Kuan-Foo Chang

14 total papers · 844 total citations
9 papers, 723 citations indexed

About

Kuan-Foo Chang is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering and Atmospheric Science. According to data from OpenAlex, Kuan-Foo Chang has authored 9 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 4 papers in Automotive Engineering and 3 papers in Atmospheric Science. Recurrent topics in Kuan-Foo Chang's work include Air Quality and Health Impacts (5 papers), Vehicle emissions and performance (4 papers) and Atmospheric chemistry and aerosols (3 papers). Kuan-Foo Chang is often cited by papers focused on Air Quality and Health Impacts (5 papers), Vehicle emissions and performance (4 papers) and Atmospheric chemistry and aerosols (3 papers). Kuan-Foo Chang collaborates with scholars based in Taiwan and United States. Kuan-Foo Chang's co-authors include Chungsying Lu, Guor‐Cheng Fang, Yuh‐Shen Wu, Jianyu Pan, Hsunling Bai, Cheng‐Nan Chang, Peter P. Fu, Chihpin Huang, Guor-Cheng Fang and Shanshan Chou and has published in prestigious journals such as The Science of The Total Environment, Water Research and Environmental Pollution.

In The Last Decade

Kuan-Foo Chang

9 papers receiving 705 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kuan-Foo Chang	328	200	191	183	119	9	723
Shanshan Deng	212 0.6×	138 0.7×	129 0.7×	194 1.1×	140 1.2×	16	656
Wenjing Yu	235 0.7×	184 0.9×	159 0.8×	342 1.9×	142 1.2×	27	875
Bei Yan	204 0.6×	209 1.0×	136 0.7×	326 1.8×	112 0.9×	21	851
Hongjie Wang	214 0.7×	107 0.5×	237 1.2×	505 2.8×	71 0.6×	23	810
Dieter Kalaß	140 0.4×	173 0.9×	129 0.7×	319 1.7×	197 1.7×	15	899
Erika Reisz	209 0.6×	93 0.5×	75 0.4×	406 2.2×	96 0.8×	15	633
Soroosh Mortazavian	175 0.5×	121 0.6×	266 1.4×	362 2.0×	62 0.5×	16	734
Hassan Javed	105 0.3×	298 1.5×	123 0.6×	281 1.5×	87 0.7×	20	875
Claudia Aguilar	133 0.4×	149 0.7×	100 0.5×	165 0.9×	65 0.5×	33	672
Gulizhaer Abulikemu	269 0.8×	113 0.6×	58 0.3×	240 1.3×	123 1.0×	15	691

Countries citing papers authored by Kuan-Foo Chang

Since Specialization

Citations

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

Fields of papers citing papers by Kuan-Foo Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan-Foo 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 Kuan-Foo Chang. The network helps show where Kuan-Foo Chang may publish in the future.

Co-authorship network of co-authors of Kuan-Foo Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan-Foo Chang. A scholar is included among the top collaborators of Kuan-Foo 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 Kuan-Foo Chang. Kuan-Foo Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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