Chih‐Chieh Young

877 total citations
34 papers, 681 citations indexed

About

Chih‐Chieh Young is a scholar working on Oceanography, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Chih‐Chieh Young has authored 34 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oceanography, 17 papers in Atmospheric Science and 15 papers in Earth-Surface Processes. Recurrent topics in Chih‐Chieh Young's work include Ocean Waves and Remote Sensing (16 papers), Coastal and Marine Dynamics (15 papers) and Tropical and Extratropical Cyclones Research (13 papers). Chih‐Chieh Young is often cited by papers focused on Ocean Waves and Remote Sensing (16 papers), Coastal and Marine Dynamics (15 papers) and Tropical and Extratropical Cyclones Research (13 papers). Chih‐Chieh Young collaborates with scholars based in Taiwan, United States and United Kingdom. Chih‐Chieh Young's co-authors include Wen‐Cheng Liu, Chin H. Wu, Ming‐Chang Wu, Jan‐Tai Kuo, Yu‐Heng Tseng, Chian‐Yi Liu, Qin Chen, Patrick Lynett, Mao‐Lin Shen and Tai‐Wen Hsu and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Chih‐Chieh Young

34 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih‐Chieh Young Taiwan 15 259 254 251 231 223 34 681
David C. Mason United Kingdom 14 205 0.8× 584 2.3× 312 1.2× 99 0.4× 336 1.5× 34 920
Xianqing Lv China 19 160 0.6× 326 1.3× 64 0.3× 1.0k 4.4× 473 2.1× 158 1.4k
Haidong Pan China 17 172 0.7× 229 0.9× 66 0.3× 516 2.2× 210 0.9× 56 775
John Kalogiros Greece 21 350 1.4× 717 2.8× 229 0.9× 117 0.5× 901 4.0× 73 1.2k
Qiankun Zhu China 18 121 0.5× 324 1.3× 162 0.6× 772 3.3× 248 1.1× 105 1.1k
Helmut Schiller Germany 10 198 0.8× 287 1.1× 289 1.2× 872 3.8× 247 1.1× 23 1.2k
Ramona Pelich Luxembourg 14 172 0.7× 494 1.9× 197 0.8× 124 0.5× 296 1.3× 39 899
P.F. Crapper Australia 11 222 0.9× 214 0.8× 152 0.6× 79 0.3× 198 0.9× 22 708
Xinguang He China 16 238 0.9× 406 1.6× 168 0.7× 45 0.2× 250 1.1× 53 736
P. Malguzzi Italy 24 152 0.6× 1.2k 4.9× 153 0.6× 421 1.8× 1.4k 6.3× 67 1.7k

Countries citing papers authored by Chih‐Chieh Young

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Chieh Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Chieh Young. 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 Chih‐Chieh Young. The network helps show where Chih‐Chieh Young may publish in the future.

Co-authorship network of co-authors of Chih‐Chieh Young

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Chieh Young. A scholar is included among the top collaborators of Chih‐Chieh Young 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 Chih‐Chieh Young. Chih‐Chieh Young 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.
Young, Chih‐Chieh, et al.. (2024). Accurate reconstruction of satellite-derived SST under cloud and cloud-free areas using a physically-informed machine learning approach. Remote Sensing of Environment. 313. 114339–114339. 4 indexed citations
2.
Young, Chih‐Chieh, Wen‐Cheng Liu, & Hongming Liu. (2023). Uncertainty assessment for three-dimensional hydrodynamic and fecal coliform modeling in the Danshuei River estuarine system: The influence of first-order parametric decay reaction. Marine Pollution Bulletin. 193. 115220–115220. 5 indexed citations
3.
Young, Chih‐Chieh, et al.. (2022). Accurate Storm Surge Prediction with a Parametric Cyclone and Neural Network Hybrid Model. Water. 14(1). 96–96. 8 indexed citations
5.
Liu, Wen‐Cheng, et al.. (2022). Uncertainty Analysis for Image-Based Streamflow Measurement: The Influence of Ground Control Points. Water. 15(1). 123–123. 5 indexed citations
6.
Young, Chih‐Chieh, et al.. (2020). Simulation of Ocean Circulation of Dongsha Water Using Non-Hydrostatic Shallow-Water Model. Water. 12(10). 2832–2832. 6 indexed citations
7.
8.
Young, Chih‐Chieh, Chin H. Wu, & Tai‐Wen Hsu. (2020). The Role of Non-Hydrostatic Effects in Nonlinear Dispersive Wave Modeling. Water. 12(12). 3513–3513. 2 indexed citations
9.
Yen, Haw, Ruoyu Wang, Qingyu Feng, et al.. (2018). Input uncertainty on watershed modeling: Evaluation of precipitation and air temperature data by latent variables using SWAT. Ecological Engineering. 122. 16–26. 18 indexed citations
10.
Young, Chih‐Chieh, Wen‐Cheng Liu, & Ming‐Chang Wu. (2017). A physically based and machine learning hybrid approach for accurate rainfall-runoff modeling during extreme typhoon events. Applied Soft Computing. 53. 205–216. 123 indexed citations
11.
Chow, Chun Hoe, Yu‐Heng Tseng, Huang‐Hsiung Hsu, & Chih‐Chieh Young. (2016). Interannual variability of the subtropical countercurrent eddies in the North Pacific associated with the Western-Pacific teleconnection pattern. Continental Shelf Research. 143. 175–184. 9 indexed citations
12.
Young, Chih‐Chieh, et al.. (2016). Experimental investigation of nonlinear regular wave transformation over a submerged step: Harmonic generation and wave height modulation. Coastal Engineering. 117. 19–31. 12 indexed citations
13.
Young, Chih‐Chieh, et al.. (2015). Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models. Mathematical Problems in Engineering. 2015. 1–11. 62 indexed citations
14.
Liu, Chian‐Yi, et al.. (2015). Retrieval of Atmospheric Thermodynamic State From Synergistic Use of Radio Occultation and Hyperspectral Infrared Radiances Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(2). 744–756. 12 indexed citations
15.
Young, Chih‐Chieh, et al.. (2015). Genetic algorithm and fuzzy neural networks combined with the hydrological modeling system for forecasting watershed runoff discharge. Neural Computing and Applications. 26(7). 1631–1643. 30 indexed citations
16.
Liu, Chian‐Yi, et al.. (2014). Using Surface Stations to Improve Sounding Retrievals from Hyperspectral Infrared Instruments. IEEE Transactions on Geoscience and Remote Sensing. 52(11). 6957–6963. 12 indexed citations
17.
Liu, Wen‐Cheng, et al.. (2014). Modeling fecal coliform contamination in a tidal Danshuei River estuarine system. The Science of The Total Environment. 502. 632–640. 30 indexed citations
18.
Wu, Chin H., Chih‐Chieh Young, Qin Chen, & Patrick Lynett. (2010). Efficient Nonhydrostatic Modeling of Surface Waves from Deep to Shallow Water. Journal of Waterway Port Coastal and Ocean Engineering. 136(2). 104–118. 26 indexed citations
19.
Young, Chih‐Chieh, Chin H. Wu, Wen‐Cheng Liu, & Jan‐Tai Kuo. (2009). A higher-order non-hydrostatic σ model for simulating non-linear refraction–diffraction of water waves. Coastal Engineering. 56(9). 919–930. 28 indexed citations
20.
Liu, Wen‐Cheng, et al.. (2006). Evaluation of marine outfall with three-dimensional hydrodynamic and water quality modeling. Environmental Modeling & Assessment. 12(3). 201–211. 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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