Zhongfu Chen

419 total citations
13 papers, 94 citations indexed

About

Zhongfu Chen is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Zhongfu Chen has authored 13 papers receiving a total of 94 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Biomedical Engineering. Recurrent topics in Zhongfu Chen's work include Biosensors and Analytical Detection (3 papers), SARS-CoV-2 detection and testing (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Zhongfu Chen is often cited by papers focused on Biosensors and Analytical Detection (3 papers), SARS-CoV-2 detection and testing (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Zhongfu Chen collaborates with scholars based in China and United States. Zhongfu Chen's co-authors include Gang Chen, Shengxiang Ge, Ningshao Xia, Huimin Kong, Jun Zhang, Shiyin Zhang, Yingbin Wang, Tingdong Li, Jin Wang and Dongxu Zhang and has published in prestigious journals such as Nucleic Acids Research, FEBS Letters and Sensors and Actuators B Chemical.

In The Last Decade

Zhongfu Chen

11 papers receiving 92 citations

Peers

Zhongfu Chen
Comparison fields: 5 of 38
  • Biomedical Engineering 33
  • Molecular Biology 29
  • Materials Chemistry 28
  • Civil and Structural Engineering 25
  • Infectious Diseases 20
Replace Liang-Chun Liu with:
Liang-Chun Liu Taiwan
Shifan Yang China
Neal S. Anderson United States
Kevin D. Ness United States
Tyler O. Shultz United States
H. Liang China
Y. He China
Wenhong Zu China
David Chargin United States
Liang-Chun Liu Taiwan View profile →
Citations per field, relative to Zhongfu Chen
Zhongfu Chen · 1×
Citations per year, relative to Zhongfu Chen
Zhongfu Chen · 1×

Countries citing papers authored by Zhongfu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhongfu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongfu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongfu Chen. A scholar is included among the top collaborators of Zhongfu Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhongfu Chen. Zhongfu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 3
3 14
4 23
5 3
6 1
7 0
8 2
9 38
10
Damage Analysis of Concrete Subject to Explosive Loading
1
11 4
12 3
13 2

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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