Jun‐Ho Huh

4.0k citations
165 papers · 2.5k · h-index 26

Impact in

Papers in

Jun‐Ho Huh

160 papers receiving 2.4k citations

Peers

Jun‐Ho Huh
Comparison fields: 5 of 148
  • Information Systems 644
  • Computer Networks and Communications 503
  • Computer Vision and Pattern Recognition 375
  • Energy Engineering and Power Technology 52
  • Renewable Energy, Sustainability and the Environment 248
Replace Yazeed Yasin Ghadi with:
Yazeed Yasin Ghadi United Arab Emirates
V. Subramaniyaswamy India
Saif ul Islam Pakistan
Vidyasagar Potdar Australia
Katarina Grolinger Canada
Bhekisipho Twala South Africa
Muhammad Shafiq South Korea
Do‐Hyeun Kim South Korea
Logesh Ravi India
Anurag Shrivastava India
Jun‐Ho Huh relative to Yazeed Yasin Ghadi United Arab Emirates Yazeed Yasin Ghadi's profile →
Citations per field
00.5×10×15×17.8×
Yazeed Yasin Ghadi · 1×
Citations per year

Countries citing papers authored by Jun‐Ho Huh

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Ho Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Ho Huh. 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 Jun‐Ho Huh. The network helps show where Jun‐Ho Huh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022128
2 201793
3 201986
4 202184
5 201883
6 202079
7 202179
8 202160
9 201660
10 201957
11 202057
12 201857
13 201756
14 202152
15 201952
16 201850
17 201647
18 201847
19 202046
20 201945

About Jun‐Ho Huh

Jun‐Ho Huh is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 165 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (15 papers), IoT and Edge/Fog Computing (14 papers), Internet of Things and Social Network Interactions (10 papers), Smart Grid Security and Resilience (9 papers), Power Line Communications and Noise (9 papers), IoT-based Smart Home Systems (8 papers), Innovation in Digital Healthcare Systems (8 papers) and Network Security and Intrusion Detection (8 papers). The work is most often cited by research in Information Systems (644 citations), Computer Networks and Communications (503 citations), Computer Vision and Pattern Recognition (375 citations), Energy Engineering and Power Technology (52 citations) and Renewable Energy, Sustainability and the Environment (248 citations). Jun‐Ho Huh has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Kyungryong Seo, Seong-Kyu Kim, Jong-Chan Kim, Yeong‐Seok Seo, Jae-Sub Ko, Hyeyoung Ko, Namje Park, Se-Hoon Jung, Sung-Wook Park and Yonghoon Kim. Their work appears in journals such as Electronics, IEEE Access, Energies, Sustainability and Sensors.

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.

Explore authors with similar magnitude of impact