Jungwon Lee

3.4k total citations
163 papers, 1.9k citations indexed

About

Jungwon Lee is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Jungwon Lee has authored 163 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Electrical and Electronic Engineering, 56 papers in Computer Networks and Communications and 22 papers in Information Systems. Recurrent topics in Jungwon Lee's work include Advanced Wireless Communication Techniques (60 papers), Wireless Communication Networks Research (31 papers) and Advanced MIMO Systems Optimization (27 papers). Jungwon Lee is often cited by papers focused on Advanced Wireless Communication Techniques (60 papers), Wireless Communication Networks Research (31 papers) and Advanced MIMO Systems Optimization (27 papers). Jungwon Lee collaborates with scholars based in United States, South Korea and Israel. Jungwon Lee's co-authors include Mostafa El‐Khamy, J.M. Cioffi, Hui‐Ling Lou, Dimitris Toumpakaris, Jaeyoung Kim, Inyup Kang, Dongwoon Bai, Xianzhi Du, Larry S. Davis and Wooseok Nam and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Jungwon Lee

140 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jungwon Lee United States 23 1.0k 698 349 281 215 163 1.9k
Driss Aboutajdine Morocco 19 505 0.5× 588 0.8× 797 2.3× 381 1.4× 318 1.5× 293 2.1k
Chong‐Ho Choi South Korea 26 413 0.4× 654 0.9× 646 1.9× 455 1.6× 242 1.1× 122 2.5k
Caili Guo China 23 1.2k 1.2× 594 0.9× 207 0.6× 354 1.3× 107 0.5× 190 1.9k
Yue Wang China 20 1.0k 1.0× 688 1.0× 252 0.7× 106 0.4× 260 1.2× 160 1.7k
Jian Su China 27 768 0.7× 485 0.7× 481 1.4× 192 0.7× 243 1.1× 128 2.1k
William Turin United States 19 952 0.9× 597 0.9× 377 1.1× 299 1.1× 149 0.7× 48 1.7k
Yi Fang China 31 1.9k 1.8× 1.2k 1.7× 475 1.4× 352 1.3× 114 0.5× 206 3.1k
Zhen Yang China 28 1.9k 1.8× 810 1.2× 366 1.0× 523 1.9× 275 1.3× 235 2.8k
Houjun Wang China 19 636 0.6× 306 0.4× 140 0.4× 195 0.7× 105 0.5× 195 1.5k
Jie Gao United States 31 1.2k 1.2× 2.5k 3.6× 287 0.8× 237 0.8× 214 1.0× 128 3.4k

Countries citing papers authored by Jungwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jungwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jungwon Lee

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

All Works

20 of 20 papers shown
1.
Lee, Kyo‐Beum, et al.. (2022). Thermal Estimation of Modular Multilevel Converter Submodule Using Deep Regression on GRU and LSTM Network. IEEE Access. 10. 75343–75353. 7 indexed citations
2.
Lee, Jungwon, et al.. (2021). Programmable Motion-Fault Detection for a Collaborative Robot. IEEE Access. 9. 133123–133142. 9 indexed citations
3.
Lee, Jungwon, et al.. (2021). COREA: Delay- and Energy-Efficient Approximate Adder Using Effective Carry Speculation. Electronics. 10(18). 2234–2234. 7 indexed citations
4.
Kim, Sang-Hun, et al.. (2020). Fault Detection Method Using a Convolution Neural Network for Hybrid Active Neutral-Point Clamped Inverters. IEEE Access. 8. 140632–140642. 48 indexed citations
5.
Lee, Jungwon, et al.. (2020). Estimating Gastrointestinal Transition Location Using CNN-based Gastrointestinal Landmark Classifier. KIPS Transactions on Software and Data Engineering. 9(3). 101–108. 1 indexed citations
6.
Lee, Byungjeong, et al.. (2019). Methods of Extracting and Providing R&D Documentation Guideline for Licensing Medical Device Software. Journal of Internet Computing and services. 20(3). 69–75. 1 indexed citations
7.
Ren, Haoyu, Mostafa El‐Khamy, & Jungwon Lee. (2019). Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding. Computer Vision and Pattern Recognition. 37–45. 5 indexed citations
8.
Lee, Jungwon, et al.. (2018). Applying Genetic Programming with Similar Bug Fix Information to Automatic Fault Repair. Symmetry. 10(4). 92–92. 3 indexed citations
9.
Choi, Ki-Yong & Jungwon Lee. (2018). Fault Localization by Comparing Memory Updates between Unit and Integration Testing of Automotive Software in an Hardware-in-the-Loop Environment. Applied Sciences. 8(11). 2260–2260. 1 indexed citations
10.
Shin, Jonghwan, et al.. (2017). Assessing content-based conformance between software R&D documents and design guidelines using relevance links. Soft Computing. 22(20). 6645–6656. 1 indexed citations
11.
Choi, Ki-Yong, et al.. (2017). Collecting Big Data from Automotive ECUs beyond the CAN Bandwidth for Fault Visualization. Mobile Information Systems. 2017. 1–13. 1 indexed citations
12.
Kim, Jaeyoung, Mostafa El‐Khamy, & Jungwon Lee. (2017). Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition. 1591–1595. 115 indexed citations
13.
Choi, Ki-Yong, et al.. (2016). Fault Localization Method by Partitioning Memory Using Memory Map and the Stack for Automotive ECU Software Testing. Applied Sciences. 6(9). 266–266. 3 indexed citations
14.
Kim, Mihui, et al.. (2015). Teaching-Learning Activity Modeling Based on Data Analysis. Symmetry. 7(1). 206–219. 7 indexed citations
15.
Lee, Jungwon, et al.. (2014). Analysis of Characteristics of Power Consumption for Context-Aware Mobile Applications. Information. 5(4). 612–621. 2 indexed citations
16.
Lee, Jungwon, et al.. (2011). Evaluating Service Description to Guarantee Quality of U-service Ontology. Journal of Information Processing Systems. 7(2). 287–298. 5 indexed citations
17.
Lee, Jungwon, et al.. (2010). SOA-based Service Layering for Facilitating Dynamic Service Composition and Alternative Service Discovery. Journal of information science and engineering. 26(3). 991–1010.
18.
Choi, Byoungju, et al.. (2008). Service Identification of Component-Based System for Service-Oriented Architecture. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(2). 70–80. 3 indexed citations
19.
Song, Jinwoong, et al.. (2004). A Survey of the Distribution of the Facilities Supporting Students' Out-of-School Science Activities and Their Programs in Korea. Journal of The Korean Association For Science Education. 24(1). 157–170. 1 indexed citations
20.
Lee, Jungwon, et al.. (2001). Classification and Analysis of Data Mining Algorithms. 28(3). 279–300.

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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