Wonwoo Jung

472 total citations
12 papers, 360 citations indexed

About

Wonwoo Jung is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wonwoo Jung has authored 12 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wonwoo Jung's work include Green IT and Sustainability (8 papers), Caching and Content Delivery (6 papers) and Energy Harvesting in Wireless Networks (3 papers). Wonwoo Jung is often cited by papers focused on Green IT and Sustainability (8 papers), Caching and Content Delivery (6 papers) and Energy Harvesting in Wireless Networks (3 papers). Wonwoo Jung collaborates with scholars based in South Korea. Wonwoo Jung's co-authors include Hojung Cha, Chanmin Yoon, Dong-Won Kim, Yohan Chon, Dong‐Won Kim, Yungeun Kim, Sooyong Park, Hyoseung Kim, Jaewon Seo and Yungoo Song and has published in prestigious journals such as ACM Transactions on Embedded Computing Systems, International Journal of Control and Automation and Economic and Environmental Geology.

In The Last Decade

Wonwoo Jung

11 papers receiving 342 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wonwoo Jung South Korea 7 315 241 56 49 41 12 360
Abhijeet Banerjee Singapore 8 255 0.8× 164 0.7× 20 0.4× 54 1.1× 70 1.7× 10 306
Cagri Sahin United States 8 297 0.9× 186 0.8× 13 0.2× 28 0.6× 111 2.7× 14 345
Irene Manotas United States 4 195 0.6× 110 0.5× 19 0.3× 15 0.3× 94 2.3× 10 263
Daniel T. Wagner United Kingdom 6 202 0.6× 182 0.8× 40 0.7× 8 0.2× 42 1.0× 10 311
Joshua Charles Campbell Canada 6 140 0.4× 135 0.6× 16 0.3× 16 0.3× 152 3.7× 14 293
Porlin Kang United States 7 99 0.3× 216 0.9× 61 1.1× 20 0.4× 18 0.4× 11 279
Mohammed Sayagh Canada 9 87 0.3× 204 0.8× 11 0.2× 9 0.2× 189 4.6× 23 335
Remous-Aris Koutsiamanis France 8 72 0.2× 138 0.6× 37 0.7× 6 0.1× 40 1.0× 16 248
Jingweijia Tan China 11 222 0.7× 160 0.7× 47 0.8× 4 0.1× 28 0.7× 41 331
Edson dos Santos Moreira Brazil 10 109 0.3× 153 0.6× 47 0.8× 13 0.3× 52 1.3× 42 249

Countries citing papers authored by Wonwoo Jung

Since Specialization
Citations

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

Fields of papers citing papers by Wonwoo Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wonwoo Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Wonwoo Jung. A scholar is included among the top collaborators of Wonwoo Jung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wonwoo Jung. Wonwoo Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Jung, Wonwoo, et al.. (2022). Evaluating the Effectiveness of an Artificial Intelligence Model for Classification of Basic Volcanic Rocks Based on Polarized Microscope Image. Economic and Environmental Geology. 55(3). 309–316. 1 indexed citations
2.
Kim, Kitae, et al.. (2020). Case Study of Real-time Data Sharing Framework Based on Data Distribution Service Middleware. KIISE Transactions on Computing Practices. 26(4). 202–210.
3.
Jung, Wonwoo & Sooyong Park. (2017). Preventing DDoS Attack in Blockchain System Using Dynamic Transaction Limit Volume. International Journal of Control and Automation. 10(12). 131–138. 3 indexed citations
4.
Kim, Dong-Won, Yohan Chon, Wonwoo Jung, Yungeun Kim, & Hojung Cha. (2016). Accurate Prediction of Available Battery Time for Mobile Applications. ACM Transactions on Embedded Computing Systems. 15(3). 1–17. 8 indexed citations
5.
Jung, Wonwoo, et al.. (2015). EnTrack. 191–202. 10 indexed citations
6.
Jung, Wonwoo, Yohan Chon, Dong-Won Kim, & Hojung Cha. (2014). Powerlet. 45–56. 7 indexed citations
7.
Kim, Dong-Won, Wonwoo Jung, & Hojung Cha. (2013). Runtime power estimation of mobile AMOLED displays. Design, Automation, and Test in Europe. 61–64. 15 indexed citations
8.
Jung, Wonwoo, et al.. (2013). UserScope: A Fine-Grained Framework for Collecting Energy-Related Smartphone User Contexts. 38. 158–165. 5 indexed citations
9.
Kim, Dong‐Won, Wonwoo Jung, & Hojung Cha. (2013). Runtime Power Estimation of Mobile AMOLED Displays. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 61–64. 17 indexed citations
10.
Yoon, Chanmin, et al.. (2012). AppScope: application energy metering framework for android smartphones using kernel activity monitoring. USENIX Annual Technical Conference. 36–36. 201 indexed citations
11.
Jung, Wonwoo, et al.. (2012). DevScope. 353–362. 89 indexed citations
12.
Kim, Hyoseung, et al.. (2010). A Decentralized Approach for Monitoring Timing Constraints of Event Flows. 327–336. 4 indexed citations

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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