Jinn‐Chuang Yang

899 total citations
45 papers, 706 citations indexed

About

Jinn‐Chuang Yang is a scholar working on Civil and Structural Engineering, Global and Planetary Change and Computational Mechanics. According to data from OpenAlex, Jinn‐Chuang Yang has authored 45 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Civil and Structural Engineering, 14 papers in Global and Planetary Change and 13 papers in Computational Mechanics. Recurrent topics in Jinn‐Chuang Yang's work include Hydrology and Sediment Transport Processes (12 papers), Computational Fluid Dynamics and Aerodynamics (10 papers) and Flood Risk Assessment and Management (9 papers). Jinn‐Chuang Yang is often cited by papers focused on Hydrology and Sediment Transport Processes (12 papers), Computational Fluid Dynamics and Aerodynamics (10 papers) and Flood Risk Assessment and Management (9 papers). Jinn‐Chuang Yang collaborates with scholars based in Taiwan, United States and Hong Kong. Jinn‐Chuang Yang's co-authors include Tung‐Lin Tsai, Yeou‐Koung Tung, Shiang‐Jen Wu, Hung‐En Chen, Hong‐Yuan Lee, H. P. Hsieh, Chien‐Hua Chen, Chih Ted Yang, Che-Hao Chang and Ka Lok Chiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hydrological Processes and Advances in Water Resources.

In The Last Decade

Jinn‐Chuang Yang

44 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinn‐Chuang Yang Taiwan 16 284 206 192 157 126 45 706
Tung‐Lin Tsai Taiwan 15 355 1.3× 63 0.3× 399 2.1× 42 0.3× 42 0.3× 33 680
Laurent Peyras France 20 827 2.9× 132 0.6× 174 0.9× 63 0.4× 215 1.7× 85 1.1k
Peihua Xu China 16 146 0.5× 302 1.5× 469 2.4× 122 0.8× 36 0.3× 34 810
Bo Xiang China 13 66 0.2× 154 0.7× 120 0.6× 47 0.3× 51 0.4× 46 481
Jian Guo China 16 320 1.1× 144 0.7× 652 3.4× 15 0.1× 130 1.0× 48 885
Lixiang Song China 15 96 0.3× 467 2.3× 47 0.2× 332 2.1× 120 1.0× 31 861
Xiaojun Guo China 17 227 0.8× 707 3.4× 911 4.7× 51 0.3× 268 2.1× 50 1.3k
Saeed Reza Khodashenas Iran 14 289 1.0× 96 0.5× 40 0.2× 134 0.9× 250 2.0× 46 547
N. Erdem Ünal Türkiye 17 254 0.9× 194 0.9× 23 0.1× 270 1.7× 155 1.2× 30 1.2k
Francesco Macchione Italy 22 317 1.1× 1.0k 4.9× 60 0.3× 589 3.8× 300 2.4× 48 1.3k

Countries citing papers authored by Jinn‐Chuang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jinn‐Chuang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jinn‐Chuang Yang. 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 Jinn‐Chuang Yang. The network helps show where Jinn‐Chuang Yang may publish in the future.

