Hsing-Wang Li

530 citations
12 papers · 481 · h-index 10

Impact in

Papers in

Hsing-Wang Li

11 papers receiving 477 citations

Peers

Hsing-Wang Li
Comparison fields: 5 of 56
  • Health, Toxicology and Mutagenesis 346
  • Industrial and Manufacturing Engineering 87
  • Pollution 96
  • Atmospheric Science 102
  • Automotive Engineering 46
Replace Robert Lindgren with:
Robert Lindgren Sweden
Loukia P. Chrysikou Greece
Linli Qu China
Mihriban Civan Türkiye
Jen-Hsiung Tsai Taiwan
Barbora Švédová Czechia
Elisa Venturini Italy
Hanna Koponen Finland
Bamidele Sunday Fakinle Nigeria
Penghao Su China
Hsing-Wang Li relative to Robert Lindgren Sweden Robert Lindgren's profile →
Citations per field
00.5×7.7×
Robert Lindgren · 1×
Citations per year

Countries citing papers authored by Hsing-Wang Li

Since Specialization
Citations

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

Fields of papers citing papers by Hsing-Wang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsing-Wang Li. 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 Hsing-Wang Li. The network helps show where Hsing-Wang Li may publish in the future.

Co-authors

The 22 scholars most cited alongside Hsing-Wang Li, 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 Hsing-Wang Li Line = papers co-authored together Hsing-Wang Li links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2007104
2 200669
3 201059
4 200553
5 201250
6 201043
7 201433
8 200727
9 200823
10 200711
11 20099
12 20240

About Hsing-Wang Li

Hsing-Wang Li is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Atmospheric Science, Cancer Research and Automotive Engineering, having authored 12 papers that have together received 481 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (11 papers), Atmospheric chemistry and aerosols (4 papers), Air Quality and Health Impacts (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Vehicle emissions and performance (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Environmental remediation with nanomaterials (2 papers) and Heavy metals in environment (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (346 citations), Industrial and Manufacturing Engineering (87 citations), Pollution (96 citations), Atmospheric Science (102 citations) and Automotive Engineering (46 citations). Hsing-Wang Li has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Guo‐Ping Chang‐Chien, Wen‐Jhy Lee, Lin‐Chi Wang, Yi‐Chieh Lai, Ya‐Fen Wang, Chun‐Chi Chen, Edward Ming‐Yang Wu, Cheng‐Hsien Tsai, Perng‐Jy Tsai and Yuan‐Chung Lin. Their work appears in journals such as Journal of Hazardous Materials, Atmospheric Environment, Aerosol and Air Quality Research, Journal of Environmental Science and Health Part A and Environmental Science & Technology.

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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