Mye Sohn

402 citations
48 papers · 267 · h-index 9

Impact in

Papers in

    • Semantic Web and Ontologies 12
    • Advanced Graph Neural Networks 4
    • Advanced Text Analysis Techniques 4
    • Service-Oriented Architecture and Web Services 10
    • Recommender Systems and Techniques 7

Mye Sohn

43 papers receiving 246 citations

Peers

Mye Sohn
Comparison fields: 5 of 66
  • Computer Networks and Communications 92
  • Artificial Intelligence 118
  • Information Systems 77
  • Computer Vision and Pattern Recognition 45
  • Signal Processing 19
Replace Patrícia Dockhorn Costa with:
Patrícia Dockhorn Costa Brazil
Agnese Pinto Italy
Mohamed Mhiri Tunisia
Devdatta Kulkarni United States
Stanisław Deniziak Poland
Anna Kobusińska Poland
Martin Kleppmann United Kingdom
Jacques Pasquier Switzerland
Dave Raggett United States
Mye Sohn relative to Patrícia Dockhorn Costa Brazil Patrícia Dockhorn Costa's profile →
Citations per field
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Patrícia Dockhorn Costa · 1×
Citations per year

Countries citing papers authored by Mye Sohn

Since Specialization
Citations

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

Fields of papers citing papers by Mye Sohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Mye Sohn, 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 Mye Sohn Line = papers co-authored together Mye Sohn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200350
2 202137
3 202027
4 201414
5 200914
6 201811
7
Supervised learning-based Lifetime Extension of Wireless Sensor Network Nodes.
201910
8 20208
9 20138
10 20116
11 20186
12
Semantic Similarity Calculation Method using Information Contents-based Edge Weighting
20175
13 20225
14 20155
15 20175
16 20214
17 20124
18 20034
19 20124
20 20164

About Mye Sohn

Mye Sohn is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 48 papers that have together received 267 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (12 papers), Service-Oriented Architecture and Web Services (10 papers), Recommender Systems and Techniques (7 papers), Advanced Database Systems and Queries (5 papers), Context-Aware Activity Recognition Systems (5 papers), Green IT and Sustainability (4 papers), Advanced Graph Neural Networks (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (92 citations), Artificial Intelligence (118 citations), Information Systems (77 citations), Computer Vision and Pattern Recognition (45 citations) and Signal Processing (19 citations). Mye Sohn has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hyun Jung Lee, Min Hwan Kim, Sang‐Seok Lee, Wookey Lee, Jae Kyu Lee, Sang Do Noh, Soo-min Lim, Woong-Kee Loh, Minwoo Kim and Seog‐Chan Oh. Their work appears in journals such as IEEE Access, Soft Computing, Pervasive and Mobile Computing, Multimedia Tools and Applications and Information Sciences.

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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