Jin Lee

793 citations
30 papers · 163 · h-index 6

Impact in

Papers in

Jin Lee

26 papers receiving 144 citations

Peers

Jin Lee
Comparison fields: 5 of 68
  • Hardware and Architecture 24
  • Signal Processing 36
  • Computer Vision and Pattern Recognition 62
  • Computer Networks and Communications 51
  • Human-Computer Interaction 6
Replace Taehyun Kim with:
Taehyun Kim South Korea
Sara Rampazzi United States
T. Jayachandra Prasad India
J. O'Neill United States
Thanh‐Ha Le France
Gokce Keskin United States
Kaushal Kumar India
Xinpeng Xing China
Gwangsoon Lee South Korea
Lars-Åke Larzon Sweden
Jin Lee relative to Taehyun Kim South Korea Taehyun Kim's profile →
Citations per field
00.5×2.7×
Taehyun Kim · 1×
Citations per year

Countries citing papers authored by Jin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201638
2 201036
3 200611
4 200510
5 20149
6 20197
7 20165
8 20165
9 20075
10
Transaction level model simulator for NoC-based MPSoC platform
20073
11 20053
12 20193
13 20153
14 20133
15 20063
16 20063
17
Development of Intelligent Magnetic Guidance System for Bus Rapid Transit
20052
18
An Iterative SNR Estimator for Link Adaptation in IEEE 802.11n System
20082
19 20062
20 20082

About Jin Lee

Jin Lee is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 30 papers that have together received 163 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (8 papers), Embedded Systems Design Techniques (7 papers), VLSI and Analog Circuit Testing (4 papers), Parallel Computing and Optimization Techniques (4 papers), Cooperative Communication and Network Coding (3 papers), Radio Frequency Integrated Circuit Design (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers) and Educational Systems and Policies (2 papers). The work is most often cited by research in Hardware and Architecture (24 citations), Signal Processing (36 citations), Computer Vision and Pattern Recognition (62 citations), Computer Networks and Communications (51 citations) and Human-Computer Interaction (6 citations). Jin Lee has collaborated with scholars based in South Korea, United States and Ukraine. Frequent co-authors include Jungsun Kim, Sin‐Chong Park, Daijin Kim, Il-Gu Lee, Choul‐Young Kim, Jung Hoon Lee, Hayder Radha, Jae-Hwan Cho, Seungbeom Lee and Anshul Kundaje. Their work appears in journals such as Applied Sciences, Pattern Recognition, IEICE Transactions on Information and Systems, Journal of Magnetics and Mobile Information 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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