J.B. Kuo

2.8k total citations · 1 hit paper
168 papers, 2.1k citations indexed

About

J.B. Kuo is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, J.B. Kuo has authored 168 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Electrical and Electronic Engineering, 27 papers in Biomedical Engineering and 17 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in J.B. Kuo's work include Advancements in Semiconductor Devices and Circuit Design (117 papers), Semiconductor materials and devices (83 papers) and Silicon Carbide Semiconductor Technologies (51 papers). J.B. Kuo is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (117 papers), Semiconductor materials and devices (83 papers) and Silicon Carbide Semiconductor Technologies (51 papers). J.B. Kuo collaborates with scholars based in Taiwan, Canada and China. J.B. Kuo's co-authors include Steve Granick, Sung Chul Bae, Bo Wang, Shih-Kai Lin, Tsung‐Chien Lu, Xinglai Ge, Bin Gou, Xiaoyun Feng, Shunliang Wang and T.G. Habetler and has published in prestigious journals such as Physical Review Letters, Nature Materials and Journal of Applied Physics.

In The Last Decade

J.B. Kuo

150 papers receiving 2.0k citations

Hit Papers

When Brownian diffusion is not Gaussian 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. When Brownian diffusion is not Gaussian
    2012 438 citations Bo Wang, J.B. Kuo et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.B. Kuo Taiwan 22 1.5k 353 210 201 164 168 2.1k
J.A. Burns United States 22 806 0.5× 257 0.7× 232 1.1× 49 0.2× 412 2.5× 66 2.2k
Yan Wang China 31 2.6k 1.8× 329 0.9× 284 1.4× 405 2.0× 40 0.2× 346 3.7k
Wei Lin China 28 1.9k 1.3× 567 1.6× 158 0.8× 754 3.8× 103 0.6× 263 2.8k
Y. C. Zhou United States 17 281 0.2× 288 0.8× 108 0.5× 187 0.9× 298 1.8× 32 1.4k
Yu Zhuang China 19 456 0.3× 135 0.4× 264 1.3× 302 1.5× 37 0.2× 110 1.5k
W. Sung South Korea 18 555 0.4× 744 2.1× 338 1.6× 208 1.0× 279 1.7× 50 1.3k
N. L. Schryer United States 11 509 0.3× 185 0.5× 223 1.1× 840 4.2× 32 0.2× 31 1.5k
Shravan Veerapaneni United States 17 166 0.1× 187 0.5× 81 0.4× 188 0.9× 94 0.6× 47 945

Countries citing papers authored by J.B. Kuo

Since Specialization
Citations

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

Fields of papers citing papers by J.B. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.B. Kuo. 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 J.B. Kuo. The network helps show where J.B. Kuo may publish in the future.

Co-authorship network of co-authors of J.B. Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of J.B. Kuo. A scholar is included among the top collaborators of J.B. Kuo 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 J.B. Kuo. J.B. Kuo 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.
Wang, Zhigang, et al.. (2018). Modeling of Breakdown Voltage for SOI Trench LDMOS Device Based on Conformal Mapping. IEEE Transactions on Electron Devices. 65(3). 1056–1062. 17 indexed citations
2.
Li, Yaping, Yong Wang, & J.B. Kuo. (2018). A new passive compensation structure for Chebyshev complex band‐pass filter design. Microwave and Optical Technology Letters. 60(10). 2397–2402. 3 indexed citations
3.
Kuo, J.B., et al.. (2013). Bursts of Active Transport in Living Cells. Physical Review Letters. 111(20). 208102–208102. 36 indexed citations
4.
5.
Wang, Bo, J.B. Kuo, Sung Chul Bae, & Steve Granick. (2012). When Brownian diffusion is not Gaussian. Nature Materials. 11(6). 481–485. 438 indexed citations breakdown →
6.
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Kuo, J.B., et al.. (2002). A 0.8-V 128-kb four-way set-associative two-level CMOS cache memory using two-stage wordline/bitline-oriented tag-compare (WLOTC/BLOTC) scheme. IEEE Journal of Solid-State Circuits. 37(10). 1307–1317. 21 indexed citations
9.
Kuo, J.B., et al.. (2001). A 0.8V, 9ns, 0.77mW at 50MHz, 128kb, four-way, set-associative, 2-level CMOS cache memory using two-stage WLOTC/BLOTC tag-compare scheme and sense wordlines/bitlines (SWL/SBL) tag sense amps with an 8-T tag cell in level 2 and a 10-T shrunk logic swing (SLS) memory cell with the ground/floating (G/F) data sense amp in level 1. European Solid-State Circuits Conference. 289–292.
10.
Kuo, J.B., et al.. (2000). A closed-form back-gate-bias related inverse narrow-channel effect model for deep-submicron VLSI CMOS devices using shallow trench isolation. IEEE Transactions on Electron Devices. 47(4). 725–733. 19 indexed citations
11.
Kuo, J.B., et al.. (1998). CMOS VLSI engineering: silicon-on-insulator (SOI). CERN Document Server (European Organization for Nuclear Research). 39 indexed citations
12.
Kuo, J.B., et al.. (1995). A 1.5 V full-swing BiCMOS dynamic logic gate circuit suitable for VLSI using low-voltage BiCMOS technology. IEEE Journal of Solid-State Circuits. 30(1). 73–75. 5 indexed citations
13.
Kuo, J.B., et al.. (1994). A fully analytical transient model for an ECL inverter using a partitioned-charge-based BJT model. IEEE Transactions on Electron Devices. 41(5). 864–867. 1 indexed citations
14.
Kuo, J.B., et al.. (1993). An analytical quasi-saturation model for vertical DMOS power transistors. IEEE Transactions on Electron Devices. 40(3). 676–679. 12 indexed citations
15.
Kuo, J.B. & Tsung‐Chien Lu. (1993). A fully analytical low-temperature forward-transit-time model for bipolar devices operating at 77 K. Solid-State Electronics. 36(6). 917–921. 3 indexed citations
16.
Kuo, J.B. & C.S. Chen. (1993). Analytical drain current model for a-Si:H TFTs by simultaneously considering localised deep and tail states. Electronics Letters. 29(17). 1566–1568. 1 indexed citations
17.
Kuo, J.B., et al.. (1992). BiCMOS dynamic full adder circuit for high-speed parallel multipliers. Electronics Letters. 28(12). 1124–1126. 5 indexed citations
18.
Kuo, J.B., et al.. (1992). Coded block neural network VLSI system using an adaptive learning-rate technique to train chinese character patterns. Electronics Letters. 28(21). 1941–1942. 1 indexed citations
19.
Lu, Tsung‐Chien & J.B. Kuo. (1991). Explicit analytical expressions for intrinsic base resistance and cutoff frequency of bipolar transistors biased at high injection. Solid-State Electronics. 34(10). 1113–1117. 3 indexed citations
20.
Noordhoff, M. Samuel, et al.. (1987). Development of Articulation Before Delayed Hard-Palate Closure in Children with Cleft Palate. Plastic & Reconstructive Surgery. 80(4). 518–524. 40 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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