Ku-Feng Lin

1.2k citations
22 papers · 738 · h-index 15

Impact in

Papers in

    • Semiconductor materials and devices 12
    • Ferroelectric and Negative Capacitance Devices 10
    • Advanced Memory and Neural Computing 8
    • Advancements in Semiconductor Devices and Circuit Design 3
    • Low-power high-performance VLSI design 2

Ku-Feng Lin

21 papers receiving 723 citations

Peers

Ku-Feng Lin
Comparison fields: 5 of 65
  • Electrical and Electronic Engineering 469
  • Hardware and Architecture 49
  • Neurology 48
  • Biotechnology 26
  • Genetics 31
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Citations per year

Countries citing papers authored by Ku-Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ku-Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ku-Feng Lin. 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 Ku-Feng Lin. The network helps show where Ku-Feng Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014121
2 201378
3 201270
4 201366
5 200462
6 200558
7 201035
8 202035
9 201335
10 201932
11 201325
12 201522
13 201221
14 202117
15 200417
16 201013
17 201813
18 20126
19 20106
20 20175

About Ku-Feng Lin

Ku-Feng Lin is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Computer Networks and Communications, Hardware and Architecture and Cell Biology, having authored 22 papers that have together received 738 indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Advanced Memory and Neural Computing (8 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Analog and Mixed-Signal Circuit Design (2 papers), Low-power high-performance VLSI design (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (469 citations), Hardware and Architecture (49 citations), Neurology (48 citations), Biotechnology (26 citations) and Genetics (31 citations). Ku-Feng Lin has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Yu-Der Chih, Meng‐Fan Chang, Jonathan Chang, Ya‐Chin King, Chao‐Sheng Cheng, Ping‐Chiang Lyu, Chorng-Jung Lin, Che-Wei Wu, Dharmaraj Samuel and S. Natarajan. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Biochemistry, Enzyme and Microbial Technology, Biophysical Journal and Journal of Biological Chemistry.

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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