Jihoon Ryoo

440 citations
34 papers · 315 · h-index 10

Impact in

Papers in

Jihoon Ryoo

29 papers receiving 305 citations

Peers

Jihoon Ryoo
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 114
  • Media Technology 46
  • Computer Networks and Communications 99
  • Human-Computer Interaction 17
  • Signal Processing 32
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Citations per field
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Citations per year

Countries citing papers authored by Jihoon Ryoo

Since Specialization
Citations

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

Fields of papers citing papers by Jihoon Ryoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201546
2 201841
3
Improving User Perceived Page Load Times Using Gaze
201740
4 201836
5 201628
6 202120
7 201215
8 202011
9 201210
10 20209
11 20159
12 20217
13 20157
14 20076
15 20205
16
ULTRATHIN, HYPERELASTIC PDMS NANO MEMBRANE : FABRICATION AND CHARACTERIZATION
20114
17 20103
18 20133
19 20192
20 20232

About Jihoon Ryoo

Jihoon Ryoo is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering and Human-Computer Interaction, having authored 34 papers that have together received 315 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Image and Video Quality Assessment (7 papers), Visual Attention and Saliency Detection (5 papers), Energy Harvesting in Wireless Networks (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Context-Aware Activity Recognition Systems (3 papers) and RFID technology advancements (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Media Technology (46 citations), Computer Networks and Communications (99 citations), Human-Computer Interaction (17 citations) and Signal Processing (32 citations). Jihoon Ryoo has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Samir R. Das, Chang Wook Kim, Milind M. Buddhikot, Milutin Stanaćević, Akshay Athalye, Hwangnam Kim, Aruna Balasubramanian, Yasha Karimi, Petar M. Djurić and Kiwon Yun. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Access, Journal of Network and Computer Applications, IEEE Internet of Things Journal and Advanced Sustainable Systems.

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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