Kan Fu

1.5k citations
27 papers · 1.1k · 1 hit paper · h-index 12

Impact in

Papers in

Kan Fu

25 papers receiving 1.1k citations

Kan Fu's Hit Papers

Power-Up SRAM State as an Identifying Fingerprint and Source of True Random Numbers 2008 · 586 citations
5860+6+12Years since publication100200300400500

Peers

Kan Fu
Comparison fields: 5 of 87
  • Hardware and Architecture 600
  • Cellular and Molecular Neuroscience 229
  • Electrical and Electronic Engineering 739
  • Signal Processing 97
  • Biophysics 30
Replace Masoud Rostami with:
Masoud Rostami United States
Navid Asadizanjani United States
A. Rueda Spain
Stanisław Szczepański Poland
Peilin Song United States
S. Celma Spain
Marco Lanuzza Italy
D.G. Elliott Canada
Nikolaos Papandreou Switzerland
Vikram Suresh United States
Kan Fu relative to Masoud Rostami United States Masoud Rostami's profile →
Citations per field
00.5×1.5×
Masoud Rostami · 1×
Citations per year

Countries citing papers authored by Kan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Power-Up SRAM State as an Identifying Fingerprint and Source of True Random Numbers
Hit paper breakdown →
2008586
2 2013185
3 201986
4 200862
5 201635
6 201221
7 201318
8 201914
9 200513
10 202013
11 201313
12 201613
13 201311
14 201910
15
Experimental detection of terahertz radiation in bundles of single wall carbon nanotubes
20086
16 20155
17 20144
18 20093
19 20082
20
Highly Packaged HEB Receivers Using Three-Dimensional Integration
20072

About Kan Fu

Kan Fu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Materials Chemistry and Molecular Biology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (5 papers), Biosensors and Analytical Detection (4 papers), Terahertz technology and applications (4 papers), Semiconductor materials and devices (3 papers), Superconducting and THz Device Technology (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cryptographic Implementations and Security (2 papers) and Microwave Engineering and Waveguides (2 papers). The work is most often cited by research in Hardware and Architecture (600 citations), Cellular and Molecular Neuroscience (229 citations), Electrical and Electronic Engineering (739 citations), Signal Processing (97 citations) and Biophysics (30 citations). Kan Fu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Wayne Burleson, Daniel Holcomb, Matthew R. Reynolds, Yongdae Kim, Wenyuan Xu, John Backes, Daniel B. Kramer, Shane S. Clark, Denis Foo Kune and Brian G. Willis. Their work appears in journals such as Environmental Research Communications, Journal of Radioanalytical and Nuclear Chemistry, ACS Sensors, Langmuir and Nature Materials.

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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