Jongyup Lim

725 total citations
25 papers, 529 citations indexed

About

Jongyup Lim is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jongyup Lim has authored 25 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Biomedical Engineering. Recurrent topics in Jongyup Lim's work include Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (9 papers) and Analog and Mixed-Signal Circuit Design (6 papers). Jongyup Lim is often cited by papers focused on Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (9 papers) and Analog and Mixed-Signal Circuit Design (6 papers). Jongyup Lim collaborates with scholars based in United States, Switzerland and Japan. Jongyup Lim's co-authors include David Blaauw, Dennis Sylvester, Taekwang Jang, Yejoong Kim, Sechang Oh, Hun-Seok Kim, Yiqun Zhang, Qing Dong, Seokhyeon Jeong and Zhehong Wang and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Journal of Lightwave Technology and ACS Photonics.

In The Last Decade

Jongyup Lim

24 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jongyup Lim United States 14 426 178 85 84 67 25 529
Seungchul Jung South Korea 12 671 1.6× 133 0.7× 67 0.8× 107 1.3× 72 1.1× 37 747
Hao Gao Netherlands 19 1.0k 2.4× 220 1.2× 119 1.4× 53 0.6× 72 1.1× 136 1.1k
Erik Bruun Denmark 18 708 1.7× 594 3.3× 154 1.8× 44 0.5× 34 0.5× 91 826
Khalil Mafinezhad Iran 12 587 1.4× 364 2.0× 78 0.9× 74 0.9× 14 0.2× 54 669
Hiroshi Fuketa Japan 18 824 1.9× 346 1.9× 48 0.6× 33 0.4× 121 1.8× 91 935
Alexandre Valentian France 16 622 1.5× 86 0.5× 62 0.7× 49 0.6× 15 0.2× 59 708
Sheng-Yu Peng United States 14 555 1.3× 389 2.2× 98 1.2× 78 0.9× 11 0.2× 75 696
Hoonki Kim South Korea 13 482 1.1× 154 0.9× 26 0.3× 19 0.2× 91 1.4× 35 583
Xiaoyang Zhang China 11 288 0.7× 388 2.2× 89 1.0× 17 0.2× 28 0.4× 39 544
Andrew Pannone United States 13 571 1.3× 164 0.9× 123 1.4× 24 0.3× 24 0.4× 20 789

Countries citing papers authored by Jongyup Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jongyup Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongyup Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Jongyup Lim. A scholar is included among the top collaborators of Jongyup Lim 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 Jongyup Lim. Jongyup Lim 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.
Nason, Samuel R., Jongyup Lim, Matthew S. Willsey, et al.. (2022). A Power-Efficient Brain-Machine Interface System With a Sub-mw Feature Extraction and Decoding ASIC Demonstrated in Nonhuman Primates. IEEE Transactions on Biomedical Circuits and Systems. 16(3). 395–408. 22 indexed citations
2.
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
3.
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
4.
Lim, Jongyup, Jiawei Liao, Jungho Lee, et al.. (2022). A 260×274 μm2 572 nW Neural Recording Micromote Using Near-Infrared Power Transfer and an RF Data Uplink. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 64–65. 5 indexed citations
5.
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
6.
Moon, Eunseong, Jongyup Lim, Jungho Lee, et al.. (2021). Bridging the “Last Millimeter” Gap of Brain-Machine Interfaces via Near-Infrared Wireless Power Transfer and Data Communications. ACS Photonics. 8(5). 1430–1438. 21 indexed citations
7.
Lim, Jongyup, Jungho Lee, Eunseong Moon, et al.. (2021). A Light Tolerant Neural Recording IC for Near-Infrared-Powered Free Floating Motes. PubMed. 2021. 1–2. 12 indexed citations
8.
Lim, Jongyup, Eunseong Moon, Samuel R. Nason, et al.. (2020). 26.9 A 0.19×0.17mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry. PubMed. 2020. 416–418. 39 indexed citations
9.
Moon, Eunseong, et al.. (2020). Dual-Junction GaAs Photovoltaics for Low Irradiance Wireless Power Transfer in Submillimeter-Scale Sensor Nodes. IEEE Journal of Photovoltaics. 10(6). 1721–1726. 7 indexed citations
10.
Xu, Li, Taekwang Jang, Jongyup Lim, et al.. (2020). 3.3 A 0.51nW 32kHz Crystal Oscillator Achieving 2ppb Allan Deviation Floor Using High-Energy-to-Noise-Ratio Pulse Injection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 62–64. 12 indexed citations
11.
12.
Miyoshi, Satoru, David Blaauw, Dennis Sylvester, et al.. (2019). A Self-Tuning IoT Processor Using Leakage-Ratio Measurement for Energy-Optimal Operation. IEEE Journal of Solid-State Circuits. 55(1). 87–97. 38 indexed citations
13.
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
14.
Oh, Sechang, Hun-Seok Kim, Dennis Sylvester, et al.. (2019). An Acoustic Signal Processing Chip With 142-nW Voice Activity Detection Using Mixer-Based Sequential Frequency Scanning and Neural Network Classification. IEEE Journal of Solid-State Circuits. 54(11). 3005–3016. 40 indexed citations
15.
Choo, Kyojin, Sechang Oh, Inhee Lee, et al.. (2019). 27.2 An Adiabatic Sense and Set Rectifier for Improved Maximum-Power-Point Tracking in Piezoelectric Harvesting with 541% Energy Extraction Gain. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 422–424. 18 indexed citations
16.
Dong, Qing, Zhehong Wang, Jongyup Lim, et al.. (2018). A 1-Mb 28-nm 1T1MTJ STT-MRAM With Single-Cap Offset-Cancelled Sense Amplifier and <italic>In Situ</italic> Self-Write-Termination. IEEE Journal of Solid-State Circuits. 54(1). 231–239. 41 indexed citations
17.
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
18.
Jang, Taekwang, Jongyup Lim, Kyojin Choo, et al.. (2018). A 2.2 NEF Neural-Recording Amplifier Using Discrete-Time Parametric Amplification. PubMed. 2018. 237–238. 11 indexed citations
19.
Lim, Jongyup, Taekwang Jang, Mehdi Saligane, et al.. (2018). A 224 PW 260 PPM/°C Gate-Leakage-Based Timer for Ultra-Low Power Sensor Nodes with Second-Order Temperature Dependency Cancellation. 117–118. 13 indexed citations
20.

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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