Junlin An

85 papers receiving 2.4k citations

Peers

Junlin An
Comparison fields: 5 of 94
  • Health, Toxicology and Mutagenesis 1.8k
  • Atmospheric Science 2.0k
  • Environmental Engineering 982
  • Automotive Engineering 451
  • Global and Planetary Change 617
Replace Xiaopu Lyu with:
Xiaopu Lyu Hong Kong
Zhuofei Du China
M. Zavala United States
Shaojia Fan China
Fangkun Wu China
Jing Zheng China
Alice Gilliland United States
Tao Song China
Tuan V. Vu United Kingdom
Zibing Yuan China
Junlin An relative to Xiaopu Lyu Hong Kong Xiaopu Lyu's profile →
Citations per field
00.5×4.3×
Xiaopu Lyu · 1×
Citations per year

Countries citing papers authored by Junlin An

Since Specialization
Citations

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

Fields of papers citing papers by Junlin An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010336
2 2016204
3 2014184
4 201786
5 201984
6 201483
7 201579
8 200976
9 201576
10 201675
11 201973
12 201669
13 202067
14 201957
15 201752
16 201148
17 201446
18 201445
19 202041
20 201639

About Junlin An

Junlin An is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Automotive Engineering, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (55 papers), Air Quality and Health Impacts (47 papers), Air Quality Monitoring and Forecasting (37 papers), Atmospheric aerosols and clouds (18 papers), Atmospheric Ozone and Climate (15 papers), Vehicle emissions and performance (13 papers), Water Quality Monitoring and Analysis (7 papers) and Concrete and Cement Materials Research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.8k citations), Atmospheric Science (2.0k citations), Environmental Engineering (982 citations), Automotive Engineering (451 citations) and Global and Planetary Change (617 citations). Junlin An has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Bin Zhu, Honglei Wang, Junxiu Wang, Changjie Cai, Qiong Yu, Fuhai Geng, Xuexi Tie, Yuesi Wang, Lijuan Shen and Ping Shao. Their work appears in journals such as Atmospheric Environment, The Science of The Total Environment, Atmospheric Research, Archives of Environmental Contamination and Toxicology and Construction and Building Materials.

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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