Chang-Jae Chun

815 total citations
25 papers, 565 citations indexed

About

Chang-Jae Chun is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Chang-Jae Chun has authored 25 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 5 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Chang-Jae Chun's work include Advanced MIMO Systems Optimization (13 papers), Energy Harvesting in Wireless Networks (8 papers) and Cooperative Communication and Network Coding (4 papers). Chang-Jae Chun is often cited by papers focused on Advanced MIMO Systems Optimization (13 papers), Energy Harvesting in Wireless Networks (8 papers) and Cooperative Communication and Network Coding (4 papers). Chang-Jae Chun collaborates with scholars based in South Korea, Canada and Pakistan. Chang-Jae Chun's co-authors include Jae‐Mo Kang, Il‐Min Kim, Dong In Kim, Hyung-Myung Kim, Joonhyuk Kang, Cheol Jeong, Taeyong Sim, Sujin Lee, Yun-Jae Kim and Dong‐Jin Jang and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Chang-Jae Chun

22 papers receiving 546 citations

Peers

Chang-Jae Chun

EEE

CNC

Tiến Hoa Nguyễn Vietnam

Hanxiao Yu China

Rubayet Shafin United States

Talha Mir China

Kathiravetpillai Sivanesan Canada

Shunpu Tang China

Qiao Qi China

Arupjyoti Bhuyan United States

Luping Xiang United Kingdom

Mina Labib United States

Tiến Hoa Nguyễn Vietnam

Chang-Jae Chun

463 ×0.9

EEE

88 ×0.5

107 ×0.9

198 ×1.9

CNC

14 ×0.6

Citations per year, relative to Chang-Jae Chun Chang-Jae Chun (= 1×) peers Tiến Hoa Nguyễn

Countries citing papers authored by Chang-Jae Chun

Since Specialization

Citations

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

Fields of papers citing papers by Chang-Jae Chun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-Jae Chun. 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 Chang-Jae Chun. The network helps show where Chang-Jae Chun may publish in the future.

Co-authorship network of co-authors of Chang-Jae Chun

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

All Works

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20 of 20 papers shown

Sim, Taeyong, et al.. (2025). A machine learning ensemble framework based on a clustering algorithm for improving electric power consumption performance. Scientific Reports. 15(1). 40172–40172.

Yasmin, Mussarat, et al.. (2024). A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification. Multimedia Tools and Applications. 83(39). 86923–86954. 1 indexed citations

Moon, Hyeonjoon, et al.. (2024). Enhanced Data Processing and Machine Learning Techniques for Energy Consumption Forecasting. Electronics. 13(19). 3885–3885.

Chun, Chang-Jae, et al.. (2024). LiteFDNet: A Lightweight Network for Current Sensor-Based Bearing Fault Diagnosis. IEEE Access. 12. 100493–100505. 2 indexed citations

Chun, Chang-Jae, et al.. (2023). Causality-Driven Efficient Feature Selection for Deep-Learning-Based Surface Roughness Prediction in Milling Machines. Mathematics. 11(22). 4682–4682. 4 indexed citations

Chun, Chang-Jae & Cheol Jeong. (2023). Data-Driven Resource Allocation for Deep Learning in IoT Networks. IEEE Internet of Things Journal. 11(2). 2082–2096. 7 indexed citations

Jeong, Cheol, Chang-Jae Chun, Won-Yong Shin, & Il‐Min Kim. (2022). Transport Capacity Optimization for Resource Allocation in Tera-IoT Networks. IEEE Internet of Things Journal. 9(16). 15270–15284. 2 indexed citations

Chun, Chang-Jae, et al.. (2022). Transmit Power Adaptation for D2D Communications Underlaying SWIPT-Based IoT Cellular Networks. IEEE Internet of Things Journal. 10(2). 987–1000. 12 indexed citations

Kang, Jae‐Mo, Chang-Jae Chun, Il‐Min Kim, & Dong In Kim. (2020). Dynamic Power Splitting for SWIPT With Nonlinear Energy Harvesting in Ergodic Fading Channel. IEEE Internet of Things Journal. 7(6). 5648–5665. 14 indexed citations

10.

Kang, Jae‐Mo & Chang-Jae Chun. (2020). Joint Trajectory Design, Tx Power Allocation, and Rx Power Splitting for UAV-Enabled Multicasting SWIPT Systems. IEEE Systems Journal. 14(3). 3740–3743. 41 indexed citations

11.

Kang, Jae‐Mo, Chang-Jae Chun, & Il‐Min Kim. (2020). Deep Learning Based Channel Estimation for MIMO Systems With Received SNR Feedback. IEEE Access. 8. 121162–121181. 47 indexed citations

12.

Kang, Jae‐Mo, Chang-Jae Chun, Il‐Min Kim, & Dong In Kim. (2020). Deep RNN-Based Channel Tracking for Wireless Energy Transfer System. IEEE Systems Journal. 14(3). 4340–4343. 18 indexed citations

13.

Chun, Chang-Jae & Jae‐Mo Kang. (2020). Optimal Training Design for MIMO Amplify-and-Forward Two-Way Relay Systems in the Presence of Interference. IEEE Transactions on Vehicular Technology. 69(5). 5151–5163. 5 indexed citations

14.

Kang, Jae‐Mo, Il‐Min Kim, & Chang-Jae Chun. (2019). Deep Learning-Based MIMO-NOMA With Imperfect SIC Decoding. IEEE Systems Journal. 14(3). 3414–3417. 87 indexed citations

15.

Chun, Chang-Jae, Jae‐Mo Kang, & Il‐Min Kim. (2018). Adaptive Rate and Energy Harvesting Interval Control Based on Reinforcement Learning for SWIPT. IEEE Communications Letters. 22(12). 2571–2574. 20 indexed citations

16.

Kang, Joonhyuk, et al.. (2018). Joint Transmit Power and Time-Switching Control for Device-to-Device Communications in SWIPT Cellular Networks. IEEE Communications Letters. 23(2). 322–325. 19 indexed citations

17.

Chun, Chang-Jae, et al.. (2017). An Improved Method for Reflectivity Estimation in Frequency-Sharing Weather Radar System. 5(2). 60–64. 1 indexed citations

18.

Chun, Chang-Jae, et al.. (2017). Channel Training for MIMO Relay Systems in the Presence of Interference. IEEE Transactions on Vehicular Technology. 66(11). 10601–10605. 1 indexed citations

19.

Chun, Chang-Jae, Jae‐Hwan Lee, & Hyung-Myung Kim. (2016). Discriminatory channel estimation in MIMO decode-and-forward relay systems with cooperative jamming. 266–271. 4 indexed citations

20.

Chun, Chang-Jae, et al.. (2013). Power allocation for time division broadcast protocol over Rayleigh fading channels. 133–137. 1 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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