Ju-Yeon Jo

1.6k citations
74 papers · 977 · h-index 18

Impact in

Papers in

    • Network Security and Intrusion Detection 10
    • Network Traffic and Congestion Control 6
    • Energy Efficient Wireless Sensor Networks 6
    • Mobile Ad Hoc Networks 5
    • IoT and Edge/Fog Computing 5
    • Blockchain Technology Applications and Security 6

Ju-Yeon Jo

71 papers receiving 922 citations

Peers

Ju-Yeon Jo
Comparison fields: 5 of 116
  • Computer Networks and Communications 324
  • Cellular and Molecular Neuroscience 180
  • Management of Technology and Innovation 65
  • Industrial and Manufacturing Engineering 88
  • Hardware and Architecture 53
Replace Thomas Schlegel with:
Thomas Schlegel Germany
Ernesto Costa Portugal
Pavel Mašek Czechia
Matthew Johnson United States
Shu Wang China
K.D. Baker United Kingdom
Lidia Fuentes Spain
Richard Dearden United Kingdom
Nenggan Zheng China
Cláudio Fabiano Motta Toledo Brazil
Ju-Yeon Jo relative to Thomas Schlegel Germany Thomas Schlegel's profile →
Citations per field
00.5×8.8×
Thomas Schlegel · 1×
Citations per year

Countries citing papers authored by Ju-Yeon Jo

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Yeon Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Yeon Jo. 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 Ju-Yeon Jo. The network helps show where Ju-Yeon Jo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201189
2 201080
3 201554
4 199743
5 200741
6 201737
7 200936
8 199736
9 200433
10 200829
11 200225
12 202025
13 200224
14 201623
15 201422
16 201721
17 201719
18 202418
19 201417
20 201416

About Ju-Yeon Jo

Ju-Yeon Jo is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Hardware and Architecture, having authored 74 papers that have together received 977 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Network Traffic and Congestion Control (6 papers), Manufacturing Process and Optimization (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), Blockchain Technology Applications and Security (6 papers), Mobile Ad Hoc Networks (5 papers), IoT and Edge/Fog Computing (5 papers) and Neurobiology and Insect Physiology Research (5 papers). The work is most often cited by research in Computer Networks and Communications (324 citations), Cellular and Molecular Neuroscience (180 citations), Management of Technology and Innovation (65 citations), Industrial and Manufacturing Engineering (88 citations) and Hardware and Architecture (53 citations). Ju-Yeon Jo has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yoohwan Kim, Michael J. Galko, Daniel T. Babcock, F.L. Merat, Andy Podgurski, Christine Lesch, Michael H. Shaw, Howard B. Gutstein, Shanping Shi and Wyatt S. Newman. Their work appears in journals such as Cell Reports, Journal of Biological Chemistry, Computer Communications, Journal of Cell Science and Genetics.

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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