Luyi Ding

17 papers receiving 1.5k citations

Luyi Ding's Hit Papers

Comparison of quantification methods to measure fire‐derived (black/elemental) carbon in soils and sediments using reference materials from soil, water, sediment and the atmosphere 2007 · 777 citations
7770+6+12Years since publication250500750

Peers

Luyi Ding
Comparison fields: 5 of 97
  • Health, Toxicology and Mutagenesis 558
  • Atmospheric Science 578
  • Spectroscopy 310
  • Soil Science 176
  • Global and Planetary Change 322
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Andrew Wozniak United States
Paul V. Doskey United States
Juliana D’Andrilli United States
Eugenio Sanhueza Venezuela
Zdenek Zencak Sweden
Vladimir O. Elias United States
Jacques Hueber United States
John Robert Helms United States
Donald R. Hastie Canada
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Countries citing papers authored by Luyi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Luyi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luyi Ding. 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 Luyi Ding. The network helps show where Luyi Ding may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Comparison of quantification methods to measure fire‐derived (black/elemental) carbon in soils and sediments using reference materials from soil, water, sediment and the atmosphere
Hit paper breakdown →
2007777
2 2010129
3 201187
4 199772
5 200869
6 200367
7 200958
8 200355
9 201951
10 199941
11 200138
12 200234
13 201333
14 200324
15 201010
16 20148
17 20152
18 20240

About Luyi Ding

Luyi Ding is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Spectroscopy, Automotive Engineering and Analytical Chemistry, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (8 papers), Mass Spectrometry Techniques and Applications (6 papers), Analytical Chemistry and Chromatography (5 papers), Vehicle emissions and performance (5 papers), Toxic Organic Pollutants Impact (4 papers), Analytical chemistry methods development (3 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (558 citations), Atmospheric Science (578 citations), Spectroscopy (310 citations), Soil Science (176 citations) and Global and Planetary Change (322 citations). Luyi Ding has collaborated with scholars based in Canada, Sweden and Germany. Frequent co-authors include Ewa Dąbek-Złotorzyńska, Tom F. Dann, Roger Guevremont, Valbona Celo, Dennis Herod, Greg J. Evans, Cheol-Heon Jeong, Zoltán Mester, Claire C. Austin and David A. Barnett. Their work appears in journals such as Atmospheric Environment, Analytical Chemistry, International Journal of Environmental & Analytical Chemistry, Journal of the American Society for Mass Spectrometry and Rapid Communications in Mass Spectrometry.

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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