Tsang‐Jung Chang

1.8k total citations
57 papers, 1.5k citations indexed

About

Tsang‐Jung Chang is a scholar working on Computational Mechanics, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Tsang‐Jung Chang has authored 57 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computational Mechanics, 21 papers in Environmental Engineering and 16 papers in Global and Planetary Change. Recurrent topics in Tsang‐Jung Chang's work include Fluid Dynamics Simulations and Interactions (14 papers), Wind and Air Flow Studies (13 papers) and Flood Risk Assessment and Management (12 papers). Tsang‐Jung Chang is often cited by papers focused on Fluid Dynamics Simulations and Interactions (14 papers), Wind and Air Flow Studies (13 papers) and Flood Risk Assessment and Management (12 papers). Tsang‐Jung Chang collaborates with scholars based in Taiwan, United Kingdom and United States. Tsang‐Jung Chang's co-authors include Albert Chen, Yu‐Ting Wu, Ming‐Hsi Hsu, Hua–Yi Hsu, Chia‐Ren Chu, Chuan‐Yao Lin, Ben Chie Yen, Shang‐Shu Shih, Cheng‐I Hsieh and Tony W. H. Sheu and has published in prestigious journals such as Journal of Hydrology, Energy Conversion and Management and Renewable Energy.

In The Last Decade

Tsang‐Jung Chang

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsang‐Jung Chang Taiwan 21 503 436 360 358 268 57 1.5k
Chia‐Ren Chu Taiwan 28 1.1k 2.2× 566 1.3× 738 2.0× 674 1.9× 166 0.6× 73 2.3k
Tullio Tucciarelli Italy 22 233 0.5× 304 0.7× 360 1.0× 389 1.1× 91 0.3× 83 1.6k
Siti Fatin Mohd Razali Malaysia 17 506 1.0× 371 0.9× 275 0.8× 122 0.3× 105 0.4× 69 1.3k
Athanasios Angeloudis United Kingdom 22 171 0.3× 127 0.3× 131 0.4× 503 1.4× 189 0.7× 61 1.3k
Shouhong Zhang China 21 811 1.6× 553 1.3× 94 0.3× 429 1.2× 79 0.3× 137 1.6k
Matthias Beyer Germany 30 418 0.8× 512 1.2× 409 1.1× 387 1.1× 225 0.8× 113 2.7k
Gabriel Ibarra‐Berastegi Spain 25 573 1.1× 290 0.7× 103 0.3× 513 1.4× 316 1.2× 95 1.7k
Abdüsselam Altunkaynak Türkiye 27 1.1k 2.2× 650 1.5× 180 0.5× 139 0.4× 366 1.4× 110 2.3k
Hossein Afshin Iran 21 234 0.5× 138 0.3× 317 0.9× 204 0.6× 107 0.4× 92 1.4k
Andrew Clifton United States 22 581 1.2× 253 0.6× 194 0.5× 798 2.2× 640 2.4× 46 1.8k

Countries citing papers authored by Tsang‐Jung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tsang‐Jung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsang‐Jung Chang. 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 Tsang‐Jung Chang. The network helps show where Tsang‐Jung Chang may publish in the future.

