Meng Fan

6.2k citations
224 papers · 4.4k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Meng Fan

208 papers receiving 4.3k citations

Hit Papers

Transforming unmanned pineapple picking with spatio-temporal convolutional neural networks 2023 · 79 citations
7920162026201920222505007501000

Peers

Meng Fan
Comparison fields: 5 of 165
  • Health, Toxicology and Mutagenesis 1.4k
  • Atmospheric Science 1.6k
  • Environmental Engineering 849
  • Civil and Structural Engineering 1.1k
  • Global and Planetary Change 942
Replace Ali Najah Ahmed with:
Ali Najah Ahmed Malaysia
Yao Li China
Jian Wu China
Fi‐John Chang Taiwan
Stephen Dorling United Kingdom
Yue Li China
Li‐Chiu Chang Taiwan
Weihong Li China
Qiang Li United States
Jing Tian China
Meng Fan relative to Ali Najah Ahmed Malaysia Ali Najah Ahmed's profile →
Citations per field
00.5×6.8×
Ali Najah Ahmed · 1×
Citations per year

Countries citing papers authored by Meng Fan

Since Specialization
Citations

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

Fields of papers citing papers by Meng Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20245
4 202410
5 20243
6 202412
7 20244
8 20231
9 20231
10 202319
11 20233
12 202313
13 20233
14 20231
15 20223
16 201929
17 20186
18 201817
19 201611
20
[Analysis About Spatial and Temporal Distribution of SO2 and An Ambient SO2 Pollution Process in Beijing During 2000-2014].
20155

About Meng Fan

Meng Fan is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Automotive Engineering, having authored 224 papers that have together received 4.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (94 papers), Air Quality and Health Impacts (67 papers), Air Quality Monitoring and Forecasting (46 papers), Atmospheric aerosols and clouds (32 papers), Atmospheric Ozone and Climate (30 papers), Atmospheric and Environmental Gas Dynamics (26 papers), Vehicle emissions and performance (14 papers) and Remote Sensing and Land Use (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (1.4k citations), Atmospheric Science (1.6k citations), Environmental Engineering (849 citations), Civil and Structural Engineering (1.1k citations) and Global and Planetary Change (942 citations). Meng Fan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhiquan Qi, Yong Shi, Limeng Cui, Zhen‐Song Chen, Jinhua Tao, Shijie Liu, Zhongzhi Zhang, Miaomiao Cheng, Jun Xu and Liangfu Chen. Their work appears in journals such as Atmospheric Environment, Journal of Environmental Sciences, Remote Sensing, The Science of The Total Environment and Environmental Pollution.

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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