Kaiyu Chen

2.9k citations
68 papers · 2.1k · 1 hit paper · h-index 21

Impact in

Papers in

Kaiyu Chen

64 papers receiving 2.0k citations

Kaiyu Chen's Hit Papers

Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak 2020 · 572 citations
5720+2+4Years since publication100200300400500

Peers

Kaiyu Chen
Comparison fields: 5 of 137
  • Health, Toxicology and Mutagenesis 806
  • Global and Planetary Change 580
  • Environmental Engineering 359
  • Atmospheric Science 344
  • Modeling and Simulation 68
Replace Xinyu Chen with:
Xinyu Chen China
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Y Y ZHANG China
Martin Mohr Switzerland
Yuhong Wang China
Kerry E. Kelly United States
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Kaiyu Chen relative to Xinyu Chen China Xinyu Chen's profile →
Citations per field
00.5×2×4×5.7×
Xinyu Chen · 1×
Citations per year

Countries citing papers authored by Kaiyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kaiyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak
Hit paper breakdown →
2020572
2 2020188
3 2015113
4 2015100
5 202297
6 201981
7 201680
8 201871
9 202169
10 202452
11 202246
12 201946
13 200134
14 200832
15 200326
16 202224
17 202123
18 202322
19 202221
20 202021

About Kaiyu Chen

Kaiyu Chen is a scholar working on Health, Toxicology and Mutagenesis, Hardware and Architecture, Atmospheric Science, Pollution and Water Science and Technology, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (10 papers), Atmospheric chemistry and aerosols (8 papers), Parallel Computing and Optimization Techniques (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Energy and Environment Impacts (4 papers), Advanced oxidation water treatment (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Traffic control and management (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (806 citations), Global and Planetary Change (580 citations), Environmental Engineering (359 citations), Atmospheric Science (344 citations) and Modeling and Simulation (68 citations). Kaiyu Chen has collaborated with scholars based in China, United States and India. Frequent co-authors include Hongliang Zhang, Pengfei Wang, Peng Wang, Shengqiang Zhu, Hui Zhao, Tian Shao, Yuxing Zhang, Zhen Qiong Liu, Liyuan Wu and Pengpeng Guo. Their work appears in journals such as Chemosphere, Resources Conservation and Recycling, Frontiers in Oncology, ACS Nano and Journal of Cachexia Sarcopenia and Muscle.

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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