Jaeyong Kang

1.3k total citations · 1 hit paper
23 papers, 846 citations indexed

About

Jaeyong Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jaeyong Kang has authored 23 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Jaeyong Kang's work include Service-Oriented Architecture and Web Services (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Brain Tumor Detection and Classification (3 papers). Jaeyong Kang is often cited by papers focused on Service-Oriented Architecture and Web Services (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Brain Tumor Detection and Classification (3 papers). Jaeyong Kang collaborates with scholars based in South Korea, Singapore and China. Jaeyong Kang's co-authors include Jeonghwan Gwak, Zahid Ullah, Kwang Mong Sim, Hyunju Lee, Chul-Su Kim, Dorien Herremans, Jeong Won Kang, Soujanya Poria, Byeong C. Kim and Kun Ho Lee and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Jaeyong Kang

22 papers receiving 801 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.

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

2021 378 citations Jaeyong Kang, Zahid Ullah et al. Sensors profile →

Peers

Countries citing papers authored by Jaeyong Kang

Since Specialization

Citations

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

Fields of papers citing papers by Jaeyong Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeyong Kang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges 2025 ·IEEE Transactions on Affective Computing ·Jaeyong Kang, Dorien Herremans	0
2	Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model 2024 ·Expert Systems with Applications ·Jaeyong Kang, Soujanya Poria, Dorien Herremans	14
3	Smart Insole-Based Classification of Alzheimer’s Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning 2024 ·IEEE Transactions on Consumer Electronics ·(unknown), Jaeyong Kang, Byeong C. Kim, Kun Ho Lee, Jong‐In Song, Jeonghwan Gwak	3
4	A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Zixun Guo, Jaeyong Kang, Dorien Herremans	3
5	Early Alzheimer’s Disease Diagnosis Using Wearable Sensors and Multilevel Gait Assessment: A Machine Learning Ensemble Approach 2023 ·IEEE Sensors Journal ·(unknown), Jaeyong Kang, Byeong C. Kim, Kun Ho Lee, Jong‐In Song, Jeonghwan Gwak	18
6	Recurrent Autoencoder Ensembles for Brake Operating Unit Anomaly Detection on Metro Vehicles 2022 ·Computers, materials & continua/Computers, materials & continua (Print) ·Jaeyong Kang, Chul-Su Kim, Jeong Won Kang, Jeonghwan Gwak	6
7	Deep Learning-Based Brain Tumor Classification in MRI images using Ensemble of Deep Features 2021 ·Journal of the Korea Society of Computer and Information ·Jaeyong Kang, Jeonghwan Gwak	3
8	MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers breakdown → 2021 ·Sensors ·Jaeyong Kang, Zahid Ullah, Jeonghwan Gwak	378
9	Machine learning–based detection model of early Alzheimer's disease using wearable device and gait assessment 2021 ·Alzheimer s & Dementia ·(unknown), Thi Kieu Khanh Ho, Jaeyong Kang, Byeong C. Kim, Kun Ho Lee, Jong‐In Song, Jeonghwan Gwak	1
10	Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification 2021 ·Multimedia Tools and Applications ·Jaeyong Kang, Jeonghwan Gwak	50
11	Anomaly Detection of the Brake Operating Unit on Metro Vehicles Using a One-Class LSTM Autoencoder 2021 ·Applied Sciences ·Jaeyong Kang, Chul-Su Kim, Jeong Won Kang, Jeonghwan Gwak	25
12	KD-ResUNet++: Automatic Polyp Segmentation via Self-Knowledge Distillation. 2020 ·MediaEval ·Jaeyong Kang, Jeonghwan Gwak	2
13	Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification 2020 ·Mathematics ·Jaeyong Kang, Jeonghwan Gwak	18
14	Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images 2019 ·IEEE Access ·Jaeyong Kang, Jeonghwan Gwak	99
15	Deep recurrent convolutional networks for inferring user interests from social media 2018 ·Journal of Intelligent Information Systems ·Jaeyong Kang, (unknown), Hyunju Lee	21
16	A multiagent brokering protocol for supporting Grid resource discovery 2012 ·Applied Intelligence ·Jaeyong Kang, Kwang Mong Sim	12
17	Ontology and search engine for cloud computing system 2011 ·Jaeyong Kang, Kwang Mong Sim	34
18	Towards Agents and Ontology for Cloud Service Discovery 2011 ·Jaeyong Kang, Kwang Mong Sim	47
19	Cloudle : An Agent-based Cloud Search Engine that Consults a Cloud Ontology 2010 ·Jaeyong Kang, Kwang Mong Sim	27
20	Cloudle: A Multi-criteria Cloud Service Search Engine 2010 ·Jaeyong Kang, Kwang Mong Sim	43

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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