Tai‐Won Um

1.1k total citations
60 papers, 765 citations indexed

About

Tai‐Won Um is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Tai‐Won Um has authored 60 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Networks and Communications, 17 papers in Information Systems and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Tai‐Won Um's work include IoT and Edge/Fog Computing (13 papers), Caching and Content Delivery (9 papers) and Blockchain Technology Applications and Security (8 papers). Tai‐Won Um is often cited by papers focused on IoT and Edge/Fog Computing (13 papers), Caching and Content Delivery (9 papers) and Blockchain Technology Applications and Security (8 papers). Tai‐Won Um collaborates with scholars based in South Korea, United Kingdom and Pakistan. Tai‐Won Um's co-authors include Gyu Myoung Lee, Upul Jayasinghe, Qi Shi, Nguyen B. Truong, Muhammad Waleed, Bo Zhou, Jun Kyun Choi, Aftab Khan, Tariq Kamal and Won Ryu and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and Sensors.

In The Last Decade

Tai‐Won Um

55 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tai‐Won Um South Korea 15 443 320 199 126 100 60 765
Adnan Ahmed Abi Sen Saudi Arabia 15 279 0.6× 155 0.5× 251 1.3× 222 1.8× 85 0.8× 52 774
Deepika Saxena India 20 549 1.2× 700 2.2× 324 1.6× 102 0.8× 38 0.4× 83 1.1k
Bibudhendu Pati India 17 432 1.0× 182 0.6× 123 0.6× 186 1.5× 37 0.4× 102 808
Ioanna Roussaki Greece 15 311 0.7× 239 0.7× 175 0.9× 114 0.9× 47 0.5× 44 829
Munesh Chandra Trivedi India 16 257 0.6× 243 0.8× 233 1.2× 90 0.7× 33 0.3× 75 742
Nasib Singh Gill India 16 273 0.6× 336 1.1× 352 1.8× 108 0.9× 38 0.4× 123 912
Sajjad Hussain Chauhdary Saudi Arabia 15 362 0.8× 154 0.5× 131 0.7× 193 1.5× 22 0.2× 45 767
Imran Memon Pakistan 15 261 0.6× 159 0.5× 172 0.9× 202 1.6× 31 0.3× 37 629
Yusuf Perwej India 17 159 0.4× 249 0.8× 190 1.0× 105 0.8× 80 0.8× 70 759
Hongji Yang United Kingdom 12 288 0.7× 337 1.1× 159 0.8× 71 0.6× 29 0.3× 101 641

Countries citing papers authored by Tai‐Won Um

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Won Um

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Won Um. 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 Tai‐Won Um. The network helps show where Tai‐Won Um may publish in the future.

Co-authorship network of co-authors of Tai‐Won Um

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Won Um. A scholar is included among the top collaborators of Tai‐Won Um 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 Tai‐Won Um. Tai‐Won Um 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.
Um, Tai‐Won, et al.. (2024). Sign-YOLO: Traffic Sign Detection Using Attention-Based YOLOv7. IEEE Access. 12. 132689–132700. 6 indexed citations
3.
Oh, Seungmin, et al.. (2023). Digital Twins Temporal Dependencies-Based on Time Series Using Multivariate Long Short-Term Memory. Electronics. 12(19). 4187–4187. 11 indexed citations
4.
Aliyu, Ibrahim, et al.. (2023). Toward a Dynamic Tasks Offloading and Resource Allocation for the Metaverse in In-network Computing. 3. 798–803. 1 indexed citations
5.
Oh, Seungmin, et al.. (2023). Deep Learning Model Performance and Optimal Model Study for Hourly Fine Power Consumption Prediction. Electronics. 12(16). 3528–3528. 3 indexed citations
6.
Waleed, Muhammad, et al.. (2023). Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges. Sensors. 23(15). 6760–6760. 10 indexed citations
8.
Aliyu, Ibrahim, et al.. (2023). Deep Learning for Multivariate Prediction of Building Energy Performance of Residential Buildings. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5947–5964. 3 indexed citations
9.
Aliyu, Ibrahim, et al.. (2023). XDN-Based Network Framework Design to Communicate Interaction in Virtual Concerts with Metaverse Platforms. Applied Sciences. 13(17). 9509–9509. 2 indexed citations
10.
Song, Mingyu, et al.. (2022). Selective Layer Tuning and Performance Study of Pre-Trained Models Using Genetic Algorithm. Electronics. 11(19). 2985–2985. 4 indexed citations
11.
Waleed, Muhammad, et al.. (2021). Classification of Agriculture Farm Machinery Using Machine Learning and Internet of Things. Symmetry. 13(3). 403–403. 30 indexed citations
12.
Waleed, Muhammad, et al.. (2020). Determining the Precise Work Area of Agriculture Machinery Using Internet of Things and Artificial Intelligence. Applied Sciences. 10(10). 3365–3365. 22 indexed citations
13.
Yoon, Yong-Ik, et al.. (2020). Blockchain-based Perfect Sharing Project Platform based on the Proof of Atomicity Consensus Algorithm. Tehnicki vjesnik - Technical Gazette. 27(4). 8 indexed citations
14.
Ashiquzzaman, Akm, et al.. (2020). Deep Learning-Guided Production Quality Estimation for Virtual Environment-Based Applications. Tehnicki vjesnik - Technical Gazette. 27(6). 1 indexed citations
15.
Ashiquzzaman, Akm, et al.. (2019). Deeplearning Convolutional Neural Network based QoE Assessment Module for 4K UHD Video Streaming. 392–397. 3 indexed citations
16.
Ashiquzzaman, Akm, et al.. (2019). Compacting Deep Neural Networks for Light Weight IoT & SCADA Based Applications with Node Pruning. 3361. 82–85. 6 indexed citations
17.
Um, Tai‐Won, Gyu Myoung Lee, & Hyunwoo Lee. (2018). Trustworthiness management in sharing CDN infrastructure. Liverpool John Moores University. 73–75. 2 indexed citations
18.
Nguyễn, Hoàng Long, et al.. (2017). Event-Driven Trust Refreshment on Ambient Services. IEEE Access. 5. 4664–4670. 13 indexed citations
19.
Truong, Nguyen B., Upul Jayasinghe, Tai‐Won Um, & Gyu Myoung Lee. (2016). A Survey on Trust Computation in the Internet of Things. 33(2). 10–27. 15 indexed citations
20.
Um, Tai‐Won, Jun Kyun Choi, Seong Gon Choi, & Won Ryu. (2006). Performance of a Partial Burst Retransmission Mechanism in OBS Networks. 108–108. 4 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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