Bin Guo

58 papers receiving 1.4k citations

Bin Guo'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 · 56 citations
560+1Years since publication1020304050

Peers

Bin Guo
Comparison fields: 5 of 134
  • Health, Toxicology and Mutagenesis 605
  • Environmental Engineering 566
  • Global and Planetary Change 373
  • Atmospheric Science 303
  • Computational Mathematics 7
Replace Amit Kumar Gorai with:
Amit Kumar Gorai India
Huihui Feng China
Giovanni Gualtieri Italy
Zhongmin Zhu China
Yanqing Xu China
Qingqing He China
Mazrura Sahani Malaysia
M. Petrakis Greece
Gabriel Ibarra‐Berastegi Spain
Bin Guo relative to Amit Kumar Gorai India Amit Kumar Gorai's profile →
Citations per field
00.5×3.5×
Amit Kumar Gorai · 1×
Citations per year

Countries citing papers authored by Bin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Bin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2017152
3 2020121
4 202280
5 202177
6 202058
7 202058
8
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 →
202456
9 202248
10 201841
11 202134
12 201532
13 202130
14 202030
15 202128
16 202327
17 202125
18 202225
19 201624
20 201422

About Bin Guo

Bin Guo is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Artificial Intelligence, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (23 papers), Air Quality Monitoring and Forecasting (12 papers), Atmospheric chemistry and aerosols (9 papers), Impact of Light on Environment and Health (7 papers), Land Use and Ecosystem Services (6 papers), Geochemistry and Geologic Mapping (6 papers), Climate Change and Health Impacts (6 papers) and Noise Effects and Management (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (605 citations), Environmental Engineering (566 citations), Global and Planetary Change (373 citations), Atmospheric Science (303 citations) and Computational Mathematics (7 citations). Bin Guo has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dingming Zhang, Song Xi Chen, Lin Pei, Yi Su, Xiaoxia Wang, Jing He, Shuyi Zhang, Shuyi Zhang, Hui Huang and Haozhe Zhang. Their work appears in journals such as Environmental Science and Pollution Research, The Science of The Total Environment, Environmental Pollution, Atmospheric Environment and Remote Sensing.

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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