Kan Fu

1.5k citations
26 papers · 1.2k · 1 hit paper · h-index 12

Impact in

Papers in

Kan Fu

25 papers receiving 1.2k citations

Kan Fu's Hit Papers

Power-Up SRAM State as an Identifying Fingerprint and Source of True Random Numbers 2008 · 672 citations
6720+6+12Years since publication200400600

Peers

Kan Fu
Comparison fields: 5 of 88
  • Hardware and Architecture 681
  • Cellular and Molecular Neuroscience 267
  • Electrical and Electronic Engineering 809
  • Signal Processing 102
  • Biophysics 36
Replace Dick James with:
Dick James Canada
Navid Asadizanjani United States
Santiago Celma Spain
Vikram Suresh United States
Peilin Song United States
Nikolaos Papandreou Switzerland
Adoracion Rueda Spain
Duncan G. Elliott Canada
Guy Satat United States
Marco Lanuzza Italy
Kan Fu relative to Dick James Canada Dick James's profile →
Citations per field
00.5×2×3×3.7×
Dick James · 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 26 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 →
2008672
2 2013204
3 201990
4 200861
5 201635
6 201221
7 201318
8 200514
9 201314
10 201914
11 202013
12 201612
13 201910
14 201310
15
Experimental detection of terahertz radiation in bundles of single wall carbon nanotubes
20087
16 20157
17 20144
18 20093
19
Highly Packaged HEB Receivers Using Three-Dimensional Integration
20072
20 20191

About Kan Fu

Kan Fu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Electrochemistry, Astronomy and Astrophysics and Hardware and Architecture, having authored 26 papers that have together received 1.2k 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), Physical Unclonable Functions (PUFs) and Hardware Security (2 papers) and Electrochemical Analysis and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (681 citations), Cellular and Molecular Neuroscience (267 citations), Electrical and Electronic Engineering (809 citations), Signal Processing (102 citations) and Biophysics (36 citations). Kan Fu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Daniel E. Holcomb, Wayne P. Burleson, Daniel B. Kramer, Shane S. Clark, John Backes, Matthew R. Reynolds, Yongdae Kim, Denis Foo Kune, Wenyuan Xu and Brian G. Willis. Their work appears in journals such as ACS Sensors, Sensors, Applied Physics Letters, Nature Materials and Nanoscale.

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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