Tao-Chang Yang

833 total citations
18 papers, 697 citations indexed

About

Tao-Chang Yang is a scholar working on Global and Planetary Change, Water Science and Technology and Ocean Engineering. According to data from OpenAlex, Tao-Chang Yang has authored 18 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 6 papers in Ocean Engineering. Recurrent topics in Tao-Chang Yang's work include Hydrology and Watershed Management Studies (9 papers), Hydrology and Drought Analysis (8 papers) and Hydrological Forecasting Using AI (6 papers). Tao-Chang Yang is often cited by papers focused on Hydrology and Watershed Management Studies (9 papers), Hydrology and Drought Analysis (8 papers) and Hydrological Forecasting Using AI (6 papers). Tao-Chang Yang collaborates with scholars based in Taiwan and Vietnam. Tao-Chang Yang's co-authors include Pao‐Shan Yu, Chen-Min Kuo, Hung-Wei Tseng, Chun‐Chao Kuo, Quoc Bao Pham, Shien‐Tsung Chen and Yu-Chi Wang and has published in prestigious journals such as Journal of Hydrology, Applied Sciences and Natural Hazards.

In The Last Decade

Tao-Chang Yang

18 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
Tao-Chang Yang Taiwan 13 424 290 263 173 71 18 697
Mohammad Sajjad Khan Canada 5 460 1.1× 328 1.1× 346 1.3× 202 1.2× 80 1.1× 5 744
Hirad Abghari Iran 12 460 1.1× 291 1.0× 307 1.2× 99 0.6× 67 0.9× 23 689
Bagher Shirmohammadi Iran 10 363 0.9× 449 1.5× 272 1.0× 113 0.7× 95 1.3× 11 754
S. Samadi United States 18 519 1.2× 311 1.1× 359 1.4× 173 1.0× 35 0.5× 37 782
Xiaoyan He China 15 478 1.1× 301 1.0× 421 1.6× 179 1.0× 32 0.5× 25 784
Lu‐Hsien Chen Taiwan 11 293 0.7× 405 1.4× 255 1.0× 132 0.8× 88 1.2× 14 646
Yen‐Ming Chiang Taiwan 12 396 0.9× 498 1.7× 384 1.5× 211 1.2× 101 1.4× 24 779
Schalk Jan van Andel Netherlands 15 540 1.3× 193 0.7× 416 1.6× 234 1.4× 35 0.5× 34 770
Haibo Chu China 14 251 0.6× 345 1.2× 258 1.0× 96 0.6× 72 1.0× 29 581
D. Nalley Canada 8 523 1.2× 320 1.1× 292 1.1× 206 1.2× 53 0.7× 13 760

Countries citing papers authored by Tao-Chang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Tao-Chang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tao-Chang 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 Tao-Chang Yang. The network helps show where Tao-Chang Yang may publish in the future.

