Yarui Wu

12 papers receiving 338 citations

Yarui Wu's Hit Papers

A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023 2024 · 71 citations
710+1Years since publication204060

Peers

Yarui Wu
Comparison fields: 5 of 79
  • Water Science and Technology 108
  • Health, Toxicology and Mutagenesis 75
  • Analytical Chemistry 42
  • Pollution 46
  • Environmental Engineering 48
Replace Song Yan with:
Song Yan China
Junxiong Cai China
Mohammad Hassan Mahmoudian Iran
Osamah J. Al-sareji Iraq
Zifang Chen China
Lúcia Helena Gomes Coelho Brazil
Josselin Gorny France
Ayodele Rotimi Ipeaiyeda Nigeria
Keivan Saeb Iran
Yarui Wu relative to Song Yan China Song Yan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yarui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yarui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202090
2
A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: A perspective from 2011 to 2023
Hit paper breakdown →
202471
3 202170
4 202139
5 202030
6 202129
7 20244
8 20244
9 20242
10 20251
11 20231
12
Study on the extraction and purification of alkaloids from lotus leaves
20071
13 20240
14 20260

About Yarui Wu

Yarui Wu is a scholar working on Health, Toxicology and Mutagenesis, Orthodontics, Atmospheric Science, Environmental Engineering and Water Science and Technology, having authored 14 papers that have together received 342 indexed citations. Recurring topics across this work include Orthodontics and Dentofacial Orthopedics (2 papers), Air Quality and Health Impacts (2 papers), Air Quality Monitoring and Forecasting (2 papers), Adsorption and biosorption for pollutant removal (2 papers), Clay minerals and soil interactions (1 paper), Vehicle emissions and performance (1 paper), Facial Rejuvenation and Surgery Techniques (1 paper) and Medicinal Plants and Bioactive Compounds (1 paper). The work is most often cited by research in Water Science and Technology (108 citations), Health, Toxicology and Mutagenesis (75 citations), Analytical Chemistry (42 citations), Pollution (46 citations) and Environmental Engineering (48 citations). Yarui Wu has collaborated with scholars based in China, Australia and New Zealand. Frequent co-authors include Xin Jiang, Hu Cheng, Jiangang Han, Yongrong Bian, Yang Song, Rongting Ji, Deng Pan, Wei Li, Qian Sun and Longjiang Zhang. Their work appears in journals such as Aesthetic Plastic Surgery, Environmental Monitoring and Assessment, Medicine, Journal of Environmental Management and Environment International.

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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