C.K. Un

2.3k citations
175 papers · 1.6k indexed · h-index 19

C.K. Un

158 papers receiving 1.4k citations

Peers

C.K. Un
Comparison fields: 5 of 65
  • Signal Processing 747
  • Computer Networks and Communications 567
  • Computational Mechanics 454
  • Management Information Systems 154
  • Computer Vision and Pattern Recognition 273
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C. Weinstein United States
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Janne Lehtomäki Finland
Husheng Li United States
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Nazanin Rahnavard United States
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Citations per field
00.5×4.1×
C. Weinstein · 1×
Citations per year

Countries citing papers authored by C.K. Un

Since Specialization
Citations

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

Fields of papers citing papers by C.K. Un

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.K. Un. 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 C.K. Un. The network helps show where C.K. Un may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20051
2 20021
3 20023
4
An Efficient Wireless Voice/Data Integrated Access Algorithm in Noisy Channel Environments
19966
5
Block Conjugate Gradient Algorithm Using SSOR-preconditioning Technique
19960
6 19960
7 19966
8
Performance of an ATM Multiplexer with Selective Cell Discarding for On-Off Bursty Traffics
19952
9 19951
10 19943
11 19934
12
Design and Performance Analysis of an Asynchronous Non-Blocking Switch with Window Policy
19921
13 19913
14 19911
15
Multiaccess Performance of a Code Division Multiple Access Local Area Network
19892
16 19882
17 19875
18
Performance of an M-Ary MSK Spread Spectrum System
19861
19 198416
20
A performance comparison of ADPCM and ADM coders
19802

About C.K. Un

C.K. Un is a scholar working on Signal Processing, Computer Networks and Communications, Computational Mechanics, Management Information Systems and Computer Vision and Pattern Recognition, having authored 175 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (52 papers), Advanced Adaptive Filtering Techniques (47 papers), Wireless Communication Networks Research (30 papers), Advanced Data Compression Techniques (26 papers), Network Traffic and Congestion Control (25 papers), Speech Recognition and Synthesis (24 papers), Blind Source Separation Techniques (22 papers) and Direction-of-Arrival Estimation Techniques (21 papers). The work is most often cited by research in Signal Processing (747 citations), Computer Networks and Communications (567 citations), Computational Mechanics (454 citations), Management Information Systems (154 citations) and Computer Vision and Pattern Recognition (273 citations). C.K. Un has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Chanho Yoon, Hakjune Lee, Nam Soo Kim, Young Han Kim, Jae Wook Kim, Hwang Lee, Jae Myun Lee, Oh‐Wook Kwon, Byung Chul Shin and Byung Chul Kim. Their work appears in journals such as Electronics Letters, IEEE Transactions on Communications, Proceedings of the IEEE, Signal Processing and IEEE Transactions on Signal Processing.

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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