Shao‐Meng Li

18.4k citations
227 papers · 10.4k indexed · 1 hit paper · h-index 57

Shao‐Meng Li

218 papers receiving 9.9k citations

Hit Papers

Recommendations for reporting "black carbon" measurements7872013202620172021250500750

Peers

Shao‐Meng Li
Comparison fields: 5 of 140
  • Atmospheric Science 8.3k
  • Health, Toxicology and Mutagenesis 5.7k
  • Global and Planetary Change 4.1k
  • Environmental Engineering 1.5k
  • Automotive Engineering 1.1k
Replace H. Puxbaum with:
H. Puxbaum Austria
Eric S. Edgerton United States
Guoshun Zhuang China
Thomas B. Ryerson United States
Ru‐Jin Huang China
Thorsten Hoffmann Germany
András Gelencsér Hungary
Steven S. Brown United States
Lynn M. Hildemann United States
C. Warneke United States
Shao‐Meng Li relative to H. Puxbaum Austria H. Puxbaum's profile →
Citations per field
00.5×1.5×2.2×
H. Puxbaum · 1×
Citations per year

Countries citing papers authored by Shao‐Meng Li

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Meng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao‐Meng 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 Shao‐Meng Li. The network helps show where Shao‐Meng Li may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 202120
3 202114
4 20218
5 2021141
6 202066
7 201920
8 201933
9 201916
10 201938
11 201930
12 201917
13 201913
14 201630
15 201526
16 201463
17 20142
18 201327
19
Recommendations for reporting "black carbon" measurementsbreakdown →
2013787
20 198981

About Shao‐Meng Li

Shao‐Meng Li is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Process Chemistry and Technology and Automotive Engineering, having authored 227 papers that have together received 10.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (191 papers), Air Quality and Health Impacts (100 papers), Atmospheric and Environmental Gas Dynamics (74 papers), Atmospheric Ozone and Climate (58 papers), Atmospheric aerosols and clouds (46 papers), Vehicle emissions and performance (30 papers), Toxic Organic Pollutants Impact (28 papers) and Air Quality Monitoring and Forecasting (18 papers). The work is most often cited by research in Atmospheric Science (8.3k citations), Health, Toxicology and Mutagenesis (5.7k citations), Global and Planetary Change (4.1k citations), Environmental Engineering (1.5k citations) and Automotive Engineering (1.1k citations). Shao‐Meng Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include John Liggio, R. McLaren, Eddy Y. Zeng, Leonard A. Barrie, W. R. Leaitch, John W. Winchester, Lian‐Jun Bao, Jonathan P. D. Abbatt, Ralf M. Staebler and Katherine Hayden. Their work appears in journals such as Atmospheric chemistry and physics, Journal of Geophysical Research Atmospheres, Environmental Science & Technology, Atmospheric Environment and Atmospheric measurement techniques.

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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