Chung‐Te Chang

1.6k total citations
58 papers, 1.2k citations indexed

About

Chung‐Te Chang is a scholar working on Global and Planetary Change, Ecology and Genetics. According to data from OpenAlex, Chung‐Te Chang has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Global and Planetary Change, 21 papers in Ecology and 13 papers in Genetics. Recurrent topics in Chung‐Te Chang's work include Genetic diversity and population structure (12 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Remote Sensing in Agriculture (9 papers). Chung‐Te Chang is often cited by papers focused on Genetic diversity and population structure (12 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Remote Sensing in Agriculture (9 papers). Chung‐Te Chang collaborates with scholars based in Taiwan, United States and China. Chung‐Te Chang's co-authors include Teng‐Chiu Lin, Matthew A. Vadeboncoeur, Kuo‐Chuan Lin, Jr‐Chuan Huang, J. Aaron Hogan, Steven P. Hamburg, Shih‐Ying Hwang, Cho‐ying Huang, Jeng‐Der Chung and Sufen Wang and has published in prestigious journals such as PLoS ONE, Trends in Ecology & Evolution and The Science of The Total Environment.

In The Last Decade

Chung‐Te Chang

57 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chung‐Te Chang Taiwan 21 453 410 263 215 175 58 1.2k
Albert J. Parker United States 21 650 1.4× 479 1.2× 256 1.0× 546 2.5× 100 0.6× 48 1.4k
Donald R. Schoolmaster United States 16 374 0.8× 950 2.3× 202 0.8× 382 1.8× 69 0.4× 35 1.7k
Kun Tian China 14 468 1.0× 582 1.4× 138 0.5× 209 1.0× 33 0.2× 77 1.2k
Katsunori Tanaka Japan 21 826 1.8× 232 0.6× 307 1.2× 218 1.0× 271 1.5× 66 1.4k
A. E. Kelly United States 6 657 1.5× 402 1.0× 468 1.8× 529 2.5× 67 0.4× 9 1.4k
Jianmeng Feng China 15 542 1.2× 628 1.5× 205 0.8× 476 2.2× 64 0.4× 53 1.4k
Pablo E. Villagra Argentina 25 729 1.6× 466 1.1× 385 1.5× 709 3.3× 53 0.3× 77 1.7k
Carlos Alberto Arnillas Canada 16 259 0.6× 386 0.9× 53 0.2× 409 1.9× 79 0.5× 32 1.1k
Jeremy D. Bartley United States 10 330 0.7× 788 1.9× 94 0.4× 511 2.4× 108 0.6× 10 1.6k
Maria de Nazaré Góes Ribeiro Brazil 11 418 0.9× 296 0.7× 180 0.7× 246 1.1× 67 0.4× 27 1.1k

Countries citing papers authored by Chung‐Te Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chung‐Te Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung‐Te Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chung‐Te Chang. A scholar is included among the top collaborators of Chung‐Te 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 Chung‐Te Chang. Chung‐Te 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.
Chang, Chung‐Te, et al.. (2025). Comparison of climate-phenology-hydrology associations at two long-term studied forest watersheds in subtropical mountainous Taiwan. Ecological Informatics. 90. 103257–103257. 2 indexed citations
2.
Chang, Chung‐Te, Lixin Wang, Ci‐Jian Yang, et al.. (2022). On the seasonality of long-range transport of acidic pollutants in East Asia. Environmental Research Letters. 17(9). 94029–94029. 4 indexed citations
3.
Chang, Chung‐Te, et al.. (2021). Changes of precipitation acidity related to sulfur and nitrogen deposition in forests across three continents in north hemisphere over last two decades. The Science of The Total Environment. 806(Pt 1). 150552–150552. 34 indexed citations
5.
Chang, Chung‐Te, et al.. (2020). Effects of Land Cover and Atmospheric Input on Nutrient Budget in Subtropical Mountainous Rivers, Northeastern Taiwan. Water. 12(10). 2800–2800. 5 indexed citations
6.
Chang, Chung‐Te, et al.. (2020). Demographic history and adaptive synonymous and nonsynonymous variants of nuclear genes in Rhododendron oldhamii (Ericaceae). Scientific Reports. 10(1). 16658–16658. 2 indexed citations
7.
Lin, Teng‐Chiu, J. Aaron Hogan, & Chung‐Te Chang. (2020). Tropical Cyclone Ecology: A Scale-Link Perspective. Trends in Ecology & Evolution. 35(7). 594–604. 93 indexed citations
9.
Shih, Yu-Ting, Pei‐Hao Chen, Chien‐Sen Liao, et al.. (2018). Rapid Phase Transfer of DOC and DIC Transport in a Subtropical Small Mountainous River. Biogeosciences (European Geosciences Union). 1 indexed citations
10.
Shih, Yu-Ting, Chien‐Sen Liao, Shih‐Hao Jien, et al.. (2018). Dynamic responses of DOC and DIC transport to different flow regimes in a subtropical small mountainous river. Hydrology and earth system sciences. 22(12). 6579–6590. 30 indexed citations
11.
Chang, Chung‐Te, et al.. (2018). Adaptive Genetic Divergence Despite Significant Isolation-by-Distance in Populations of Taiwan Cow-Tail Fir (Keteleeria davidiana var. formosana). Frontiers in Plant Science. 9. 92–92. 22 indexed citations
12.
Chang, Chung‐Te, Jr‐Chuan Huang, Lixin Wang, Yu-Ting Shih, & Teng‐Chiu Lin. (2018). Shifts in stream hydrochemistry in responses to typhoon and non-typhoon precipitation. Biogeosciences. 15(8). 2379–2391. 10 indexed citations
13.
Lin, Kuo‐Chuan, et al.. (2017). Impacts of increasing typhoons on the structure and function of a subtropical forest: reflections of a changing climate. PMC. 2 indexed citations
14.
Chang, Chung‐Te, et al.. (2017). Modeling the terrestrial N processes in a small mountain catchment through INCA-N: A case study in Taiwan. The Science of The Total Environment. 593-594. 319–329. 18 indexed citations
15.
Chang, Chung‐Te, et al.. (2017). Postglacial range expansion and the role of ecological factors in driving adaptive evolution of Musa basjoo var. formosana. Scientific Reports. 7(1). 5341–5341. 9 indexed citations
16.
Chang, Chung‐Te, Jr‐Chuan Huang, Lixin Wang, & Teng‐Chiu Lin. (2017). Shifts in stream hydrochemistry in responses to typhoon and non-typhoonprecipitation. 1 indexed citations
17.
18.
Chang, Chung‐Te, et al.. (2013). Impacts of tropical cyclones on hydrochemistry of a subtropical forest. Hydrology and earth system sciences. 17(10). 3815–3826. 21 indexed citations
19.
Chang, Chung‐Te, Teng‐Chiu Lin, Sufen Wang, & Matthew A. Vadeboncoeur. (2011). Assessing growing season beginning and end dates and their relation to climate in Taiwan using satellite data. International Journal of Remote Sensing. 32(18). 5035–5058. 24 indexed citations
20.
Chang, Chung‐Te, et al.. (2007). Coral Geochemical Proxy Records Of The East Asian Winter Monsoon And Hydrological Conditions In The Central Vietnam From 1978-2004 AD. AGU Fall Meeting Abstracts. 2007. 1 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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