Jae-Gil Lee

6.0k total citations · 2 hit papers
90 papers, 3.4k citations indexed

About

Jae-Gil Lee is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Jae-Gil Lee has authored 90 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 38 papers in Signal Processing and 33 papers in Information Systems. Recurrent topics in Jae-Gil Lee's work include Data Management and Algorithms (22 papers), Anomaly Detection Techniques and Applications (17 papers) and Time Series Analysis and Forecasting (17 papers). Jae-Gil Lee is often cited by papers focused on Data Management and Algorithms (22 papers), Anomaly Detection Techniques and Applications (17 papers) and Time Series Analysis and Forecasting (17 papers). Jae-Gil Lee collaborates with scholars based in South Korea, United States and Canada. Jae-Gil Lee's co-authors include Jiawei Han, Kyu-Young Whang, Hwanjun Song, Minseok Kim, Xiaolei Li, Yooju Shin, Xiaolei Li, Héctor González, Steven Euijong Whang and Zhenhui Li and has published in prestigious journals such as BMC Bioinformatics, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jae-Gil Lee

84 papers receiving 3.3k 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.

Trajectory clustering

2007 952 citations Jae-Gil Lee, Jiawei Han et al. profile →
Learning From Noisy Labels With Deep Neural Networks: A Survey

2022 568 citations Hwanjun Song, Minseok Kim et al. profile →

Peers

Countries citing papers authored by Jae-Gil Lee

Since Specialization

Citations

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

Fields of papers citing papers by Jae-Gil Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Gil Lee. 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 Jae-Gil Lee. The network helps show where Jae-Gil Lee may publish in the future.

Co-authorship network of co-authors of Jae-Gil Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Gil Lee. A scholar is included among the top collaborators of Jae-Gil Lee 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 Jae-Gil Lee. Jae-Gil Lee 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	Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection 2025 ·(unknown), Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha	1
2	Large language models are zero-shot point-of-interest recommenders 2025 ·Data Mining and Knowledge Discovery ·Jo‐Eun Kim, Young‐Jin Seo, (unknown), (unknown), (unknown), (unknown), Jae-Gil Lee	1
3	Leveraging Smartphone Human Interaction Routine Behavior Task Mining and Modeling for Daily Stress Monitoring 2025 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·(unknown), (unknown), (unknown), Jae-Gil Lee, Uichin Lee	0
4	Semi-Supervised Learning for Time Series Collected at a Low Sampling Rate 2024 ·(unknown), Yooju Shin, (unknown), (unknown), Jae-Gil Lee	0
5	AnoViz: A Visual Inspection Tool of Anomalies in Multivariate Time Series 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Tae-Yoon Kim, Jae-Gil Lee	2
6	MG-TAR: Multi-View Graph Convolutional Networks for Traffic Accident Risk Prediction 2023 ·IEEE Transactions on Intelligent Transportation Systems ·(unknown), (unknown), Jae-Gil Lee	35
7	Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases 2022 ·Dongmin Park, (unknown), Hwanjun Song, (unknown), Jae-Gil Lee	0
8	Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data 2021 ·Neural Information Processing Systems ·Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee	2
9	Booming Up the Long Tails: Discovering Potentially Contributive Users in Community-Based Question Answering Services 2021 ·Proceedings of the International AAAI Conference on Web and Social Media ·(unknown), Jae-Gil Lee, Uichin Lee	3
10	DTranNER: biomedical named entity recognition with deep learning-based label-label transition model 2020 ·BMC Bioinformatics ·(unknown), Jae-Gil Lee	25
11	Distributed fine-tuning of CNNs for image retrieval on multiple mobile devices 2020 ·Pervasive and Mobile Computing ·(unknown), Jin‐Woo Lee, (unknown), Jae-Gil Lee, Yunxin Liu	3
12	Prestopping: How Does Early Stopping Help Generalization Against Label Noise? 2019 ·arXiv (Cornell University) ·Hwanjun Song, Minseok Kim, (unknown), Jae-Gil Lee	8
13	SELFIE: Refurbishing Unclean Samples for Robust Deep Learning 2019 ·International Conference on Machine Learning ·Hwanjun Song, Minseok Kim, Jae-Gil Lee	106
14	TED Talk Recommender Using Speech Transcripts 2018 ·arXiv (Cornell University) ·Jaehoon Oh, (unknown), (unknown), (unknown), (unknown), Jae-Gil Lee	2
15	Boundary image matching supporting partial denoising using time-series matching techniques 2016 ·Multimedia Tools and Applications ·Bum‐Soo Kim, Yang‐Sae Moon, Jae-Gil Lee	2
16	Scalable community detection from networks by computing edge betweenness on MapReduce 2014 ·(unknown), Jae-Gil Lee, Minseo Kang	23
17	Sampling cube 2008 ·Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun	24
18	n-Gram/2L-approximation: a two-level n-gram inverted index structure for approximate string matching 2007 ·Computer Systems: Science & Engineering ·(unknown), Kyu-Young Whang, Jae-Gil Lee	12
19	n-Gram/2L: A Space and Time Efficient Two-Level n-Gram Inverted Index Structure 2005 ·Very Large Data Bases ·Min‐Soo Kim, Kyu-Young Whang, Jae-Gil Lee, Min-Jae Lee	59
20	Hippocratic XML Databases: A Model and Access Control Mechanism 2004 ·Open Access System for Information Sharing (Pohang University of Science and Technology) ·Jae-Gil Lee, Wook-Shin Han, Kyu-Young Whang	5

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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