Taekwang Jang

1.8k total citations
90 papers, 1.3k citations indexed

About

Taekwang Jang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Taekwang Jang has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Electrical and Electronic Engineering, 46 papers in Biomedical Engineering and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Taekwang Jang's work include Analog and Mixed-Signal Circuit Design (39 papers), Advancements in PLL and VCO Technologies (28 papers) and Radio Frequency Integrated Circuit Design (22 papers). Taekwang Jang is often cited by papers focused on Analog and Mixed-Signal Circuit Design (39 papers), Advancements in PLL and VCO Technologies (28 papers) and Radio Frequency Integrated Circuit Design (22 papers). Taekwang Jang collaborates with scholars based in Switzerland, United States and South Korea. Taekwang Jang's co-authors include David Blaauw, Dennis Sylvester, SeongHwan Cho, Young‐Gyu Yoon, Jaewook Kim, Myungjoon Choi, Seokhyeon Jeong, Hun-Seok Kim, Kyojin Choo and Jongyup Lim and has published in prestigious journals such as Applied Physics Letters, Sensors and IEEE Journal of Solid-State Circuits.

In The Last Decade

Taekwang Jang

80 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taekwang Jang Switzerland 20 1.1k 739 195 128 123 90 1.3k
Azita Emami United States 23 1.0k 0.9× 493 0.7× 198 1.0× 47 0.4× 137 1.1× 77 1.5k
Marco Crepaldi Italy 19 615 0.6× 572 0.8× 174 0.9× 63 0.5× 168 1.4× 115 1.1k
Zhiyoong Foo United States 21 1.3k 1.2× 766 1.0× 144 0.7× 298 2.3× 47 0.4× 36 1.6k
Torsten Lehmann Australia 18 1.0k 0.9× 505 0.7× 400 2.1× 77 0.6× 208 1.7× 116 1.3k
Milutin Stanaćević United States 18 1.1k 1.0× 721 1.0× 331 1.7× 111 0.9× 116 0.9× 119 1.6k
Carlos Galup‐Montoro Brazil 22 1.9k 1.7× 1.3k 1.8× 161 0.8× 185 1.4× 27 0.2× 132 2.1k
Ming‐Dou Ker Taiwan 31 4.6k 4.1× 687 0.9× 404 2.1× 226 1.8× 228 1.9× 455 4.9k
Marvin Onabajo United States 19 1.1k 1.0× 810 1.1× 112 0.6× 60 0.5× 27 0.2× 98 1.4k
Tetsuya Hirose Japan 22 2.2k 2.0× 1.2k 1.6× 92 0.5× 318 2.5× 60 0.5× 206 2.4k
Kian Ann Ng Singapore 12 672 0.6× 951 1.3× 464 2.4× 89 0.7× 342 2.8× 37 1.2k

Countries citing papers authored by Taekwang Jang

Since Specialization
Citations

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

Fields of papers citing papers by Taekwang Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taekwang Jang. 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 Taekwang Jang. The network helps show where Taekwang Jang may publish in the future.

