Tsun‐Kuo Chang

51 papers receiving 1.5k citations

Peers

Tsun‐Kuo Chang
Comparison fields: 5 of 120
  • Pollution 532
  • Environmental Engineering 329
  • Industrial and Manufacturing Engineering 180
  • Water Science and Technology 290
  • Radiological and Ultrasound Technology 93
Replace Amir Mohammadi with:
Amir Mohammadi Iran
Olle Selinus Sweden
Rui Zuo China
Simon Wilson United Kingdom
P. J. Peterson United Kingdom
Vetrimurugan Elumalai South Africa
Touraj Nasrabadi Iran
Paul F. Hudak United States
Peter G. McCornick United States
Rui Zuo China
Tsun‐Kuo Chang relative to Amir Mohammadi Iran Amir Mohammadi's profile →
Citations per field
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Amir Mohammadi · 1×
Citations per year

Countries citing papers authored by Tsun‐Kuo Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tsun‐Kuo Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tsun‐Kuo Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tsun‐Kuo Chang Line = papers co-authored together Tsun‐Kuo Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002166
2 201194
3 200992
4 201168
5 201067
6 200164
7 200263
8 201157
9 201053
10 201050
11 200350
12 201547
13 201542
14 201040
15 202037
16 201037
17 201334
18 201031
19 201631
20 201030

About Tsun‐Kuo Chang

Tsun‐Kuo Chang is a scholar working on Pollution, Environmental Engineering, Artificial Intelligence, Water Science and Technology and Industrial and Manufacturing Engineering, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heavy metals in environment (20 papers), Geochemistry and Geologic Mapping (13 papers), Soil Geostatistics and Mapping (11 papers), Heavy Metal Exposure and Toxicity (5 papers), Wastewater Treatment and Reuse (4 papers), Land Use and Ecosystem Services (4 papers), Spatial and Panel Data Analysis (4 papers) and Water Quality and Pollution Assessment (4 papers). The work is most often cited by research in Pollution (532 citations), Environmental Engineering (329 citations), Industrial and Manufacturing Engineering (180 citations), Water Science and Technology (290 citations) and Radiological and Ultrasound Technology (93 citations). Tsun‐Kuo Chang has collaborated with scholars based in Taiwan, United States and Jordan. Frequent co-authors include Yu‐Pin Lin, Guey‐Shin Shyu, Bai‐You Cheng, Chi-Ting Chiang, Hone‐Jay Chu, Ie‐Bin Lian, Che-Chun Su, Kuo‐Yang Tsai, Tzu‐Hsuen Yuan and Yaw‐Huei Hwang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Paddy and Water Environment, Journal of Environmental Science and Health Part A, Water Science & Technology and Sustainability.

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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