Xin Bo

79 papers receiving 1.8k citations

Hit Papers

Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards 2019 · 333 citations
3330+2+4Years since publication100200300

Peers

Xin Bo
Comparison fields: 5 of 165
  • Health, Toxicology and Mutagenesis 630
  • Environmental Engineering 398
  • Automotive Engineering 285
  • Atmospheric Science 408
  • Industrial and Manufacturing Engineering 98
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Qiao Ma China
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Shaohui Zhang China
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Yu Shang China
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Xin Tang China
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Countries citing papers authored by Xin Bo

Since Specialization
Citations

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

Fields of papers citing papers by Xin Bo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Substantial emission reductions from Chinese power plants after the introduction of ultra-low emissions standards
Hit paper breakdown →
2019333
2 202190
3 202085
4 200772
5 202069
6 201966
7 202256
8 201951
9 202248
10 201948
11 201546
12 201842
13 202340
14 202236
15 202335
16 202033
17 201631
18 201830
19 202027
20 202224

About Xin Bo

Xin Bo is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Automotive Engineering, Environmental Engineering and Molecular Biology, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (34 papers), Atmospheric chemistry and aerosols (22 papers), Vehicle emissions and performance (17 papers), Air Quality Monitoring and Forecasting (9 papers), Recycling and Waste Management Techniques (5 papers), Environmental Impact and Sustainability (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (630 citations), Environmental Engineering (398 citations), Automotive Engineering (285 citations), Atmospheric Science (408 citations) and Industrial and Manufacturing Engineering (98 citations). Xin Bo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ling Tang, Xiaoda Xue, Zhifu Mi, Shouyang Wang, Jiabao Qu, Xiangyu Chang, Shibei Li, Xiaohong Zhao, Laura Díaz Anadón and Xin Wang. Their work appears in journals such as Environmental Pollution, Atmosphere, Journal of Environmental Management, Journal of Cleaner Production and Journal of Hazardous 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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