Yeon-sup Lim

1.4k citations
30 papers · 998 · h-index 12

Impact in

Papers in

Yeon-sup Lim

27 papers receiving 958 citations

Peers

Yeon-sup Lim
Comparison fields: 5 of 47
  • Computer Networks and Communications 872
  • Computer Vision and Pattern Recognition 223
  • Signal Processing 108
  • Electrical and Electronic Engineering 448
  • Artificial Intelligence 176
Replace Aaron Schulman with:
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Yeon-sup Lim relative to Aaron Schulman United States Aaron Schulman's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yeon-sup Lim

Since Specialization
Citations

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

Fields of papers citing papers by Yeon-sup Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yeon-sup Lim, 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 Yeon-sup Lim Line = papers co-authored together Yeon-sup Lim 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 2013237
2 2011215
3 201799
4 201099
5 201466
6 201451
7 201551
8 201736
9 200827
10 201124
11 201919
12 200718
13 20229
14 20079
15 20208
16 20177
17
Traffic-aware decentralized AP selection for multi-rate in WLANs
20106
18 20215
19
Practical application of physical energy detection to recognize starvation in 802.11 wireless networks
20093
20 20192

About Yeon-sup Lim

Yeon-sup Lim is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering, having authored 30 papers that have together received 998 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (12 papers), Caching and Content Delivery (6 papers), Wireless Networks and Protocols (6 papers), Mobile Ad Hoc Networks (5 papers), Image and Video Quality Assessment (5 papers), Green IT and Sustainability (5 papers), Cooperative Communication and Network Coding (3 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Computer Networks and Communications (872 citations), Computer Vision and Pattern Recognition (223 citations), Signal Processing (108 citations), Electrical and Electronic Engineering (448 citations) and Artificial Intelligence (176 citations). Yeon-sup Lim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Don Towsley, Erich Nahum, Richard Gibbens, Yung‐Chih Chen, Ramin Khalili, Ashwin Rao, Arnaud Legout, Chadi Barakat, Walid Dabbous and Chong-kwon Kim. Their work appears in journals such as Applied Sciences, Electronics, ACM SIGMETRICS Performance Evaluation Review, IEEE Journal on Selected Areas in Communications and Zenodo (CERN European Organization for Nuclear Research).

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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