.6× 375 1.5× 213 1.4× 49 1.0k
Thierry Faug France 23 1.1k 1.4× 549 0.8× 313 1.0× 230 0.9× 465 3.1× 61 1.2k
Mohamed Naaïm France 18 458 0.5× 439 0.6× 73 0.2× 110 0.4× 382 2.5× 43 936
S. Imposimato Italy 15 814 1.0× 276 0.4× 127 0.4× 541 2.1× 164 1.1× 24 1.1k
Andrea Panizzo Italy 12 460 0.6× 400 0.5× 107 0.3× 303 1.2× 127 0.8× 28 870
Siming He China 18 1.1k 1.3× 271 0.4× 280 0.9× 509 2.0× 227 1.5× 78 1.3k
D. Roddeman Italy 10 683 0.8× 242 0.3× 126 0.4× 321 1.2× 158 1.0× 15 786
Maria Nicolina Papa Italy 17 435 0.5× 201 0.3× 195 0.6× 145 0.6× 147 1.0× 53 836
Jan‐Thomas Fischer Austria 17 1.0k 1.2× 256 0.3× 229 0.7× 207 0.8× 525 3.5× 64 1.2k
Irene Manzella Switzerland 12 307 0.4× 171 0.2× 80 0.2× 128 0.5× 213 1.4× 27 668

Countries citing papers authored by Yih‐Chin Tai

Since Specialization
Citations

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

Fields of papers citing papers by Yih‐Chin Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yih‐Chin Tai. 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 Yih‐Chin Tai. The network helps show where Yih‐Chin Tai may publish in the future.

Co-authorship network of co-authors of Yih‐Chin Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Yih‐Chin Tai. A scholar is included among the top collaborators of Yih‐Chin Tai 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 Yih‐Chin Tai. Yih‐Chin Tai 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.
Tai, Yih‐Chin, et al.. (2024). Two-phase approach to modeling the grain-fluid flows with deposition and entrainment over rugged topography. Advances in Water Resources. 188. 104691–104691.
2.
Kan, Heng‐Chuan, et al.. (2024). A Neural Particle Method with Interface Tracking and Adaptive Particle Refinement for Free Surface Flows. Communications in Computational Physics. 36(4). 1021–1052.
3.
Sarno, Luca, Yongqi Wang, Yih‐Chin Tai, Maria Nicolina Papa, & Paolo Villani. (2023). Chute flows of dry granular media: Numerical simulations by a well-posed multilayer model and comparisons with experiments. SHILAP Revista de lepidopterología. 415. 2018–2018. 1 indexed citations
4.
Tai, Yih‐Chin, et al.. (2023). A Preliminary Study of the Seepage Hammer Effect and Its Impacts on the Stability of Layered Infinite Slope. Water. 15(10). 1832–1832. 1 indexed citations
5.
Sarno, Luca, Yongqi Wang, Yih‐Chin Tai, et al.. (2022). A well-posed multilayer model for granular avalanches: Comparisons with laboratory experiments. Physics of Fluids. 34(11). 3 indexed citations
6.
Sarno, Luca, Yih‐Chin Tai, Yongqi Wang, & Martin Oberlack. (2021). A well-posed multilayer model for granular avalanches with μ(I) rheology. Physics of Fluids. 33(10). 10 indexed citations
7.
Tai, Yih‐Chin, et al.. (2020). Multi-Mesh-Scale Approximation of Thin Geophysical Mass Flows on Complex Topographies. Communications in Computational Physics. 29(1). 148–185. 2 indexed citations
8.
Jin, Yee‐Chung, et al.. (2020). A numerical and experimental investigation of wave generated by submerged landslides. Ocean Engineering. 218. 108203–108203. 11 indexed citations
9.
Tai, Yih‐Chin, et al.. (2019). Hydro-mechanical response with respect to the air ventilation for water filtration in homogeneous soil. Journal of Mountain Science. 16(11). 2562–2576. 1 indexed citations
10.
Jin, Yee‐Chung, et al.. (2019). Rheometry of dense granular collapse on inclined planes. Granular Matter. 21(3). 8 indexed citations
11.
Xu, Tibing, Yee‐Chung Jin, Yih‐Chin Tai, & Chunhua Lü. (2017). Simulation of velocity and shear stress distributions in granular column collapses by a mesh-free method. Journal of Non-Newtonian Fluid Mechanics. 247. 146–164. 31 indexed citations
12.
Sarno, Luca, Armando Carravetta, Riccardo Martino, Maria Nicolina Papa, & Yih‐Chin Tai. (2016). Some considerations on numerical schemes for treating hyperbolicity issues in two-layer models. Advances in Water Resources. 100. 183–198. 22 indexed citations
13.
Sarno, Luca, Armando Carravetta, Riccardo Martino, & Yih‐Chin Tai. (2013). Pressure Coefficient in Dam-Break Flows of Dry Granular Matter. Journal of Hydraulic Engineering. 139(11). 1126–1133. 20 indexed citations
14.
Tai, Yih‐Chin, et al.. (2012). A two-phase model for dry density-varying granular flows. Advanced Powder Technology. 24(1). 132–142. 6 indexed citations
15.
Hutter, Kolumban, et al.. (2012). Modeling Shallow Over-Saturated Mixtures on Arbitrary Rigid Topography. Journal of Mechanics. 28(3). 523–541. 9 indexed citations
16.
Tai, Yih‐Chin, Kuo-Jen Chang, Jia‐Jyun Dong, et al.. (2011). The landslide stage of the Hsiaolin catastrophe: Simulation and validation. Journal of Geophysical Research Atmospheres. 116(F4). 38 indexed citations
17.
Tai, Yih‐Chin, et al.. (2009). NON-CARTESIAN, TOPOGRAPHY-BASED AVALANCHE EQUATIONS AND APPROXIMATIONS OF GRAVITY DRIVEN FLOWS OF IDEAL AND VISCOUS FLUIDS. Mathematical Models and Methods in Applied Sciences. 19(1). 127–171. 11 indexed citations
18.
Gray, J. M. N. T., Yih‐Chin Tai, & Sebastian Noelle. (2003). Shock waves, dead zones and particle-free regions in rapid granular free-surface flows. Journal of Fluid Mechanics. 491. 161–181. 255 indexed citations
19.
Tai, Yih‐Chin, J. M. N. T. Gray, Kolumban Hutter, & Sebastian Noelle. (2001). Flow of dense avalanches past obstructions. Annals of Glaciology. 32. 281–284. 51 indexed citations
20.
Tai, Yih‐Chin & J. M. N. T. Gray. (1998). Limiting stress states in granular avalanches. Annals of Glaciology. 26. 272–276. 10 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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