Co-authorship network of co-authors of Jinn‐Chuang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinn‐Chuang Yang. A scholar is included among the top collaborators of Jinn‐Chuang Yang 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 Jinn‐Chuang Yang. Jinn‐Chuang Yang 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.
Chang, Che-Hao, et al.. (2018). Physical-based rainfall-triggered shallow landslide forecasting. SHILAP Revista de lepidopterología. 3(1). 17 indexed citations
2.
Tsai, Tung‐Lin, et al.. (2018). Flood hazard mitigation in land subsidence prone coastal areas by optimal groundwater pumping. Journal of Flood Risk Management. 12(S2). 4 indexed citations
3.
Chen, Chien‐Hua, et al.. (2017). Investigating effect of water level variation and surface tension crack on riverbank stability. Journal of Hydro-environment Research. 15. 41–53. 15 indexed citations
4.
Yang, Jinn‐Chuang, et al.. (2016). Models for effective sluicing of turbidity-currents in reservoirs. 868–874. 1 indexed citations
5.
Hsieh, H. P., et al.. (2013). Numerical study of the effects of check dams on erosion and sedimentation in the Pachang River. International Journal of Sediment Research. 28(3). 304–315. 9 indexed citations
6.
Tsai, Tung‐Lin, et al.. (2010). Conjunction effect of stream water level and groundwater flow for riverbank stability analysis. Environmental Earth Sciences. 62(4). 707–715. 14 indexed citations
7.
Wu, Shiang‐Jen, Jinn‐Chuang Yang, & Yeou‐Koung Tung. (2010). Risk analysis for flood-control structure under consideration of uncertainties in design flood. Natural Hazards. 58(1). 117–140. 44 indexed citations
8.
Yang, Jinn‐Chuang, et al.. (2008). An analytical method of stage–fall–discharge rating. Hydrological Processes. 22(16). 2959–2973. 7 indexed citations
9.
Yang, Jinn‐Chuang, et al.. (2007). Stochastically Optimal Groundwater Management Considering Land Subsidence. Journal of Water Resources Planning and Management. 133(6). 486–498. 11 indexed citations
10.
Tsai, Tung‐Lin & Jinn‐Chuang Yang. (2006). Modeling of rainfall-triggered shallow landslide. Environmental Geology. 50(4). 525–534. 79 indexed citations
11.
Tung, Yeou‐Koung, et al.. (2006). Stochastic generation of hourly rainstorm events. Stochastic Environmental Research and Risk Assessment. 21(2). 195–212. 39 indexed citations
12.
Wu, Shiang‐Jen, Jinn‐Chuang Yang, & Yeou‐Koung Tung. (2005). Identification and stochastic generation of representative rainfall temporal patterns in Hong Kong territory. Stochastic Environmental Research and Risk Assessment. 20(3). 171–183. 29 indexed citations
13.
Yang, Jinn‐Chuang, et al.. (2005). Numerical examination on the secondary-current effect for contaminant transport in curved channel. Journal of Hydraulic Research. 43(6). 644–659. 3 indexed citations
14.
Tsai, Tung‐Lin & Jinn‐Chuang Yang. (2005). Kinematic wave modeling of overland flow using characteristics method with cubic-spline interpolation. Advances in Water Resources. 28(7). 661–670. 25 indexed citations
15.
Tsai, Tung‐Lin, et al.. (2004). Characteristics Method Using Cubic–Spline Interpolation for Advection–Diffusion Equation. Journal of Hydraulic Engineering. 130(6). 580–585. 21 indexed citations
16.
Tung, Yeou‐Koung & Jinn‐Chuang Yang. (2001). Sensitivity and uncertainty analysis of sediment transport model. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1 indexed citations
17.
Yang, Jinn‐Chuang, et al.. (1997). Uncertainty Analysis by Point Estimate Methods Incorporating Marginal Distributions. Journal of Hydraulic Engineering. 123(3). 244–250. 38 indexed citations
18.
Tung, Yeou‐Koung, et al.. (1995). Closure to “Monte Carlo Simulation for Correlated Variables with Marginal Distributions” by Che‐Hao Chang, Yeou‐Koung Tung, and Jinn‐Chuang Yang. Journal of Hydraulic Engineering. 121(7). 573–573. 1 indexed citations
19.
Tung, Yeou‐Koung & Jinn‐Chuang Yang. (1994). Probabilistic evaluations of economic merit of water resource projects. Water Resources Management. 8(3). 203–223. 6 indexed citations
20.
Tung, Yeou‐Koung, et al.. (1994). Monte Carlo Simulation for Correlated Variables with Marginal Distributions. Journal of Hydraulic Engineering. 120(3). 313–331. 74 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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