Yang Sun Lee

685 citations
79 papers · 446 · h-index 11

Impact in

Papers in

Yang Sun Lee

64 papers receiving 410 citations

Peers

Yang Sun Lee
Comparison fields: 5 of 98
  • Computer Networks and Communications 168
  • Health Information Management 33
  • Leadership and Management 6
  • Ocean Engineering 54
  • Electrical and Electronic Engineering 154
Replace A. Sivasangari with:
A. Sivasangari India
Sayed Chhattan Shah South Korea
Tala Talaei Khoei United States
P. Ajitha India
Mohammad Khalid Imam Rahmani Saudi Arabia
Meshal Alharbi Saudi Arabia
Dante I. Tapia Spain
Alexandre Santos Portugal
Tomás Sánchez López United Kingdom
Eoghan Furey Ireland
Yang Sun Lee relative to A. Sivasangari India A. Sivasangari's profile →
Citations per field
00.5×10×15×19×
A. Sivasangari · 1×
Citations per year

Countries citing papers authored by Yang Sun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Yang Sun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201237
2 202031
3 201230
4 201429
5 201826
6 201523
7 201219
8 201419
9 201018
10 201617
11 201216
12 201310
13 20138
14 20107
15 20107
16 20137
17 20127
18 20227
19 20157
20 20116

About Yang Sun Lee

Yang Sun Lee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Information Systems and General Health Professions, having authored 79 papers that have together received 446 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Indoor and Outdoor Localization Technologies (7 papers), IoT and Edge/Fog Computing (6 papers), Innovation in Digital Healthcare Systems (6 papers), Multimedia Communication and Technology (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), Underwater Vehicles and Communication Systems (5 papers) and Mobile Ad Hoc Networks (4 papers). The work is most often cited by research in Computer Networks and Communications (168 citations), Health Information Management (33 citations), Leadership and Management (6 citations), Ocean Engineering (54 citations) and Electrical and Electronic Engineering (154 citations). Yang Sun Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jaehak Yu, Leonard Barolli, Leonard Barolli, Cheol‐Sig Pyo, Se Jin Park, Naixue Xiong, Yunsik Son, Hansung Lee, Hyo‐Chan Bang and Dae‐Heon Park. Their work appears in journals such as Multimedia Tools and Applications, EURASIP Journal on Wireless Communications and Networking, The Journal of Supercomputing, Mathematical and Computer Modelling and Soft Computing.

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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