Minseok Choi

1.2k total citations · 1 hit paper
76 papers, 791 citations indexed

About

Minseok Choi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Minseok Choi has authored 76 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 25 papers in Computer Vision and Pattern Recognition and 22 papers in Computer Networks and Communications. Recurrent topics in Minseok Choi's work include Caching and Content Delivery (15 papers), Image and Video Quality Assessment (9 papers) and Privacy-Preserving Technologies in Data (9 papers). Minseok Choi is often cited by papers focused on Caching and Content Delivery (15 papers), Image and Video Quality Assessment (9 papers) and Privacy-Preserving Technologies in Data (9 papers). Minseok Choi collaborates with scholars based in South Korea, United States and United Kingdom. Minseok Choi's co-authors include Joongheon Kim, Jaekyun Moon, Dong-Jun Han, Joongheon Kim, Kwon Junghyun, F. C. Park, Joohoon Kim, Junsuk Rho, Andreas F. Molisch and Dong Hyun Yoon and has published in prestigious journals such as Advanced Materials, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Minseok Choi

67 papers receiving 753 citations

Hit Papers

Integrated metasurfaces for re-envisioning a near-future ... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minseok Choi South Korea 16 224 214 204 176 149 76 791
Wei Zhuang China 18 302 1.3× 530 2.5× 169 0.8× 67 0.4× 187 1.3× 142 1.3k
Boyang Liu China 15 248 1.1× 359 1.7× 84 0.4× 156 0.9× 214 1.4× 91 934
Sheng Zhang China 14 165 0.7× 119 0.6× 270 1.3× 165 0.9× 55 0.4× 78 679
Yinan Li China 18 394 1.8× 399 1.9× 158 0.8× 91 0.5× 80 0.5× 92 1.3k
Yaoqing Yang United States 21 400 1.8× 590 2.8× 272 1.3× 121 0.7× 427 2.9× 102 1.3k
Hengzhu Liu China 14 125 0.6× 184 0.9× 85 0.4× 588 3.3× 158 1.1× 91 925
Oscar Ibarra‐Manzano Mexico 15 134 0.6× 192 0.9× 203 1.0× 76 0.4× 59 0.4× 124 739
Yaqin Zhou China 17 54 0.2× 125 0.6× 49 0.2× 222 1.3× 99 0.7× 62 800
Fan Wang China 19 392 1.8× 165 0.8× 319 1.6× 78 0.4× 33 0.2× 83 1.2k
Devesh K. Jha United States 14 63 0.3× 318 1.5× 290 1.4× 161 0.9× 92 0.6× 80 929

Countries citing papers authored by Minseok Choi

Since Specialization
Citations

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

Fields of papers citing papers by Minseok Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minseok Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Minseok Choi. A scholar is included among the top collaborators of Minseok Choi 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 Minseok Choi. Minseok Choi 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.
Choi, Minseok, et al.. (2025). Frequency-enhanced network with self-supervised learning for anomaly detection of hydraulic piston pumps. Expert Systems with Applications. 282. 127662–127662.
2.
Choi, Minseok, et al.. (2025). Frequency-enhanced neural networks with a hybrid spall-size estimator for bearing fault diagnosis. Journal of Computational Design and Engineering. 12(5). 1–20. 3 indexed citations
3.
Choi, Minseok, et al.. (2025). Multi-fidelity sub-label-guided transfer network with physically interpretable synthetic datasets for rotor fault diagnosis. Engineering Applications of Artificial Intelligence. 148. 110467–110467. 2 indexed citations
4.
Seo, Dong-Wook, et al.. (2024). Edge caching and computing of video chunks in multi-tier wireless networks. Journal of Network and Computer Applications. 226. 103889–103889. 1 indexed citations
5.
Shah, Syed Tariq, et al.. (2024). Blockchain-Assisted Dynamic Resource Pool Selection for D2D Roaming Scenarios. IEEE Open Journal of the Communications Society. 5. 7542–7551.
6.
Park, Soohyun, Chanyoung Park, Soyi Jung, et al.. (2024). Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse. IEEE Transactions on Mobile Computing. 23(12). 12410–12427. 14 indexed citations
7.
Park, Soohyun, Chanyoung Park, Soyi Jung, Minseok Choi, & Joongheon Kim. (2024). Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles. IEEE Transactions on Vehicular Technology. 73(7). 10681–10696. 3 indexed citations
8.
Choi, Minseok, et al.. (2024). Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. 15820–15839. 1 indexed citations
9.
Kim, Joohoon, Wonjoong Kim, Minseok Choi, et al.. (2024). Amorphous to Crystalline Transition in Nanoimprinted Sol–Gel Titanium Oxide Metasurfaces. Advanced Materials. 36(49). e2405378–e2405378. 19 indexed citations
10.
Choi, Minseok, et al.. (2024). Near-surface defect detection in ultrasonic testing using domain-knowledge-informed self-supervised learning. Ultrasonics. 147. 107528–107528. 5 indexed citations
11.
Choi, Minseok, et al.. (2023). Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach. IEEE Transactions on Intelligent Vehicles. 9(2). 3672–3686. 4 indexed citations
12.
Park, Soohyun, et al.. (2023). Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes. ETRI Journal. 45(5). 735–745. 1 indexed citations
13.
Choi, Minseok, et al.. (2023). Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution. IEEE Transactions on Green Communications and Networking. 8(1). 103–117. 4 indexed citations
14.
Choi, Minseok, et al.. (2022). A video-based SlowFastMTB model for detection of small amounts of smoke from incipient forest fires. Journal of Computational Design and Engineering. 9(2). 793–804. 7 indexed citations
15.
Choi, Minseok. (2021). Device Caching Strategy Maximizing Expected Content Quality. Journal of the Korea Society of Computer and Information. 26(1). 111–118. 2 indexed citations
16.
Choi, Minseok, et al.. (2020). 40‐TFLOPS artificial intelligence processor with function‐safe programmable many‐cores for ISO26262 ASIL‐D. ETRI Journal. 42(4). 468–479. 10 indexed citations
17.
Chung, Jaehoon, et al.. (2020). AB9: A neural processor for inference acceleration. ETRI Journal. 42(4). 491–504. 7 indexed citations
18.
Park, Soohyun, et al.. (2020). Optimal User Selection for High-Performance and Stabilized Energy-Efficient Federated Learning Platforms. Electronics. 9(9). 1359–1359. 11 indexed citations
19.
Choi, Minseok, et al.. (2019). Blind Signal Classification for Non-Orthogonal Multiple Access in Vehicular Networks. IEEE Transactions on Vehicular Technology. 68(10). 9722–9734. 13 indexed citations
20.
Choi, Minseok, Joongheon Kim, & Jaekyun Moon. (2018). Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements. IEEE Journal on Selected Areas in Communications. 36(6). 1245–1257. 59 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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