Dong‐oh Kang

584 total citations
51 papers, 343 citations indexed

About

Dong‐oh Kang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Dong‐oh Kang has authored 51 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 20 papers in Computer Vision and Pattern Recognition and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Dong‐oh Kang's work include Context-Aware Activity Recognition Systems (10 papers), Bluetooth and Wireless Communication Technologies (7 papers) and Multimedia Communication and Technology (7 papers). Dong‐oh Kang is often cited by papers focused on Context-Aware Activity Recognition Systems (10 papers), Bluetooth and Wireless Communication Technologies (7 papers) and Multimedia Communication and Technology (7 papers). Dong‐oh Kang collaborates with scholars based in South Korea, United States and United Kingdom. Dong‐oh Kang's co-authors include Kyuchang Kang, Hu Han, Seong‐Whan Lee, Anil K. Jain, Changseok Bae, Jun-Young Jung, Zeungnam Bien, Eunjung Ko, Seung‐Ha Lee and Yun‐Jung Lee and has published in prestigious journals such as IEEE Access, Pattern Recognition and Autonomous Robots.

In The Last Decade

Dong‐oh Kang

44 papers receiving 317 citations

Peers

Dong‐oh Kang
Ozgur Yurur United States
Zhengyi Le United States
Qin Ni China
Martin Wirz Switzerland
Atif Alamri Saudi Arabia
Manhyung Han South Korea
Dong‐oh Kang
Citations per year, relative to Dong‐oh Kang Dong‐oh Kang (= 1×) peers Dario Bottazzi

Countries citing papers authored by Dong‐oh Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐oh Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐oh Kang. 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 Dong‐oh Kang. The network helps show where Dong‐oh Kang may publish in the future.

Co-authorship network of co-authors of Dong‐oh Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐oh Kang. A scholar is included among the top collaborators of Dong‐oh Kang 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 Dong‐oh Kang. Dong‐oh Kang 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.
Kim, Taeho, et al.. (2024). Distributed Deep Learning for Real-World Implicit Mapping in Multi-Robot Systems. 1619–1624. 1 indexed citations
3.
Park, Min-Ho & Dong‐oh Kang. (2023). Urban Scene Editing with Diffusion Model using Segmentation Mask. 1881–1884. 2 indexed citations
5.
Kang, Dong‐oh, et al.. (2021). GOMS: Large‐scale ontology management system using graph databases. ETRI Journal. 44(5). 780–793. 2 indexed citations
6.
Kim, Hyun Woo, et al.. (2019). Self-Improving Artificial Intelligence Technology. 34(4). 43–54. 1 indexed citations
7.
Kang, Dong‐oh, et al.. (2018). Simulation framework for self-evolving agent-based models: a case study of housing market model. Winter Simulation Conference. 1120–1131. 1 indexed citations
8.
Kang, Dong‐oh, et al.. (2018). Data assimilation technique for social agent-based simulation by using reinforcement learning. 220–221. 3 indexed citations
9.
Kang, Dong‐oh, et al.. (2016). Incremental Self-Evolving Framework for Agent-Based Simulation. 1428–1429. 2 indexed citations
10.
Kang, Dong‐oh, et al.. (2015). Clustering Approach of Device Interactions for Automatic Generation of Device Social Relation. International Journal of Machine Learning and Computing. 5(2). 132–136.
11.
Roh, Myung-Cheol, et al.. (2015). A virtual mouse interface with a two-layered Bayesian network. Multimedia Tools and Applications. 76(2). 1615–1638.
12.
Kang, Dong‐oh, et al.. (2014). Investigating correlations between human social relationships and online communications. 736–737. 3 indexed citations
13.
Jung, Jun-Young, Dong‐oh Kang, & Changseok Bae. (2013). Distance Estimation of Smart Device using Bluetooth. 13–18. 17 indexed citations
14.
Kang, Dong‐oh, et al.. (2012). A smart class system based on SoD (System on-Demand) technology. 1–2. 1 indexed citations
15.
Kang, Dong‐oh, et al.. (2006). A Wearable Context Aware System for Ubiquitous Healthcare. PubMed. 2006. 5192–5195. 51 indexed citations
16.
Kang, Dong‐oh, et al.. (2006). An UPnP based Media Distribution System supporting QoS in a Converged Home Network. 6. 1–4. 1 indexed citations
17.
Kang, Dong‐oh, et al.. (2005). UPnP AV architectural multimedia system with an OSGi platform. 442–446. 1 indexed citations
18.
Yoo, Jinho, et al.. (2004). Implementation of MPEG2-TS streaming system over wireless 1394 network. 1. 161–163. 1 indexed citations
19.
Kang, Dong‐oh, et al.. (2003). Multiple Reward Reinforcement learning control of a mobile robot in home network environment. 제어로봇시스템학회 국제학술대회 논문집. 1300–1304. 2 indexed citations
20.
Kang, Dong‐oh, et al.. (2002). A study on an adaptive gait for a quadruped walking robot under external forces. 4. 2777–2782. 26 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026