Ohyun Jo

1.7k total citations · 1 hit paper
57 papers, 1.1k citations indexed

About

Ohyun Jo is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Ocean Engineering. According to data from OpenAlex, Ohyun Jo has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 26 papers in Computer Networks and Communications and 7 papers in Ocean Engineering. Recurrent topics in Ohyun Jo's work include Advanced MIMO Systems Optimization (17 papers), Energy Harvesting in Wireless Networks (8 papers) and Cooperative Communication and Network Coding (8 papers). Ohyun Jo is often cited by papers focused on Advanced MIMO Systems Optimization (17 papers), Energy Harvesting in Wireless Networks (8 papers) and Cooperative Communication and Network Coding (8 papers). Ohyun Jo collaborates with scholars based in South Korea, China and United States. Ohyun Jo's co-authors include Celestine Iwendi, Ali Kashif Bashir, Dong‐Ho Cho, Sofia Pillai, P Swetha, Jyotir Moy Chatterjee, Thippa Reddy Gadekallu, R. Sujatha, Woongsup Lee and Yong-Kyu Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Ohyun Jo

51 papers receiving 1.1k citations

Hit Papers

COVID-19 Patient Health Prediction Using Boosted Random F... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ohyun Jo South Korea 14 417 341 306 162 133 57 1.1k
Hosam Alhakami Saudi Arabia 21 214 0.5× 428 1.3× 473 1.5× 131 0.8× 150 1.1× 67 1.5k
Wajdi Alhakami Saudi Arabia 19 212 0.5× 416 1.2× 400 1.3× 100 0.6× 64 0.5× 53 1.2k
M. Rubaiyat Hossain Mondal Bangladesh 18 206 0.5× 109 0.3× 518 1.7× 304 1.9× 76 0.6× 75 1.2k
Sharaf J. Malebary Saudi Arabia 18 202 0.5× 208 0.6× 413 1.3× 116 0.7× 24 0.2× 53 1.2k
Muhammad Arif China 16 334 0.8× 394 1.2× 281 0.9× 129 0.8× 24 0.2× 41 1000
Anupam Kumar Bairagi Bangladesh 25 594 1.4× 600 1.8× 539 1.8× 427 2.6× 54 0.4× 70 2.0k
Kalpna Guleria India 20 243 0.6× 492 1.4× 426 1.4× 318 2.0× 17 0.1× 156 1.9k
Fahad Algarni Saudi Arabia 13 105 0.3× 309 0.9× 183 0.6× 62 0.4× 63 0.5× 53 765
Hani Alquhayz Saudi Arabia 17 141 0.3× 196 0.6× 318 1.0× 163 1.0× 18 0.1× 55 915
Rohit Salgotra India 25 543 1.3× 296 0.9× 902 2.9× 104 0.6× 283 2.1× 77 1.8k

Countries citing papers authored by Ohyun Jo

Since Specialization
Citations

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

Fields of papers citing papers by Ohyun Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ohyun Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Ohyun Jo. A scholar is included among the top collaborators of Ohyun Jo 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 Ohyun Jo. Ohyun Jo 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
2.
Jo, Ohyun, et al.. (2024). Age of information minimization in UAV-assisted data harvesting networks by multi-agent deep reinforcement curriculum learning. Expert Systems with Applications. 255. 124379–124379. 4 indexed citations
3.
Jo, Ohyun, et al.. (2024). Q-Learning-Based Medium Access Technology for Minimizing AoI in LoRa Wireless Relay Networks. IEEE Access. 12. 183024–183037.
4.
Jo, Ohyun, et al.. (2024). MuShAug: Boosting Sequence Signal Classification via Multishape Augmentation. IEEE Internet of Things Journal. 11(20). 32585–32597. 1 indexed citations
5.
Kim, Jong-Seok & Ohyun Jo. (2024). IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23542–23543. 2 indexed citations
6.
Kwon, Hyun, et al.. (2024). Silent-Hidden-Voice Attack on Speech Recognition System. IEEE Access. 12. 173010–173019. 2 indexed citations
7.
Kim, Jong-Seok, Seungwoo Kang, & Ohyun Jo. (2023). Lightweight Data Processing Scheme based on Machine Learning for 5G DMRS Index Classification. Asia-pacific Journal of Convergent Research Interchange. 9(11). 91–101. 2 indexed citations
8.
Cho, Yong-Ho, et al.. (2021). Iterative Learning for Reliable Link Adaptation in the Internet of Underwater Things. IEEE Access. 9. 30408–30416. 8 indexed citations
9.
Singhal, Vivek, Sushant Jain, Divya Anand, et al.. (2020). Artificial Intelligence Enabled Road Vehicle-Train Collision Risk Assessment Framework for Unmanned Railway Level Crossings. IEEE Access. 8. 113790–113806. 45 indexed citations
10.
Patel, Harshita, Dharmendra Singh Rajput, Thippa Reddy Gadekallu, et al.. (2020). A review on classification of imbalanced data for wireless sensor networks. International Journal of Distributed Sensor Networks. 16(4). 812444408–812444408. 119 indexed citations
11.
Iwendi, Celestine, Zunera Jalil, Abdul Rehman Javed, et al.. (2020). KeySplitWatermark: Zero Watermarking Algorithm for Software Protection Against Cyber-Attacks. IEEE Access. 8. 72650–72660. 106 indexed citations
12.
Park, Jin Hoon, et al.. (2020). Deep Learning based BER Prediction Model in Underwater IoT Networks. Journal of Convergence Information Technology. 10(6). 41–48. 3 indexed citations
13.
Jo, Ohyun, et al.. (2020). Q-NAV: NAV Setting Method based on Reinforcement Learning in Underwater Wireless Networks. arXiv (Cornell University). 2 indexed citations
14.
Jo, Ohyun, et al.. (2020). Analyzing Past User History through Recovering Deleted $UsnJrnl file. Journal of Convergence Information Technology. 10(5). 23–29. 1 indexed citations
15.
Jo, Ohyun, et al.. (2020). Machine Learning-based MCS Prediction Models for Link Adaptation in Underwater Networks. Journal of Convergence Information Technology. 10(5). 1–7. 2 indexed citations
16.
Iwendi, Celestine, Ali Kashif Bashir, R. Sujatha, et al.. (2020). COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm. Frontiers in Public Health. 8. 357–357. 317 indexed citations breakdown →
17.
Lee, Jaejun, et al.. (2018). IoT-based Water Tank Management System for Real-time Monitoring and Controling. Journal of Convergence Information Technology. 8(6). 217–223. 1 indexed citations
18.
Jo, Ohyun, et al.. (2018). SNR analysis and estimation for efficient phase noise mitigation in millimetre‐wave SC‐FDE systems. IET Communications. 12(18). 2347–2356. 2 indexed citations
19.
Jo, Ohyun, et al.. (2017). Internet of Things for Smart Railway: Feasibility and Applications. IEEE Internet of Things Journal. 5(2). 482–490. 79 indexed citations
20.
Jo, Ohyun, et al.. (2009). Seamless spectrum handover considering differential path-loss in cognitive radio systems. IEEE Communications Letters. 13(3). 190–192. 13 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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