Kan Fu

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

Kan Fu

25 papers receiving 1.1k citations

Hit Papers

Power-Up SRAM State as an Identifying Fingerprint and Sou...5802008202620142020100200300400500

Peers

Kan Fu
Comparison fields: 5 of 88
  • Hardware and Architecture 594
  • Electrical and Electronic Engineering 734
  • Cellular and Molecular Neuroscience 228
  • Signal Processing 97
  • Biophysics 29
Replace Masoud Rostami with:
Masoud Rostami United States
Navid Asadizanjani United States
A. Rueda Spain
Stanisław Szczepański Poland
Peilin Song United States
Nikolaos Papandreou Switzerland
D.G. Elliott Canada
Yasuhiro Takahashi Japan
S. Celma Spain
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-authorship network

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
#Work
1 202012
2 201914
3 201910
4 201984
5 20190
6 201613
7 20144
8 201317
9 2013184
10 20131
11 20131
12 201311
13 20131
14 201220
15 20093
16
Experimental detection of terahertz radiation in bundles of single wall carbon nanotubes
20086
17 200862
18 20082
19 20071
20 200513

About Kan Fu

Kan Fu is a scholar working on Nuclear Energy and Engineering, Electrochemistry, Hardware and Architecture, Electrical and Electronic Engineering and Radiological and Ultrasound Technology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (5 papers), Terahertz technology and applications (4 papers), Biosensors and Analytical Detection (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Superconducting and THz Device Technology (3 papers), Semiconductor materials and devices (3 papers), Radio Frequency Integrated Circuit Design (2 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Hardware and Architecture (594 citations), Electrical and Electronic Engineering (734 citations), Cellular and Molecular Neuroscience (228 citations), Signal Processing (97 citations) and Biophysics (29 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, Denis Foo Kune, Shane S. Clark, Wenyuan Xu, Yongdae Kim, Daniel B. Kramer, John Backes and Brian G. Willis. Their work appears in journals such as IEEE Transactions on Computers, ACS Sensors, Applied Physics Letters, Sensors and Actuators B Chemical and IEEE Microwave and Wireless Components Letters.

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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