Co-authorship network of co-authors of Tsang‐Jung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsang‐Jung Chang. A scholar is included among the top collaborators of Tsang‐Jung Chang 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 Tsang‐Jung Chang. Tsang‐Jung Chang 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.
Wu, Yu‐Ting, et al.. (2024). A new 2D ESPH bedload sediment transport model for rapidly varied flows over mobile beds. Journal of Hydrology. 634. 131002–131002. 7 indexed citations
2.
Chang, Tsang‐Jung, et al.. (2024). A Coupled River–Overland (1D-2D) Model for Fluvial Flooding Assessment with Cellular Automata. Water. 16(18). 2703–2703. 2 indexed citations
3.
Chang, Tsang‐Jung, et al.. (2024). Uncertainty‐Based Capacity Factors of Operational Wind Turbines Using the Generalized Likelihood Uncertainty Estimation (GLUE) Method. International Journal of Energy Research. 2024(1). 1 indexed citations
4.
Chang, Tsang‐Jung, et al.. (2023). GPU parallelization of particulate matter concentration modeling in indoor environment with cellular automata framework. Building and Environment. 243. 110724–110724.
5.
Chen, Albert, et al.. (2022). Modelling urban sewer flooding and quantitative microbial risk assessment: A critical review. Journal of Flood Risk Management. 15(4). 15 indexed citations
6.
Chang, Tsang‐Jung, et al.. (2021). A well-balanced and positivity-preserving SPH method for shallow water flows in open channels. Journal of Hydraulic Research. 59(6). 903–916. 9 indexed citations
7.
8.
Chang, Tsang‐Jung, et al.. (2017). Development of an upwinding kernel in SPH-SWEs model for 1D trans-critical open channel flows. Journal of Hydro-environment Research. 15. 13–26. 10 indexed citations
9.
Chang, Tsang‐Jung, et al.. (2015). Evaluation of the climate change impact on wind resources in Taiwan Strait. Energy Conversion and Management. 95. 435–445. 37 indexed citations
10.
Chang, Tsang‐Jung, et al.. (2012). Comparison of a new kernel method and a sampling volume method for estimating indoor particulate matter concentration with Lagrangian modeling. Building and Environment. 54. 20–28. 17 indexed citations
11.
Yang, Yi-Ting, Hung‐Chi Kuo, Yih‐Chi Tan, et al.. (2011). Improvement of Statistical Typhoon Rainfall Forecasting with ANN-Based Southwest Monsoon Enhancement. Terrestrial Atmospheric and Oceanic Sciences. 22(6). 633–633. 9 indexed citations
12.
Chang, Tsang‐Jung, et al.. (2009). Transport Mechanisms of Coarse, Fine, and Very Fine Particulate Matter in Urban Street Canopies with Different Building Layouts. Journal of the Air & Waste Management Association. 59(2). 196–206. 21 indexed citations
13.
Hsieh, Cheng‐I, Mei‐Chun Lai, Yue‐Joe Hsia, & Tsang‐Jung Chang. (2008). Estimation of sensible heat, water vapor, and CO2 fluxes using the flux-variance method. International Journal of Biometeorology. 52(6). 521–533. 21 indexed citations
14.
Chen, Albert, et al.. (2005). An integrated inundation model for highly developed urban areas. Water Science & Technology. 51(2). 221–229. 72 indexed citations
15.
Chang, Tsang‐Jung, et al.. (2003). Quantitative Prediction of Traffic Pollutant Transmission into Buildings. Journal of Environmental Science and Health Part A. 38(6). 1025–1040. 11 indexed citations
16.
Liao, Chung‐Min, et al.. (2002). REMOVAL DYNAMICS OF AIRBORNE ROAD DUST IN A VENTILATED AIRSPACE. Journal of Environmental Science and Health Part A. 37(6). 1009–1027. 1 indexed citations
17.
Hsu, Ming‐Hsi, Albert Chen, & Tsang‐Jung Chang. (2002). Dynamic inundation simulation of storm water interaction between sewer system and overland flows. Journal of the Chinese Institute of Engineers. 25(2). 171–177. 43 indexed citations
18.
Chang, Tsang‐Jung, et al.. (2002). Assessment of wind characteristics and wind turbine characteristics in Taiwan. Renewable Energy. 28(6). 851–871. 250 indexed citations
19.
Chang, Tsang‐Jung, et al.. (2000). A GIS‐ASSISTED DISTRIBUTED WATERSHED MODEL FOR SIMULATING FLOODING AND INUNDATION1. JAWRA Journal of the American Water Resources Association. 36(5). 975–988. 23 indexed citations
20.
Chang, Tsang‐Jung, Junke Guo, & Nian‐Sheng Cheng. (1998). Discussions and Closure: Simplified Settling Velocity Formula for Sediment Particle. Journal of Hydraulic Engineering. 124(6). 653–655. 5 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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