Fangkun Wu

2.2k citations
45 papers · 1.7k indexed · h-index 17

Impact in

Papers in

Fangkun Wu

43 papers receiving 1.7k citations

Peers

Fangkun Wu
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 1.3k
  • Atmospheric Science 1.3k
  • Environmental Engineering 702
  • Process Chemistry and Technology 68
  • Automotive Engineering 274
Replace Shasha Yin with:
Shasha Yin China
Johannes Bieser Germany
Zhijiong Huang China
Tazuko Morikawa Japan
Xiaopu Lyu Hong Kong
Amir Hakami Canada
Edwin Schaaf Italy
Can Wu China
Young Sung Ghim South Korea
Natalie J. Pekney United States
Fangkun Wu relative to Shasha Yin China Shasha Yin's profile →
Citations per field
00.5×1.5×
Shasha Yin · 1×
Citations per year

Countries citing papers authored by Fangkun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fangkun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20230
5 202214
6 20217
7 202118
8 202036
9 202011
10 201910
11 201815
12 201759
13 20177
14 2017197
15 2016149
16 2014199
17
[Observation and study on atmospheric VOCs in Changsha city].
20113
18
[Analysis on status pollution and variation of BTEX in Beijing].
20117
19 201097
20 200913

About Fangkun Wu

Fangkun Wu is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Global and Planetary Change, Automotive Engineering and Environmental Engineering, having authored 45 papers that have together received 1.7k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (30 papers), Air Quality and Health Impacts (23 papers), Atmospheric aerosols and clouds (11 papers), Air Quality Monitoring and Forecasting (8 papers), Vehicle emissions and performance (8 papers), Atmospheric Ozone and Climate (7 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Meteorological Phenomena and Simulations (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.3k citations), Atmospheric Science (1.3k citations), Environmental Engineering (702 citations), Process Chemistry and Technology (68 citations) and Automotive Engineering (274 citations). Fangkun Wu has collaborated with scholars based in China, Cyprus and Germany. Frequent co-authors include Yuesi Wang, Guiqian Tang, Junke Zhang, Jie Sun, Lili Wang, Bo Hu, Zirui Liu, Xin Jin, Dongsheng Ji and Wenkang Gao. Their work appears in journals such as Atmospheric Environment, Atmospheric chemistry and physics, Atmospheric Research, The Science of The Total Environment and Atmosphere.

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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