Jong‐Moon Chung

2.4k total citations
172 papers, 1.6k citations indexed

About

Jong‐Moon Chung is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jong‐Moon Chung has authored 172 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Computer Networks and Communications, 100 papers in Electrical and Electronic Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Jong‐Moon Chung's work include Advanced MIMO Systems Optimization (28 papers), Network Traffic and Congestion Control (25 papers) and Cooperative Communication and Network Coding (25 papers). Jong‐Moon Chung is often cited by papers focused on Advanced MIMO Systems Optimization (28 papers), Network Traffic and Congestion Control (25 papers) and Cooperative Communication and Network Coding (25 papers). Jong‐Moon Chung collaborates with scholars based in South Korea, United States and France. Jong‐Moon Chung's co-authors include Sooeun Song, Zhi Quan, Sang‐Chul Kim, Joon‐Hyung Kim, Min‐Seok Kim, Dae‐Young Lee, William J. Song, Minsu Choi, Yong-Suk Park and Mark Weiser and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Jong‐Moon Chung

153 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong‐Moon Chung South Korea 21 1.1k 930 241 134 125 172 1.6k
Yunjian Jia China 22 1.1k 1.0× 905 1.0× 145 0.6× 161 1.2× 153 1.2× 137 1.6k
Shi Yan China 19 1.2k 1.1× 933 1.0× 175 0.7× 227 1.7× 182 1.5× 82 1.7k
Rashid Ali South Korea 25 1.0k 1.0× 697 0.7× 195 0.8× 111 0.8× 158 1.3× 74 1.5k
Anwer Al‐Dulaimi United Kingdom 16 634 0.6× 792 0.9× 125 0.5× 173 1.3× 165 1.3× 79 1.2k
Qingyang Song China 25 1.5k 1.4× 1.4k 1.5× 126 0.5× 259 1.9× 99 0.8× 112 2.0k
Απόστολος Κουσαρίδας Germany 16 730 0.7× 1.0k 1.1× 143 0.6× 130 1.0× 105 0.8× 57 1.5k
Marco Gramaglia Spain 25 1.4k 1.3× 947 1.0× 118 0.5× 55 0.4× 232 1.9× 93 1.9k
Latif Ladid Luxembourg 7 746 0.7× 745 0.8× 178 0.7× 85 0.6× 132 1.1× 18 1.3k
Haeyoung Lee United Kingdom 11 649 0.6× 1.1k 1.2× 83 0.3× 188 1.4× 155 1.2× 35 1.4k
Raed Alsaqour Saudi Arabia 19 902 0.8× 688 0.7× 129 0.5× 117 0.9× 212 1.7× 86 1.4k

Countries citing papers authored by Jong‐Moon Chung

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Moon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Moon Chung. 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 Jong‐Moon Chung. The network helps show where Jong‐Moon Chung may publish in the future.

Co-authorship network of co-authors of Jong‐Moon Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Jong‐Moon Chung. A scholar is included among the top collaborators of Jong‐Moon Chung 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 Jong‐Moon Chung. Jong‐Moon Chung 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.
Chung, Jong‐Moon, et al.. (2023). Optimized Resource Utilization Scheme for Real-Time V2V Sidelink Unicast Communication in 5G Networks. IEEE Wireless Communications Letters. 12(10). 1721–1725. 2 indexed citations
2.
Kim, Haeri, et al.. (2023). In-Vehicle Network Average Response Time Analysis for CAN-FD and Automotive Ethernet. IEEE Transactions on Vehicular Technology. 72(6). 6916–6932. 13 indexed citations
3.
4.
Chung, Jong‐Moon, et al.. (2022). Secure Trust-Based Delegated Consensus for Blockchain Frameworks Using Deep Reinforcement Learning. IEEE Access. 10. 118498–118511. 22 indexed citations
5.
Chung, Jong‐Moon, et al.. (2022). Physical Identification Based Trust Path Routing Against Sybil Attacks on RPL in IoT Networks. IEEE Wireless Communications Letters. 11(5). 1102–1106. 13 indexed citations
6.
Chung, Jong‐Moon, et al.. (2022). 5G Multi-RAT URLLC and eMBB Dynamic Task Offloading With MEC Resource Allocation Using Distributed Deep Reinforcement Learning. IEEE Internet of Things Journal. 9(20). 20733–20749. 41 indexed citations
7.
Kim, Haeri, et al.. (2021). C-V2X Adaptive Short-Term Sensing Scheme for Enhanced DENM and CAM Communication. IEEE Wireless Communications Letters. 11(3). 593–597. 5 indexed citations
8.
Chung, Jong‐Moon, et al.. (2021). H-V2X Mode 4 Adaptive Semipersistent Scheduling Control for Cooperative Internet of Vehicles. IEEE Internet of Things Journal. 8(13). 10678–10692. 31 indexed citations
9.
Chung, Jong‐Moon, et al.. (2021). Energy Minimized Computation Offloading With Popularity-Based Cooperation in 5G mMTC Networks. IEEE Internet of Things Journal. 9(5). 3238–3250. 7 indexed citations
10.
Chung, Jong‐Moon, et al.. (2020). DQN-Based Optimization Framework for Secure Sharded Blockchain Systems. IEEE Internet of Things Journal. 8(2). 708–722. 79 indexed citations
11.
Chung, Jong‐Moon, et al.. (2020). URLLC Mode Optimal Resource Allocation to Support HARQ in 5G Wireless Networks. IEEE Access. 8. 126797–126804. 18 indexed citations
12.
Chung, Jong‐Moon, et al.. (2019). Trust-Based Shard Distribution Scheme for Fault-Tolerant Shard Blockchain Networks. IEEE Access. 7. 135164–135175. 34 indexed citations
13.
Chung, Jong‐Moon, et al.. (2019). MMOG User Participation Based Decentralized Consensus Scheme and Proof of Participation Analysis on the Bryllite Blockchain System. KSII Transactions on Internet and Information Systems. 13(8). 8 indexed citations
14.
Chung, Jong‐Moon, et al.. (2018). Centralized Trust-Based Secure Routing in Wireless Networks. IEEE Wireless Communications Letters. 7(6). 1066–1069. 14 indexed citations
15.
Chung, Jong‐Moon, et al.. (2017). Analysis of RF Energy Transfer based Self-sustainable BLE Devices for Wireless Energy Harvesting. 대한전자공학회 학술대회. 605–606. 1 indexed citations
16.
Kim, Jin-Won, et al.. (2017). Reconfiguration time and complexity minimized trust-based clustering scheme for MANETs. EURASIP Journal on Wireless Communications and Networking. 2017(1). 5 indexed citations
17.
Chung, Jong‐Moon, et al.. (2017). Deployment of Network Resources for Enhancement of Disaster Response Capabilities with Deep Learning and Augmented Reality. Journal of Internet Computing and services. 18(5). 69–77. 1 indexed citations
18.
Chung, Jong‐Moon, et al.. (2017). HE-MAC: Harvest-Then-Transmit Based Modified EDCF MAC Protocol for Wireless Powered Sensor Networks. IEEE Transactions on Wireless Communications. 17(1). 3–16. 41 indexed citations
19.
Chung, Jong‐Moon, et al.. (2007). Media independent handover in broadband mobile networks. 121–126. 1 indexed citations
20.
Chung, Jong‐Moon, et al.. (1994). The Adaptive Equalizer with Tentative Decision of the Viterbi Decoder. 225–229.

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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