Sangjin Kim

2.3k citations
129 papers · 1.7k · h-index 21

Impact in

Papers in

Sangjin Kim

116 papers receiving 1.6k citations

Peers

Sangjin Kim
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 429
  • Media Technology 174
  • Electrical and Electronic Engineering 944
  • Computer Networks and Communications 356
  • Hardware and Architecture 81
Replace Youngjoo Lee with:
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Satoshi Ono Japan
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Sangjin Kim relative to Youngjoo Lee South Korea Youngjoo Lee's profile →
Citations per field
00.5×8.7×
Youngjoo Lee · 1×
Citations per year

Countries citing papers authored by Sangjin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sangjin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012227
2 201287
3 201276
4 202067
5 200566
6 200459
7 202052
8 202151
9 201341
10 202135
11 202335
12 201033
13 201232
14 202230
15 200930
16 202127
17 201325
18 202324
19 202323
20 201420

About Sangjin Kim

Sangjin Kim is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Media Technology, having authored 129 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (32 papers), Ferroelectric and Negative Capacitance Devices (24 papers), Advanced Vision and Imaging (15 papers), Advanced Neural Network Applications (14 papers), Advanced Authentication Protocols Security (11 papers), Neural Networks and Reservoir Computing (11 papers), Advanced Image Processing Techniques (10 papers) and CCD and CMOS Imaging Sensors (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (429 citations), Media Technology (174 citations), Electrical and Electronic Engineering (944 citations), Computer Networks and Communications (356 citations) and Hardware and Architecture (81 citations). Sangjin Kim has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Heekuck Oh, Rasheed Hussain, Hoi‐Jun Yoo, Junggab Son, Joonki Paik, Sangyeob Kim, Hasoo Eun, Donghyeon Han, Won‐Seok Kang and Juhyoung Lee. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Consumer Electronics, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Micro and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

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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