Co-authorship network of co-authors of Taekwang Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Taekwang Jang. A scholar is included among the top collaborators of Taekwang Jang 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 Taekwang Jang. Taekwang Jang 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.
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Laleni, Nellie, et al.. (2024). Single Slope ADC with Reset Counting for FeFET-based In-Memory Computing. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–5. 2 indexed citations
3.
Jang, Taekwang, et al.. (2024). An Impedance-Boosted Transformer-First Discrete-Time Analog Front-End Achieving 0.34 NEF and 389-MΩ Input Impedance. IEEE Journal of Solid-State Circuits. 59(4). 1026–1037. 5 indexed citations
4.
Jang, Taekwang, et al.. (2024). Design Challenges of Fully Integrated DC–DC Converters for Modern Power Delivery Architectures. IEEE Solid-State Circuits Letters. 7. 267–270. 1 indexed citations
5.
Incandela, Rosario, et al.. (2023). A Compact and PVT-Robust Segmented Duty-Cycled Resistor Realizing TΩ Impedances for Neural Recording Interface Circuits. IEEE Solid-State Circuits Letters. 6. 25–28. 11 indexed citations
6.
Hall, Drew A., Kofi A. A. Makinwa, & Taekwang Jang. (2023). Quantifying Biomedical Amplifier Efficiency: The noise efficiency factor. IEEE Solid-State Circuits Magazine. 15(2). 28–33. 11 indexed citations
7.
8.
Francese, Pier Andrea, Matthias Brändli, Marcel Kossel, et al.. (2023). An 8b 1.0-to-1.25 GS/s Time-Based ADC With Bipolar VTC and Sense Amplifier Latch Interpolated Gated Ring Oscillator TDC. IEEE Solid-State Circuits Letters. 6. 193–196. 4 indexed citations
9.
Incandela, Rosario, et al.. (2022). An Impedance-boosted Switched-capacitor Low-noise Amplifier Achieving 0.4 NEF. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 116–117. 5 indexed citations
10.
Lim, Jongyup, Jungho Lee, Eunseong Moon, et al.. (2022). A Light-Tolerant Wireless Neural Recording IC for Motor Prediction With Near-Infrared-Based Power and Data Telemetry. IEEE Journal of Solid-State Circuits. 57(4). 1061–1074. 17 indexed citations
11.
Nason, Samuel R., Jungho Lee, Jongyup Lim, et al.. (2022). A low-power communication scheme for wireless, 1000 channel brain–machine interfaces. Journal of Neural Engineering. 19(3). 36037–36037. 6 indexed citations
12.
Jang, Taekwang, et al.. (2021). A 2.3-GHz Fully Integrated DC–DC Converter Based on Electromagnetically Coupled Class-D LC Oscillators Achieving 78.1% Efficiency in 22-nm FDSOI CMOS. IEEE Solid-State Circuits Letters. 4. 218–221. 1 indexed citations
13.
Choo, Kyojin, et al.. (2021). Reference Oversampling PLL Achieving −256-dB FoM and −78-dBc Reference Spur. IEEE Journal of Solid-State Circuits. 56(10). 2993–3007. 20 indexed citations
14.
Xu, Li, Taekwang Jang, Jongyup Lim, et al.. (2021). A 510-pW 32-kHz Crystal Oscillator With High Energy-to-Noise-Ratio Pulse Injection. IEEE Journal of Solid-State Circuits. 57(2). 434–451. 7 indexed citations
15.
Jang, Taekwang, et al.. (2021). A 1.25-GHz Fully Integrated DC–DC Converter Using Electromagnetically Coupled Class-D LC Oscillators. IEEE Journal of Solid-State Circuits. 56(12). 3639–3654. 8 indexed citations
16.
Choo, Kyojin, et al.. (2020). A 67-fsrms Jitter, −130 dBc/Hz In-Band Phase Noise, −256-dB FoM Reference Oversampling Digital PLL With Proportional Path Timing Control. IEEE Solid-State Circuits Letters. 3. 430–433. 9 indexed citations
17.
Nason, Samuel R., Alex K. Vaskov, Matthew S. Willsey, et al.. (2020). A low-power band of neuronal spiking activity dominated by local single units improves the performance of brain–machine interfaces. Nature Biomedical Engineering. 4(10). 973–983. 78 indexed citations
18.
Choo, Kyojin, Sechang Oh, Inhee Lee, et al.. (2019). An Efficient Piezoelectric Energy Harvesting Interface Circuit Using a Sense-and-Set Rectifier. IEEE Journal of Solid-State Circuits. 54(12). 3348–3361. 35 indexed citations
19.
Jang, Taekwang, Jongyup Lim, Kyojin Choo, et al.. (2018). A Noise-Efficient Neural Recording Amplifier Using Discrete-Time Parametric Amplification. IEEE Solid-State Circuits Letters. 1(11). 203–206. 7 indexed citations
20.
Jang, Taekwang, Seokhyeon Jeong, Dongsuk Jeon, et al.. (2017). A Noise Reconfigurable All-Digital Phase-Locked Loop Using a Switched Capacitor-Based Frequency-Locked Loop and a Noise Detector. IEEE Journal of Solid-State Circuits. 53(1). 50–65. 14 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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