Ku-Feng Lin

1.2k total citations
22 papers, 738 citations indexed

About

Ku-Feng Lin is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Ku-Feng Lin has authored 22 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 4 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Ku-Feng Lin's work include Semiconductor materials and devices (12 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Advanced Memory and Neural Computing (8 papers). Ku-Feng Lin is often cited by papers focused on Semiconductor materials and devices (12 papers), Ferroelectric and Negative Capacitance Devices (10 papers) and Advanced Memory and Neural Computing (8 papers). Ku-Feng Lin collaborates with scholars based in Taiwan, United States and Netherlands. Ku-Feng Lin's co-authors include Meng‐Fan Chang, Yu-Der Chih, Jonathan Chang, Ya‐Chin King, Chao‐Sheng Cheng, Ping‐Chiang Lyu, Chorng-Jung Lin, Che-Wei Wu, Dharmaraj Samuel and S. Natarajan and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Ku-Feng Lin

21 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ku-Feng Lin Taiwan 15 469 181 79 56 51 22 738
Shiqing Li China 13 121 0.3× 164 0.9× 27 0.3× 12 0.2× 51 1.0× 44 495
Tianrui Zhang China 11 250 0.5× 262 1.4× 304 3.8× 39 0.7× 105 2.1× 29 756
Shin-Hee Han South Korea 10 419 0.9× 81 0.4× 99 1.3× 93 1.7× 91 1.8× 20 590
Albert Lee United States 17 546 1.2× 156 0.9× 188 2.4× 24 0.4× 104 2.0× 43 879
Dong Uk Kim South Korea 15 364 0.8× 161 0.9× 35 0.4× 29 0.5× 128 2.5× 60 741
Manish Biyani Japan 14 212 0.5× 302 1.7× 15 0.2× 26 0.5× 34 0.7× 48 632
Wonjoo Kim South Korea 12 515 1.1× 130 0.7× 26 0.3× 14 0.3× 95 1.9× 24 827
Wei-Lun Hsu Taiwan 13 117 0.2× 444 2.5× 13 0.2× 37 0.7× 124 2.4× 26 794
Yihan Zhang China 14 410 0.9× 194 1.1× 38 0.5× 6 0.1× 156 3.1× 39 721
Minye Yang United States 14 135 0.3× 77 0.4× 172 2.2× 25 0.4× 49 1.0× 43 546

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-authorship network of co-authors of Ku-Feng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ku-Feng Lin. A scholar is included among the top collaborators of Ku-Feng Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ku-Feng Lin. Ku-Feng Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chang, Tsung-Yung Jonathan, Yen-Huei Chen, Po‐Sheng Wang, et al.. (2025). A 38.1Mb/mm2 SRAM in a 2nm-CMOS-Nanosheet Technology for High-Density and Energy-Efficient Compute. 492–494.
2.
Lin, Ku-Feng, et al.. (2021). Molecular basis of tail-anchored integral membrane protein recognition by the cochaperone Sgt2. Journal of Biological Chemistry. 296. 100441–100441. 17 indexed citations
3.
Shih, Yi-Chun, Chia-Fu Lee, Po-Hao Lee, et al.. (2020). A Reflow-capable, Embedded 8Mb STT-MRAM Macro with 9nS Read Access Time in 16nm FinFET Logic CMOS Process. 35 indexed citations
4.
Shih, Yi-Chun, Chia-Fu Lee, Po-Hao Lee, et al.. (2019). Logic Process Compatible 40-nm 16-Mb, Embedded Perpendicular-MRAM With Hybrid-Resistance Reference, Sub-$\mu$ A Sensing Resolution, and 17.5-nS Read Access Time. IEEE Journal of Solid-State Circuits. 54(4). 1029–1038. 32 indexed citations
5.
6.
7.
Chang, Meng‐Fan, Jui-Jen Wu, Yen‐Chen Liu, et al.. (2015). Low ${\rm VDDmin}$ Swing-Sample-and-Couple Sense Amplifier and Energy-Efficient Self-Boost-Write-Termination Scheme for Embedded ReRAM Macros Against Resistance and Switch-Time Variations. IEEE Journal of Solid-State Circuits. 50(11). 2786–2795. 22 indexed citations
8.
Chang, Meng‐Fan, Jui-Jen Wu, Yen‐Chen Liu, et al.. (2014). 19.4 embedded 1Mb ReRAM in 28nm CMOS with 0.27-to-1V read using swing-sample-and-couple sense amplifier and self-boost-write-termination scheme. 332–333. 121 indexed citations
9.
Huang, Yichen, et al.. (2013). Inhibition of TDP-43 Aggregation by Nucleic Acid Binding. PLoS ONE. 8(5). e64002–e64002. 66 indexed citations
10.
Chang, Meng‐Fan, Che-Wei Wu, Ku-Feng Lin, et al.. (2013). A Low-Voltage Bulk-Drain-Driven Read Scheme for Sub-0.5 V 4 Mb 65 nm Logic-Process Compatible Embedded Resistive RAM (ReRAM) Macro. IEEE Journal of Solid-State Circuits. 48(9). 2250–2259. 25 indexed citations
11.
Chang, Meng‐Fan, Shyh-Shyuan Sheu, Ku-Feng Lin, et al.. (2013). A High-Speed 7.2-ns Read-Write Random Access 4-Mb Embedded Resistive RAM (ReRAM) Macro Using Process-Variation-Tolerant Current-Mode Read Schemes. IEEE Journal of Solid-State Circuits. 48(3). 878–891. 78 indexed citations
12.
Lin, Ku-Feng, et al.. (2012). Cotranslational Protein Folding within the Ribosome Tunnel Influences Trigger-Factor Recruitment. Biophysical Journal. 102(12). 2818–2827. 21 indexed citations
13.
Chang, Meng‐Fan, Ku-Feng Lin, Shyh-Shyuan Sheu, et al.. (2012). Circuit design challenges and trends in read sensing schemes for resistive-type emerging nonvolatile memory. 1–4. 6 indexed citations
14.
15.
Chiu, Pi-Feng, Meng‐Fan Chang, Shyh-Shyuan Sheu, et al.. (2010). A low store energy, low VDDmin, nonvolatile 8T2R SRAM with 3D stacked RRAM devices for low power mobile applications. 229–230. 35 indexed citations
16.
Chang, Meng‐Fan, et al.. (2010). A 0.29V embedded NAND-ROM in 90nm CMOS for ultra-low-voltage applications. 266–267. 13 indexed citations
17.
Chang, Meng‐Fan, et al.. (2010). Noise-Immune Embedded NAND-ROM Using a Dynamic Split Source-Line Scheme for VDDmin and Speed Improvements. IEEE Journal of Solid-State Circuits. 45(10). 2142–2155. 6 indexed citations
18.
Lin, Ku-Feng, You‐Nian Liu, Shang‐Te Danny Hsu, et al.. (2005). Characterization and Structural Analyses of Nonspecific Lipid Transfer Protein 1 from Mung Bean,. Biochemistry. 44(15). 5703–5712. 58 indexed citations
19.
Lin, Ku-Feng, You‐Nian Liu, Shang‐Te Danny Hsu, et al.. (2005). Characterization and Structural Analyses of Nonspecific Lipid Transfer Protein 1 from Mung Bean. Biochemistry. 44(34). 11646–11646. 1 indexed citations
20.
Cheng, Chao‐Sheng, et al.. (2004). Evaluation of plant non-specific lipid-transfer proteins for potential application in drug delivery. Enzyme and Microbial Technology. 35(6-7). 532–539. 17 indexed citations

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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