Hyungjin Kim

6.2k citations
253 papers · 5.0k indexed · h-index 36

Hyungjin Kim

232 papers receiving 4.8k citations

Peers

Hyungjin Kim
Comparison fields: 5 of 164
  • Electrical and Electronic Engineering 3.6k
  • Cellular and Molecular Neuroscience 1.0k
  • Renewable Energy, Sustainability and the Environment 464
  • Polymers and Plastics 363
  • Cognitive Neuroscience 495
Replace Qing Wu with:
Qing Wu United States
Sang‐Bum Kim South Korea
Yuan Wang China
Yanfeng Wang China
Sandro Carrara Switzerland
Chao Lü United States
Peng Lin China
Yi Shi China
Yi Li China
Jong‐Ho Lee South Korea
Hyungjin Kim relative to Qing Wu United States Qing Wu's profile →
Citations per field
00.5×2.9×
Qing Wu · 1×
Citations per year

Countries citing papers authored by Hyungjin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyungjin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20246
5 202431
6 20247
7 20240
8 202413
9 202410
10 202411
11 20239
12 202357
13 202228
14 202144
15 201840
16 2018107
17
CMOS Analog Integrate-and-fire Neuron Circuit for Driving Memristor based on RRAM
20174
18
Boolean logic circuit implementaion using multi-input floating-body MOSFET
20152
19
Synthesis and Herbicidal Activities of N-Phenyl Oxadiazolidinedione Derivatives
19930
20
Temperature Dependence in Adsorption of Benzene-Cyclohexane Mixtures on NaY Zeolite
19822

About Hyungjin Kim

Hyungjin Kim is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 253 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (96 papers), Ferroelectric and Negative Capacitance Devices (47 papers), Neuroscience and Neural Engineering (40 papers), Semiconductor materials and devices (39 papers), Advancements in Semiconductor Devices and Circuit Design (23 papers), CCD and CMOS Imaging Sensors (21 papers), Neural dynamics and brain function (18 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.6k citations), Cellular and Molecular Neuroscience (1.0k citations) and Renewable Energy, Sustainability and the Environment (464 citations). Hyungjin Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Byung‐Gook Park, Sungmin Hwang, John Villasenor, Young‐Kyu Han, Hussein Nili, Dmitri B. Strukov, Mohammad Reza Mahmoodi, Tae‐Hyeon Kim, Min‐Hwi Kim and Sungjun Kim. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

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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