Jiheon Kang

463 total citations · 1 hit paper
9 papers, 358 citations indexed

About

Jiheon Kang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Jiheon Kang has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Mechanics. Recurrent topics in Jiheon Kang's work include IoT and Edge/Fog Computing (2 papers), Water Quality Monitoring Technologies (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). Jiheon Kang is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Water Quality Monitoring Technologies (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). Jiheon Kang collaborates with scholars based in South Korea. Jiheon Kang's co-authors include Doo-Seop Eom, Jaeho Lee, Youn-Jong Park, Soo‐Geun Wang, Wonjae Cha and Jeon Yeob Jang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and IEEE Sensors Journal.

In The Last Decade

Jiheon Kang

7 papers receiving 345 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems

2017 275 citations Jiheon Kang, Youn-Jong Park et al. IEEE Transactions on Industrial Electronics profile →

Peers

Jiheon Kang

CSE

OE

EEE

WST

AI

Muhammad Faizan Mysorewala Saudi Arabia

Dimitris Chatzigeorgiou United States

Weiguo Lin China

Christos Spandonidis Greece

Matthaios Bimpas Greece

Manuel E. Ruiz-Sandoval Mexico

Yuguang Fu China

Ildeberto Santos‐Ruiz Mexico

Guang-Dong Zhou China

Muhammad Faizan Mysorewala Saudi Arabia

Jiheon Kang

114 ×0.6

CSE

101 ×1.0

OE

68 ×0.8

EEE

56 ×0.8

WST

38 ×0.6

AI

Citations per year, relative to Jiheon Kang Jiheon Kang (= 1×) peers Muhammad Faizan Mysorewala

Countries citing papers authored by Jiheon Kang

Since Specialization

Citations

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

Fields of papers citing papers by Jiheon Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiheon Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiheon Kang. A scholar is included among the top collaborators of Jiheon 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 Jiheon Kang. Jiheon Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Kang, Jiheon, et al.. (2024). Fixed Point Cloud Normalization and None-Sequential Modeling for Hand Gesture Recognition Based on Short-Range mmWave Radar Sensor’s Sparse Time-Series Point Cloud. IEEE Sensors Journal. 24(7). 10656–10668. 6 indexed citations

2.

Kang, Jiheon, et al.. (2024). Precision Diagnosis of Glaucoma with VLLM Ensemble Deep Learning. Applied Sciences. 14(11). 4588–4588. 5 indexed citations

3.

Kang, Jiheon, et al.. (2024). Enhancing ToF Sensor Precision Using 3D Models and Simulation for Vision Inspection in Industrial Mobile Robots. Applied Sciences. 14(11). 4595–4595. 4 indexed citations

4.

Kang, Jiheon. (2019). IP-Based Heterogeneous Network Interface Gateway for IoT Big Data Collection. The Journal of the Korean Institute of Information and Communication Engineering. 23(2). 173–178.

5.

Kang, Jiheon & Doo-Seop Eom. (2019). Offloading and Transmission Strategies for IoT Edge Devices and Networks. Sensors. 19(4). 835–835. 23 indexed citations

6.

Kang, Jiheon, et al.. (2018). Smartphone-Based Traveled Distance Estimation Using Individual Walking Patterns for Indoor Localization. Sensors. 18(9). 3149–3149. 40 indexed citations

7.

Kang, Jiheon, et al.. (2017). Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems. IEEE Transactions on Industrial Electronics. 65(5). 4279–4289. 275 indexed citations breakdown →

8.

Cha, Wonjae, et al.. (2016). Liquid-type Botulinum Toxin Type A in Adductor Spasmodic Dysphonia: A Prospective Pilot Study. Journal of Voice. 31(3). 378.e19–378.e24. 3 indexed citations

9.

Lee, Jaeho, et al.. (2012). Energy Efficient Clustering Algorithm for Surveillance and Reconnaissance Applications in Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences. 37C(11). 1170–1181. 2 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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