Yeon-sup Lim

1.5k citations
32 papers · 1.1k · h-index 13

Impact in

Papers in

Yeon-sup Lim

28 papers receiving 1.0k citations

Peers

Yeon-sup Lim
Comparison fields: 5 of 52
  • Computer Networks and Communications 925
  • Computer Vision and Pattern Recognition 233
  • Signal Processing 111
  • Electrical and Electronic Engineering 470
  • Artificial Intelligence 196
Replace Xirong Que with:
Xirong Que China
Vania Conan France
He Yan United States
Shen Chang-xiang China
Hui‐Tang Lin Taiwan
Nicolas Larrieu France
Yanyuan Qin United States
Daniel Zucchetto Italy
Mowei Wang China
Lianming Zhang China
Yeon-sup Lim relative to Xirong Que China Xirong Que'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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013247
2 2011226
3 2010111
4 2017108
5 201470
6 201551
7 201451
8 201737
9 200828
10 201127
11 200722
12 201919
13 202215
14 200710
15 20208
16 20177
17
Traffic-aware decentralized AP selection for multi-rate in WLANs
20106
18 20215
19 20243
20 20193

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 Statistical and Nonlinear Physics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (12 papers), Wireless Networks and Protocols (6 papers), Caching and Content Delivery (6 papers), Green IT and Sustainability (5 papers), Image and Video Quality Assessment (5 papers), Mobile Ad Hoc Networks (5 papers), Cooperative Communication and Network Coding (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (925 citations), Computer Vision and Pattern Recognition (233 citations), Signal Processing (111 citations), Electrical and Electronic Engineering (470 citations) and Artificial Intelligence (196 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, Arnaud Legout, Ashwin Rao, Chadi Barakat, Walid Dabbous and Chong-kwon Kim. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, ACM SIGMETRICS Performance Evaluation Review, Electronics, Applied Sciences and World Environmental And Water Resources Congress 2012.

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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