Kijun Han

5.4k total citations · 2 hit papers
128 papers, 3.6k citations indexed

About

Kijun Han is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kijun Han has authored 128 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Computer Networks and Communications, 58 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kijun Han's work include Mobile Ad Hoc Networks (36 papers), Energy Efficient Wireless Sensor Networks (29 papers) and Wireless Networks and Protocols (22 papers). Kijun Han is often cited by papers focused on Mobile Ad Hoc Networks (36 papers), Energy Efficient Wireless Sensor Networks (29 papers) and Wireless Networks and Protocols (22 papers). Kijun Han collaborates with scholars based in South Korea, Pakistan and Sri Lanka. Kijun Han's co-authors include Bhagya Nathali Silva, Murad Khan, Shehzad Khalid, Murad Khan, Jihun Han, Sohail Jabbar, Muhammad Diyan, Muhammad Munwar Iqbal, Sheraz Naseer and Muhammad Khawar Bashir and has published in prestigious journals such as IEEE Access, Sensors and Sustainability.

In The Last Decade

Kijun Han

108 papers receiving 3.4k citations

Hit Papers

Towards sustainable smart cities: A review of trends, arc... 2018 2026 2020 2023 2018 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kijun Han South Korea 29 1.8k 1.1k 829 500 481 128 3.6k
Angelo Castellani Italy 11 2.9k 1.6× 2.1k 1.8× 596 0.7× 463 0.9× 344 0.7× 17 5.0k
Nicola Bui Italy 17 3.0k 1.7× 2.3k 2.1× 606 0.7× 517 1.0× 393 0.8× 52 5.4k
Anand Paul South Korea 36 1.8k 1.0× 966 0.9× 524 0.6× 973 1.9× 384 0.8× 168 4.8k
M. Mazhar Rathore South Korea 26 1.1k 0.6× 432 0.4× 474 0.6× 615 1.2× 352 0.7× 65 3.0k
Murad Khan South Korea 21 870 0.5× 660 0.6× 818 1.0× 276 0.6× 498 1.0× 33 2.6k
Antonio J. Jara Spain 34 2.6k 1.4× 1.0k 0.9× 365 0.4× 632 1.3× 217 0.5× 149 4.3k
Jameela Al‐Jaroodi United States 31 2.3k 1.3× 696 0.6× 502 0.6× 461 0.9× 264 0.5× 155 4.7k
Nader Mohamed United States 25 1.7k 0.9× 559 0.5× 445 0.5× 312 0.6× 249 0.5× 120 3.7k
Daqiang Zhang China 28 1.6k 0.9× 916 0.8× 188 0.2× 512 1.0× 209 0.4× 92 3.9k
Klaus Moessner United Kingdom 34 3.2k 1.8× 2.5k 2.3× 277 0.3× 607 1.2× 148 0.3× 278 4.9k

Countries citing papers authored by Kijun Han

Since Specialization
Citations

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

Fields of papers citing papers by Kijun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kijun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kijun Han. A scholar is included among the top collaborators of Kijun Han 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 Kijun Han. Kijun Han 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.
Diyan, Muhammad, et al.. (2020). Intelligent Internet of Things gateway supporting heterogeneous energy data management and processing. Transactions on Emerging Telecommunications Technologies. 33(2). 18 indexed citations
2.
Silva, Bhagya Nathali, et al.. (2020). Algorithmic implementation of deep learning layer assignment in edge computing based smart city environment. Computers & Electrical Engineering. 89. 106909–106909. 9 indexed citations
3.
Diyan, Muhammad, et al.. (2020). A Routing Protocol Based on Multi-factor Decision in VANET. 7. 1–4. 6 indexed citations
4.
Silva, Bhagya Nathali, et al.. (2019). Cost‐ and comfort‐aware aggregated modified least slack time–based domestic power scheduling for residential communities. Transactions on Emerging Telecommunications Technologies. 33(2). 5 indexed citations
5.
Khan, Murad, et al.. (2019). Load Balancing and Interference Delay Aware Routing in IoT Aware Wireless Mesh Networks. 網際網路技術學刊. 20(1). 293–300. 1 indexed citations
6.
Kim, Jonghyun, et al.. (2019). Cyber Threat Detection Based on Artificial Neural Networks Using Event Profiles. IEEE Access. 7. 165607–165626. 96 indexed citations
7.
Jabbar, Sohail, Farhan Ullah, Shehzad Khalid, Murad Khan, & Kijun Han. (2017). Semantic Interoperability in Heterogeneous IoT Infrastructure for Healthcare. Wireless Communications and Mobile Computing. 2017. 1–10. 114 indexed citations
8.
Kim, Junhyung, et al.. (2013). A Self-Organizing Angle-based Routing Protocol for Urban Environments. Journal of Digital Convergence. 11(10). 379–385. 1 indexed citations
9.
Song, Jung‐Hoon, et al.. (2012). A channel interval adjustment scheme to improve RSU capacity in vehicular networks. IEICE Communications Express. 1(3). 107–112. 1 indexed citations
10.
Kim, Yonghwan, et al.. (2011). A Case Study on Application for Software Reliability Model to Improve Reliability of the Weapon System. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 38(8). 405–418. 4 indexed citations
11.
Kim, Hyunsook, et al.. (2007). An efficient topology configuration scheme for wireless sensor networks. 145–150. 8 indexed citations
12.
Choi, Minho, et al.. (2007). An energy efficient clustering method for wireless sensor networks. 139–144. 3 indexed citations
13.
Han, Kijun, et al.. (2007). An adaptive TXOP allocation in IEEE 802.11e WLANs. 187–192. 2 indexed citations
14.
Kang, Taewook, et al.. (2007). A clustering method for energy efficient routing in wireless sensor networks. 133–138. 30 indexed citations
15.
Han, Kijun, et al.. (2006). A Backoff Algorithm Based on Residual Energy for Medium Access Control in Wireless Sensor Networks. ICEIC : International Conference on Electronics, Informations and Communications. 235–238.
16.
Han, Kijun, et al.. (2005). An Adaptive Flooding Scheme based on local density for Ad hoc Networks. Journal of the Institute of Electronics Engineers of Korea. 42(9). 11–18. 1 indexed citations
17.
Han, Kijun, et al.. (2005). A lookup algorithm based on multiple tables for high-speed routers. Journal of High Speed Networks. 14(3). 227–234. 1 indexed citations
18.
Han, Kijun, et al.. (2004). Position-Based Cluster Routing Protocol for Wireless Microsensor Networks. ICEIC : International Conference on Electronics, Informations and Communications. 330–333.
19.
Han, Kijun, et al.. (2004). Super Cluster based Routing Protocol in Sensor Network. ICEIC : International Conference on Electronics, Informations and Communications. 193–198. 1 indexed citations
20.
Han, Kijun, et al.. (2002). A Channel Allocation Scheme Using Channel Reservation, Carrying and Sub-Rating for Handoff in Wireless Networks. IEICE Transactions on Communications. 85(11). 2387–2394. 1 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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