Tsun‐Kuo Chang

1.8k citations
50 papers · 1.5k indexed · h-index 24

Tsun‐Kuo Chang

50 papers receiving 1.4k citations

Peers

Tsun‐Kuo Chang
Comparison fields: 5 of 126
  • Pollution 535
  • Environmental Engineering 324
  • Water Science and Technology 285
  • Industrial and Manufacturing Engineering 171
  • Health, Toxicology and Mutagenesis 268
Replace Olle Selinus with:
Olle Selinus Sweden
Amir Mohammadi Iran
Rui Zuo China
Jane A. Plant United Kingdom
Simon Wilson United Kingdom
P. J. Peterson United Kingdom
Touraj Nasrabadi Iran
Vetrimurugan Elumalai South Africa
Imasiku Nyambe Zambia
Jiao Li China
Tsun‐Kuo Chang relative to Olle Selinus Sweden Olle Selinus's profile →
Citations per field
00.5×3.6×
Olle Selinus · 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-authorship network

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
#Work
1 201924
2 201711
3 201421
4 20141
5 20141
6 201162
7 201047
8 201029
9 201030
10 201019
11 201064
12 201053
13 201033
14 201039
15 200989
16 20085
17 200627
18
Wastewater treatment - physical and chemical methods
198524
19
Heavy metal crystallization kinetics in an MSMPR crystallizer employing sulfide precipitation
198411
20
Physical and chemical methods
19833

About Tsun‐Kuo Chang

Tsun‐Kuo Chang is a scholar working on Pollution, Environmental Engineering, Industrial and Manufacturing Engineering, Water Science and Technology and Environmental Chemistry, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heavy metals in environment (19 papers), Geochemistry and Geologic Mapping (13 papers), Soil Geostatistics and Mapping (11 papers), Heavy Metal Exposure and Toxicity (5 papers), Land Use and Ecosystem Services (4 papers), Spatial and Panel Data Analysis (4 papers), Wastewater Treatment and Reuse (4 papers) and Water Quality and Pollution Assessment (4 papers). The work is most often cited by research in Pollution (535 citations), Environmental Engineering (324 citations), Water Science and Technology (285 citations), Industrial and Manufacturing Engineering (171 citations) and Health, Toxicology and Mutagenesis (268 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, Che-Chun Su, Ie‐Bin Lian, Kuo‐Yang Tsai, Yaw‐Huei Hwang and Tzu‐Hsuen Yuan. 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, Geoderma 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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