Dongyang Nie

38 papers receiving 1.2k citations

Peers

Dongyang Nie
Comparison fields: 5 of 102
  • Process Chemistry and Technology 143
  • Health, Toxicology and Mutagenesis 619
  • Catalysis 298
  • Atmospheric Science 403
  • Environmental Engineering 262
Replace Tianzeng Chen with:
Tianzeng Chen China
Sylvain Billet France
Shengao Jing China
Giulia Simonetti Italy
Caleb Arata United States
Ruoyu Hu China
Tuan V. Vu United Kingdom
Jaeshin Kim United States
Haris Hafizal Abd Hamid Malaysia
Roohollah Rostami Iran
Dongyang Nie relative to Tianzeng Chen China Tianzeng Chen's profile →
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Citations per year

Countries citing papers authored by Dongyang Nie

Since Specialization
Citations

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

Fields of papers citing papers by Dongyang Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 2017123
3 2019116
4 201780
5 202075
6 202074
7 201758
8 201755
9 201843
10 202041
11 201838
12 202136
13 202230
14 202025
15 202224
16 201923
17 202121
18 201619
19 202118
20 202118

About Dongyang Nie

Dongyang Nie is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Global and Planetary Change and Materials Chemistry, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (21 papers), Atmospheric chemistry and aerosols (20 papers), Air Quality Monitoring and Forecasting (13 papers), Catalytic Processes in Materials Science (7 papers), Atmospheric aerosols and clouds (5 papers), Catalysts for Methane Reforming (5 papers), Carbon dioxide utilization in catalysis (4 papers) and COVID-19 impact on air quality (3 papers). The work is most often cited by research in Process Chemistry and Technology (143 citations), Health, Toxicology and Mutagenesis (619 citations), Catalysis (298 citations), Atmospheric Science (403 citations) and Environmental Engineering (262 citations). Dongyang Nie has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mindong Chen, Xinlei Ge, Pengxiang Ge, Leilei Xu, Fagen Wang, Yun Wu, Fuzhen Shen, Jianlin Hu, Xinbo Lian and Qi Lu. Their work appears in journals such as Atmospheric Environment, International Journal of Environmental Research and Public Health, Atmosphere, Journal of Environmental Management and Air Quality Atmosphere & Health.

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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