How-Foo Chen

408 citations
14 papers · 343 · h-index 10

Impact in

Papers in

    • Plasmonic and Surface Plasmon Research 3
    • Nanofabrication and Lithography Techniques 3
    • Advanced Biosensing Techniques and Applications 5
    • Advanced biosensing and bioanalysis techniques 2

How-Foo Chen

14 papers receiving 331 citations

Peers

How-Foo Chen
Comparison fields: 5 of 70
  • Biomedical Engineering 165
  • Clinical Biochemistry 18
  • Biophysics 15
  • Periodontics 8
  • Radiology, Nuclear Medicine and Imaging 40
Replace Steven C. Wasserman with:
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How-Foo Chen relative to Steven C. Wasserman United States Steven C. Wasserman's profile →
Citations per field
00.5×10×13.3×
Steven C. Wasserman · 1×
Citations per year

Countries citing papers authored by How-Foo Chen

Since Specialization
Citations

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

Fields of papers citing papers by How-Foo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside How-Foo 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 How-Foo Chen Line = papers co-authored together How-Foo Chen links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201297
2 201247
3 200946
4 200842
5 201132
6 200921
7 201517
8 200516
9 201110
10 20049
11 20163
12 20111
13 20101
14 20141

About How-Foo Chen

How-Foo Chen is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 14 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (5 papers), Plasmonic and Surface Plasmon Research (3 papers), Nanofabrication and Lithography Techniques (3 papers), Optical Network Technologies (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biomedical Engineering (165 citations), Clinical Biochemistry (18 citations), Biophysics (15 citations), Periodontics (8 citations) and Radiology, Nuclear Medicine and Imaging (40 citations). How-Foo Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ta‐Jen Yen, Oscar K. Lee, Jennifer Hui‐Chun Ho, Sheng-Kwang Hwang, Yu‐Ru V. Shih, Hsin-I Lin, Yi-Chun Kuo, Yuan-Deng Su, Shean-Jen Chen and Chi-Hung Lin. Their work appears in journals such as Biomaterials, IEEE Journal of Selected Topics in Quantum Electronics, Optics Communications, Stem Cell Research & Therapy and Journal of Biomedical Optics.

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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