Chenkai Zhao

939 citations
20 papers · 478 indexed · h-index 8

Impact in

Papers in

Chenkai Zhao

15 papers receiving 467 citations

Peers

Chenkai Zhao
Comparison fields: 5 of 95
  • Modeling and Simulation 225
  • Health, Toxicology and Mutagenesis 111
  • Global and Planetary Change 148
  • Economics and Econometrics 146
  • Surfaces, Coatings and Films 30
Replace Pengcheng Zhao with:
Pengcheng Zhao Hong Kong
Fabrizio Ferrari Italy
Ankit Gupta India
Mark Fretz United States
Weihao Zhu China
Mohammad Sarmadi Iran
Leslie Dietz United States
Patrick F. Horve United States
Yoshika S. Crider United States
André de Souza Melo Brazil
Chenkai Zhao relative to Pengcheng Zhao Hong Kong Pengcheng Zhao's profile →
Citations per field
00.5×
Pengcheng Zhao · 1×
Citations per year

Countries citing papers authored by Chenkai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Chenkai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 20251
6 20241
7 20240
8 20233
9 20232
10 202211
11 20221
12 20217
13 202135
14 202137
15 202111
16 20216
17 202011
18 2020292
19 201947
20 201913

About Chenkai Zhao

Chenkai Zhao is a scholar working on Health, Toxicology and Mutagenesis, Modeling and Simulation, Surfaces, Coatings and Films, Environmental Engineering and Nutrition and Dietetics, having authored 20 papers that have together received 478 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (3 papers), Cardiovascular Disease and Adiposity (2 papers), Air Quality Monitoring and Forecasting (2 papers), COVID-19 epidemiological studies (2 papers), Climate Change and Health Impacts (2 papers), Advanced Photocatalysis Techniques (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Energy, Environment, Economic Growth (1 paper). The work is most often cited by research in Modeling and Simulation (225 citations), Health, Toxicology and Mutagenesis (111 citations), Global and Planetary Change (148 citations), Economics and Econometrics (146 citations) and Surfaces, Coatings and Films (30 citations). Chenkai Zhao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Peng Shi, Wei Liu, Shixing Tang, Miao He, Xiaoyang Li, Shuhua Xi, Yinqiao Dong, Huanchang Yan, Miao He and Huan Wang. Their work appears in journals such as The Science of The Total Environment, Air Quality Atmosphere & Health, International Journal of Surgery, Frontiers in Microbiology and BioData Mining.

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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