Lin‐Chi Wang

5.7k citations
172 papers · 4.7k indexed · h-index 38

Impact in

Papers in

Lin‐Chi Wang

169 papers receiving 4.7k citations

Peers

Lin‐Chi Wang
Comparison fields: 5 of 145
  • Health, Toxicology and Mutagenesis 3.0k
  • Fluid Flow and Transfer Processes 553
  • Pollution 838
  • Industrial and Manufacturing Engineering 515
  • Automotive Engineering 642
Replace Wen‐Jhy Lee with:
Wen‐Jhy Lee Taiwan
M.S. Callén Spain
Hsi‐Hsien Yang Taiwan
A.M. Mastral Spain
Jorma Jokiniemi Finland
Sheng‐Lun Lin Taiwan
Brian K. Gullett United States
William P. Linak United States
Yuan‐Chung Lin Taiwan
Kuo‐Lin Huang Taiwan
Lin‐Chi Wang relative to Wen‐Jhy Lee Taiwan Wen‐Jhy Lee's profile →
Citations per field
00.5×1.5×2.1×
Wen‐Jhy Lee · 1×
Citations per year

Countries citing papers authored by Lin‐Chi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Chi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin‐Chi Wang. 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 Lin‐Chi Wang. The network helps show where Lin‐Chi Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin‐Chi Wang, 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 Lin‐Chi Wang Line = papers co-authored together Lin‐Chi Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015202
2 2013179
3 2010128
4 2003125
5 2003120
6 2015118
7 2004117
8 2011113
9 200299
10 200795
11 201092
12 202173
13 201072
14 200669
15 201968
16 201667
17 201366
18 201161
19 201161
20 200761

About Lin‐Chi Wang

Lin‐Chi Wang is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Atmospheric Science, Pollution and Biomedical Engineering, having authored 172 papers that have together received 4.7k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (110 papers), Air Quality and Health Impacts (77 papers), Vehicle emissions and performance (36 papers), Atmospheric chemistry and aerosols (34 papers), Effects and risks of endocrine disrupting chemicals (22 papers), Catalytic Processes in Materials Science (15 papers), Carcinogens and Genotoxicity Assessment (15 papers) and Microbial bioremediation and biosurfactants (11 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.0k citations), Fluid Flow and Transfer Processes (553 citations), Pollution (838 citations), Industrial and Manufacturing Engineering (515 citations) and Automotive Engineering (642 citations). Lin‐Chi Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Guo‐Ping Chang‐Chien, Wen‐Jhy Lee, Sheng‐Lun Lin, Wei-Shan Lee, Perng‐Jy Tsai, John Kennedy Mwangi, Ya‐Fen Wang, Wen-Jhy Lee, Hsi‐Hsien Yang and Hsing‐Cheng Hsi. Their work appears in journals such as Aerosol and Air Quality Research, Journal of Hazardous Materials, Environmental Science & Technology, Chemosphere and Environmental Pollution.

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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