Yeon‐Jea Cho

420 total citations
13 papers, 319 citations indexed

About

Yeon‐Jea Cho is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Yeon‐Jea Cho has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 4 papers in Media Technology. Recurrent topics in Yeon‐Jea Cho's work include Advanced MIMO Systems Optimization (6 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Yeon‐Jea Cho is often cited by papers focused on Advanced MIMO Systems Optimization (6 papers), Millimeter-Wave Propagation and Modeling (6 papers) and Distributed Sensor Networks and Detection Algorithms (5 papers). Yeon‐Jea Cho collaborates with scholars based in South Korea, Germany and Finland. Yeon‐Jea Cho's co-authors include Sooyoung Hur, Jeong-Ho Park, Andreas F. Molisch, Michael Peter, Katsuyuki Haneda, Dong-Jo Park, Dong‐Ho Cho, Taehwan Kim, Tae-Hwan Kim and Young‐Seok Kim and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and IEEE Communications Letters.

In The Last Decade

Yeon‐Jea Cho

13 papers receiving 314 citations

Peers

Yeon‐Jea Cho

EEE

AE

MT

CNC

SP

Juha Meinilä Finland

Andrzej Partyka United States

Zhiqiang Yuan China

A. Lindsay-Stewart United States

Harsh Tataria United Kingdom

Shinobu Nanba Japan

Richard J. Weiler Germany

G. Riva Italy

Harsh Tataria Sweden

Tharaj Thaj Australia

Juha Meinilä Finland

Yeon‐Jea Cho

217 ×0.7

EEE

63 ×0.9

AE

29 ×0.6

MT

37 ×1.0

CNC

11 ×1.1

SP

Citations per year, relative to Yeon‐Jea Cho Yeon‐Jea Cho (= 1×) peers Juha Meinilä

Countries citing papers authored by Yeon‐Jea Cho

Since Specialization

Citations

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

Fields of papers citing papers by Yeon‐Jea Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeon‐Jea Cho. 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 Yeon‐Jea Cho. The network helps show where Yeon‐Jea Cho may publish in the future.

Co-authorship network of co-authors of Yeon‐Jea Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Yeon‐Jea Cho. A scholar is included among the top collaborators of Yeon‐Jea Cho 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 Yeon‐Jea Cho. Yeon‐Jea Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Cho, Yeon‐Jea, et al.. (2019). AI-Enabled Wireless KPI Monitoring and DiagnosisSystem for 5G Cellular Networks. 899–901. 11 indexed citations

2.

Hwang, In‐June, et al.. (2018). Array Antenna with Suppressed Side Lobe Level for Millimeter-Wave Applications. 2 indexed citations

3.

Cho, Yeon‐Jea, Sooyoung Hur, Taehwan Kim, et al.. (2017). Millimeter-Wave Channel Measurements and Analysis for Statistical Spatial Channel Model in In-Building and Urban Environments at 28 GHz. IEEE Transactions on Wireless Communications. 16(9). 5853–5868. 114 indexed citations

4.

Lee, Kyoungtae, et al.. (2016). Feasibility study and spatial–temporal characteristics analysis for 28 GHz outdoor wireless channel modelling. IET Communications. 10(17). 2352–2362. 17 indexed citations

5.

Hur, Sooyoung, Sunguk Lee, Young‐Seok Kim, et al.. (2016). 28 GHz channel measurements and modeling in a ski resort town in pyeongchang for 5G cellular network systems. 1–5. 13 indexed citations

6.

Cho, Yeon‐Jea & Dong-Jo Park. (2016). Sequential Detector Design for Spectrum Sensing Considering Instantaneously Nonidentically Distributed Samples. IEEE Transactions on Vehicular Technology. 66(3). 2158–2169. 2 indexed citations

7.

Hur, Sooyoung, Yeon‐Jea Cho, Tae-Hwan Kim, et al.. (2015). Wideband spatial channel model in an urban cellular environments at 28 GHz. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–5. 44 indexed citations

8.

Cho, Yeon‐Jea, et al.. (2015). Scheduling diversity outperforms spatial diversity for cooperative multiband spectrum scanning. 23. 517–518. 1 indexed citations

9.

Cho, Yeon‐Jea, et al.. (2014). Adaptive motion vector resolution based on the rate-distortion cost and coding unit depth. 17. 1000–1003. 4 indexed citations

10.

Cho, Yeon‐Jea & Dong-Jo Park. (2014). Closed Form Expressions for Detection Threshold and Sample Size for Spectrum Sensing Considering Instantaneously Non-Identically Distributed Samples. IEEE Communications Letters. 18(2). 233–236. 3 indexed citations

11.

Hur, Sooyoung, et al.. (2014). Synchronous channel sounder using horn antenna and indoor measurements on 28 GHz. 83–87. 102 indexed citations

12.

Cho, Yeon‐Jea, et al.. (2012). Efficient Detection Using Sequential Probability Ratio Test In Mobile Cognitive Radio Systems. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations

13.

Cho, Yeon‐Jea, et al.. (2012). Smart sensing strategy for SPRT considering fast changing sample statistics in cognitive radio systems. 1–8. 3 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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