MyungJae Shin

759 total citations · 1 hit paper
16 papers, 497 citations indexed

About

MyungJae Shin is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, MyungJae Shin has authored 16 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in MyungJae Shin's work include Reinforcement Learning in Robotics (3 papers), Anesthesia and Sedative Agents (3 papers) and Caching and Content Delivery (2 papers). MyungJae Shin is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Anesthesia and Sedative Agents (3 papers) and Caching and Content Delivery (2 papers). MyungJae Shin collaborates with scholars based in South Korea, United States and Japan. MyungJae Shin's co-authors include Joongheon Kim, Joongheon Kim, Dae‐Hyun Choi, Won Joon Yun, Soyi Jung, Jae‐Hyun Kim, Aziz Mohaisen, Soohyun Park, Minseok Choi and Hyunjae Lee and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

MyungJae Shin

16 papers receiving 490 citations

Hit Papers

Cooperative Multiagent Deep Reinforcement Learning for Re... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
    2022 133 citations Won Joon Yun, Soohyun Park et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
MyungJae Shin South Korea 10 213 140 140 140 86 16 497
Aidin Ferdowsi United States 10 265 1.2× 225 1.6× 46 0.3× 187 1.3× 92 1.1× 13 538
Tomader Mazri Morocco 10 170 0.8× 129 0.9× 35 0.3× 67 0.5× 34 0.4× 104 383
Kalinka Regina Lucas Jaquie Castelo Branco Brazil 12 101 0.5× 142 1.0× 45 0.3× 179 1.3× 91 1.1× 63 389
Qiaoni Han China 10 138 0.6× 166 1.2× 137 1.0× 29 0.2× 61 0.7× 26 410
Hamideh Fatemidokht Iran 6 202 0.9× 223 1.6× 36 0.3× 88 0.6× 46 0.5× 7 366
Rahul Razdan United States 10 172 0.8× 271 1.9× 126 0.9× 41 0.3× 61 0.7× 34 672
Tri Nguyen Dang South Korea 12 138 0.6× 285 2.0× 48 0.3× 73 0.5× 76 0.9× 18 421
Jinmei Shu China 4 120 0.6× 190 1.4× 68 0.5× 35 0.3× 73 0.8× 5 370
Sami Abduljabbar Rashid Iraq 14 440 2.1× 392 2.8× 74 0.5× 69 0.5× 39 0.5× 44 607
Konglin Zhu China 16 298 1.4× 444 3.2× 111 0.8× 24 0.2× 49 0.6× 69 720

Countries citing papers authored by MyungJae Shin

Since Specialization
Citations

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

Fields of papers citing papers by MyungJae Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MyungJae Shin

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

All Works

16 of 16 papers shown
1.
Yun, Won Joon, MyungJae Shin, Soyi Jung, et al.. (2023). Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. Computers in Biology and Medicine. 156. 106739–106739. 10 indexed citations
2.
Yun, Won Joon, Soohyun Park, Joongheon Kim, et al.. (2022). Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. IEEE Transactions on Industrial Informatics. 18(10). 7086–7096. 133 indexed citations breakdown →
3.
Yun, Won Joon, MyungJae Shin, Aziz Mohaisen, Kangwook Lee, & Joongheon Kim. (2022). Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2510–2521. 11 indexed citations
4.
Yun, Won Joon, et al.. (2022). Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles. Journal of Communications and Networks. 24(6). 710–721. 5 indexed citations
5.
Jung, Soyi, Won Joon Yun, MyungJae Shin, Joongheon Kim, & Jae‐Hyun Kim. (2021). Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems. IEEE Transactions on Vehicular Technology. 70(6). 5362–5377. 73 indexed citations
6.
Kim, Joongheon, MyungJae Shin, Dohyun Kim, et al.. (2021). Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. 56–58. 5 indexed citations
7.
8.
Choi, Minseok, MyungJae Shin, & Joongheon Kim. (2021). Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled Internet-of-vehicle networks. Journal of Communications and Networks. 23(2). 117–128. 15 indexed citations
9.
Shin, MyungJae, Aziz Mohaisen, & Joongheon Kim. (2021). Bitcoin Price Forecasting via Ensemble-based LSTM Deep Learning Networks. 603–608. 22 indexed citations
10.
Shin, MyungJae & Joongheon Kim. (2019). Randomized Adversarial Imitation Learning for Autonomous Driving. 4590–4596. 21 indexed citations
11.
Park, Soohyun, et al.. (2019). Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach. 1–4. 7 indexed citations
12.
Shin, MyungJae, Dae‐Hyun Choi, & Joongheon Kim. (2019). Cooperative Management for PV/ESS-Enabled Electric Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach. IEEE Transactions on Industrial Informatics. 16(5). 3493–3503. 148 indexed citations
13.
Shin, MyungJae & Joongheon Kim. (2019). Adversarial Imitation Learning via Random Search. arXiv (Cornell University). 26. 1–8. 9 indexed citations
14.
15.
Shin, MyungJae, et al.. (2018). Neural Network Syntax Analyzer for Embedded Standardized Deep Learning. Journal of International Crisis and Risk Communication Research. 35. 37–41. 2 indexed citations
16.

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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