Kai Chen

6.9k citations
203 papers · 4.8k · 2 hit papers · h-index 40

Impact in

Papers in

Kai Chen

181 papers receiving 4.6k citations

Kai Chen's Hit Papers

Air pollution reduction and mortality benefit during the COVID-19 outbreak in China 2020 · 319 citations
3190+2+4Years since publication100200300

Peers

Kai Chen
Comparison fields: 5 of 196
  • Health, Toxicology and Mutagenesis 2.3k
  • Modeling and Simulation 186
  • Pollution 447
  • Environmental Engineering 477
  • Health 214
Replace Shannon Rutherford with:
Shannon Rutherford Australia
Weihong Chen China
Elza Bontempi Italy
Giuseppe Rossi Italy
Ian Ridley United Kingdom
Dung Phung Australia
Cordia Chu Australia
Nasrin Aghamohammadi Malaysia
Jing Cai China
Narges Khanjani Iran
Kai Chen relative to Shannon Rutherford Australia Shannon Rutherford's profile →
Citations per field
00.5×3.3×
Shannon Rutherford · 1×
Citations per year

Countries citing papers authored by Kai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly tough supramolecular double network hydrogel electrolytes for an artificial flexible and low-temperature tolerant sensor
Hit paper breakdown →
2020321
2
Air pollution reduction and mortality benefit during the COVID-19 outbreak in China
Hit paper breakdown →
2020319
3 2018167
4 2020156
5 2014145
6 2019111
7 2016106
8 2016102
9 2021102
10 202192
11 201792
12 201986
13 202075
14 201575
15 201373
16 201571
17 201469
18 201862
19 202061
20 202160

About Kai Chen

Kai Chen is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions, Electrical and Electronic Engineering, Computational Mechanics and Signal Processing, having authored 203 papers that have together received 4.8k indexed citations. Recurring topics across this work include Climate Change and Health Impacts (86 papers), Air Quality and Health Impacts (70 papers), Global Health Care Issues (28 papers), Speech and Audio Processing (16 papers), Advanced Adaptive Filtering Techniques (12 papers), Thermoregulation and physiological responses (11 papers), Health disparities and outcomes (11 papers) and Ga2O3 and related materials (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.3k citations), Modeling and Simulation (186 citations), Pollution (447 citations), Environmental Engineering (477 citations) and Health (214 citations). Kai Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jun Bi, Lei Huang, Patrick L. Kinney, Lian Zhou, Robert Dubrow, Xiaohong Chen, Zongwei Ma, Yiqun Ma, Meng Wang and Xiancai Jiang. Their work appears in journals such as Environment International, The Science of The Total Environment, Environmental Pollution, Environmental Research and Environmental Science & Technology.

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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