Co-authorship network of co-authors of Tao-Chang Yang

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

All Works

18 of 18 papers shown
1.
Pham, Quoc Bao, Tao-Chang Yang, Chen-Min Kuo, Hung-Wei Tseng, & Pao‐Shan Yu. (2021). Coupling Singular Spectrum Analysis with Least Square Support Vector Machine to Improve Accuracy of SPI Drought Forecasting. Water Resources Management. 35(3). 847–868. 39 indexed citations
2.
Yang, Tao-Chang, et al.. (2020). Linking Singular Spectrum Analysis and Machine Learning for Monthly Rainfall Forecasting. Applied Sciences. 10(9). 3224–3224. 31 indexed citations
3.
Pham, Quoc Bao, Tao-Chang Yang, Chen-Min Kuo, Hung-Wei Tseng, & Pao‐Shan Yu. (2019). Combing Random Forest and Least Square Support Vector Regression for Improving Extreme Rainfall Downscaling. Water. 11(3). 451–451. 58 indexed citations
4.
Yu, Pao‐Shan, et al.. (2017). Comparison of random forests and support vector machine for real-time radar-derived rainfall forecasting. Journal of Hydrology. 552. 92–104. 191 indexed citations
5.
Yu, Pao‐Shan, et al.. (2015). Integration of Physiographic Drainage-Inundation Model and Nondominated Sorting Genetic Algorithm for Detention-Pond Optimization. Journal of Water Resources Planning and Management. 141(11). 9 indexed citations
6.
Yu, Pao‐Shan, et al.. (2014). Climate change impacts on reservoir inflows and subsequent hydroelectric power generation for cascaded hydropower plants. Hydrological Sciences Journal. 59(6). 1196–1212. 13 indexed citations
7.
Yu, Pao‐Shan, Tao-Chang Yang, Chen-Min Kuo, Hung-Wei Tseng, & Shien‐Tsung Chen. (2014). Climate Change Impacts on Streamflow Drought: A Case Study in Tseng-Wen Reservoir Catchment in Southern Taiwan. Climate. 3(1). 42–62. 7 indexed citations
8.
Yu, Pao‐Shan, et al.. (2014). A Stochastic Approach for Seasonal Water-Shortage Probability Forecasting Based on Seasonal Weather Outlook. Water Resources Management. 28(12). 3905–3920. 13 indexed citations
9.
Yang, Tao-Chang, et al.. (2013). Effects of Domain Selection on Singular-Value-Decomposition Based Statistical Downscaling of Monthly Rainfall Accumulation in Southern Taiwan. Terrestrial Atmospheric and Oceanic Sciences. 24(3). 369–369. 4 indexed citations
10.
Chen, Shien‐Tsung, et al.. (2013). Probabilistic Drought Forecasting in Southern Taiwan Using El Niño-Southern Oscillation Index. Terrestrial Atmospheric and Oceanic Sciences. 24(5). 911–911. 14 indexed citations
11.
Yu, Pao‐Shan, Tao-Chang Yang, Chen-Min Kuo, & Shien‐Tsung Chen. (2013). Development of an integrated computational tool to assess climate change impacts on water supply–demand and flood inundation. Journal of Hydroinformatics. 16(3). 710–730. 11 indexed citations
12.
Wang, Yu-Chi, et al.. (2006). OPTIMUM USE OF PADDY FIELDS FOR FLOOD MITIGATION. JAWRA Journal of the American Water Resources Association. 42(2). 375–386. 5 indexed citations
13.
Yang, Tao-Chang & Pao‐Shan Yu. (2006). Application of Fuzzy Multi-Objective Function on Reducing Groundwater Demand for Aquaculture in Land-Subsidence Areas. Water Resources Management. 20(3). 377–390. 12 indexed citations
14.
Yu, Pao‐Shan, Tao-Chang Yang, & Chun‐Chao Kuo. (2006). Evaluating Long-Term Trends in Annual and Seasonal Precipitation in Taiwan. Water Resources Management. 20(6). 1007–1023. 78 indexed citations
15.
Yu, Pao‐Shan, et al.. (2005). The Potential of Fuzzy Multi-objective Model for Rainfall Forecasting from Typhoons. Natural Hazards. 34(2). 131–150. 13 indexed citations
16.
Yu, Pao‐Shan, et al.. (2004). Regional rainfall intensity formulas based on scaling property of rainfall. Journal of Hydrology. 295(1-4). 108–123. 105 indexed citations
17.
Yang, Tao-Chang, Pao‐Shan Yu, Chen-Min Kuo, & Yu-Chi Wang. (2004). Application of Fuzzy Multiobjective Function on Storm-Event Rainfall-Runoff Model Calibration. Journal of Hydrologic Engineering. 9(5). 440–445. 12 indexed citations
18.
Yu, Pao‐Shan & Tao-Chang Yang. (2000). Fuzzy multi-objective function for rainfall-runoff model calibration. Journal of Hydrology. 238(1-2). 1–14. 82 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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