Kai Bi

1.1k citations
48 papers · 702 · h-index 15

Impact in

Papers in

Kai Bi

46 papers receiving 688 citations

Peers

Kai Bi
Comparison fields: 5 of 71
  • Atmospheric Science 388
  • Health, Toxicology and Mutagenesis 229
  • Global and Planetary Change 277
  • Automotive Engineering 70
  • Electronic, Optical and Magnetic Materials 98
Replace Haoran Liu with:
Haoran Liu China
Jianjie Wang China
Jian Feng China
Huihong Luo China
Antti Ruuskanen Finland
Anssi Arffman Finland
Howard G. Maahs United States
Lukáš Ďurdina Switzerland
Kai Bi relative to Haoran Liu China Haoran Liu's profile →
Citations per field
00.5×10×20×30×40×48×
Haoran Liu · 1×
Citations per year

Countries citing papers authored by Kai Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kai Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017174
2 201940
3 201937
4 201937
5 202035
6 201235
7 201830
8 201929
9 202028
10 201528
11 202223
12 201917
13 202016
14 201715
15 202215
16 201914
17
Multi-polarized HRRP classification by SVM and DS evidence theory
201312
18 20219
19 20239
20 20209

About Kai Bi

Kai Bi is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Materials Chemistry and Electrical and Electronic Engineering, having authored 48 papers that have together received 702 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (22 papers), Atmospheric aerosols and clouds (17 papers), Air Quality and Health Impacts (17 papers), Atmospheric Ozone and Climate (6 papers), Meteorological Phenomena and Simulations (5 papers), Nonlocal and gradient elasticity in micro/nano structures (5 papers), Ferroelectric and Piezoelectric Materials (5 papers) and Vibration Control and Rheological Fluids (4 papers). The work is most often cited by research in Atmospheric Science (388 citations), Health, Toxicology and Mutagenesis (229 citations), Global and Planetary Change (277 citations), Automotive Engineering (70 citations) and Electronic, Optical and Magnetic Materials (98 citations). Kai Bi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Ping Tian, Delong Zhao, Deping Ding, Quan Liu, Mengyu Huang, Dantong Liu, Minjie Xuan, Shimou Chen, Xiaoli Zhang and Jing Mao. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment, Ceramics International, Atmospheric chemistry and physics and Atmospheric Research.

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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