Junho Shim

1.1k citations
45 papers · 600 indexed · h-index 12

Impact in

    • Caching and Content Delivery
    • Advanced Data Storage Technologies
    • Peer-to-Peer Network Technologies
    • Advanced Database Systems and Queries
    • Web Data Mining and Analysis
    • Cloud Computing and Resource Management

Papers in

Junho Shim

39 papers receiving 558 citations

Peers

Junho Shim
Comparison fields: 5 of 66
  • Computer Networks and Communications 378
  • Information Systems 225
  • Signal Processing 92
  • Artificial Intelligence 156
  • Computer Vision and Pattern Recognition 62
Replace Robson de Oliveira Albuquerque with:
Robson de Oliveira Albuquerque Brazil
Veenu Mangat India
Brajendra Panda United States
Do van Thanh Norway
Jay Kreps United States
Mosleh M. Abualhaj Jordan
Jerry den Hartog Netherlands
Stephanos Androutsellis-Theotokis Greece
Su-Cheng Haw Malaysia
A. Ghafoor United States
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Citations per field
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Robson de Oliveira Albuquerque · 1×
Citations per year

Countries citing papers authored by Junho Shim

Since Specialization
Citations

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

Fields of papers citing papers by Junho Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Junho Shim, 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 Junho Shim Line = papers co-authored together Junho Shim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999143
2
WATCHMAN: A Data Warehouse Intelligent Cache Manager
199681
3 199771
4 200641
5 200535
6 200330
7 201621
8 201819
9 202216
10 201115
11 200215
12 202111
13 200510
14 19988
15 20218
16 20237
17
Blockchain Technology for Mobile Applications Recommendation Systems
20206
18 20115
19 20055
20 20135

About Junho Shim

Junho Shim is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 600 indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (11 papers), Semantic Web and Ontologies (10 papers), Web Data Mining and Analysis (9 papers), Advanced Data Storage Technologies (5 papers), Caching and Content Delivery (4 papers), Text and Document Classification Technologies (4 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Computer Networks and Communications (378 citations), Information Systems (225 citations), Signal Processing (92 citations), Artificial Intelligence (156 citations) and Computer Vision and Pattern Recognition (62 citations). Junho Shim has collaborated with scholars based in South Korea, United States and Austria. Frequent co-authors include Peter Scheuermann, Radek Vingralek, Sang‐goo Lee, Jonghoon Chun, Taehee Lee, Sang-goo Lee, Dong‐Kyu Kim, K. Selçuk Candan, Young-Hoon Park and Hong Joo Lee. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Electronic Commerce Research and Applications, Electronics and Journal of Visual Languages & 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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