Dabiao Chen

1.5k citations
19 papers · 1.0k · h-index 10

Impact in

    • Hydrogen embrittlement and corrosion behaviors in metals
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing

Papers in

Dabiao Chen

18 papers receiving 1.0k citations

Peers

Dabiao Chen
Comparison fields: 5 of 112
  • Metals and Alloys 103
  • Infectious Diseases 406
  • General Dentistry 28
  • Modeling and Simulation 54
  • Civil and Structural Engineering 220
Replace Can Cao with:
Can Cao China
Dahai Zhao China
Xin Dong China
Guofeng Chen China
Shanghai China
Marina Lukas Austria
Wenjie Wu China
Kaisong Wu China
Zhenghai Qu China
Qiaoling Deng China
Dabiao Chen relative to Can Cao China Can Cao's profile →
Citations per field
00.5×10×20×30×36.7×
Can Cao · 1×
Citations per year

Countries citing papers authored by Dabiao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dabiao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2020302
2 2020244
3 2019219
4 202062
5 201841
6 202136
7 201833
8 201825
9 201524
10 202120
11 20207
12 20217
13 20227
14 20226
15 20135
16 20234
17 20203
18 20242
19 20210

About Dabiao Chen

Dabiao Chen is a scholar working on Infectious Diseases, Epidemiology, Civil and Structural Engineering, Hepatology and Molecular Biology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), SARS-CoV-2 detection and testing (3 papers), Structural Response to Dynamic Loads (2 papers), Structural Load-Bearing Analysis (2 papers), Liver Diseases and Immunity (1 paper), Fire effects on concrete materials (1 paper), Liver Disease and Transplantation (1 paper) and Concrete Corrosion and Durability (1 paper). The work is most often cited by research in Metals and Alloys (103 citations), Infectious Diseases (406 citations), General Dentistry (28 citations), Modeling and Simulation (54 citations) and Civil and Structural Engineering (220 citations). Dabiao Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liang Peng, Zhanlian Huang, Wenxiong Xu, Ziying Lei, Zhiliang Gao, Jing Liu, Zhiliang Gao, Xuejun Li, Bingliang Lin and Qiumin Luo. Their work appears in journals such as Thin-Walled Structures, Medicine, International Journal of Infectious Diseases, BMC Gastroenterology and Synthetic and Systems Biotechnology.

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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