Beakcheol Jang

3.0k total citations · 2 hit papers
86 papers, 1.9k citations indexed

About

Beakcheol Jang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Beakcheol Jang has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 28 papers in Electrical and Electronic Engineering and 14 papers in Aerospace Engineering. Recurrent topics in Beakcheol Jang's work include Privacy-Preserving Technologies in Data (17 papers), Indoor and Outdoor Localization Technologies (13 papers) and Data-Driven Disease Surveillance (12 papers). Beakcheol Jang is often cited by papers focused on Privacy-Preserving Technologies in Data (17 papers), Indoor and Outdoor Localization Technologies (13 papers) and Data-Driven Disease Surveillance (12 papers). Beakcheol Jang collaborates with scholars based in South Korea, United States and United Kingdom. Beakcheol Jang's co-authors include Jong Wook Kim, Gaspard Harerimana, Myeonghwi Kim, Hyunjung Kim, Mihail L. Sichitiu, Inhwan Kim, Hoon Yoo, Daeho Kim, JungWon Yoon and Wonyong Yoon and has published in prestigious journals such as PLoS ONE, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.

In The Last Decade

Beakcheol Jang

79 papers receiving 1.8k 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.

Q-Learning Algorithms: A Comprehensive Classification and Applications

2019 358 citations Beakcheol Jang, Myeonghwi Kim et al. IEEE Access profile →
Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

2020 267 citations Beakcheol Jang, Myeonghwi Kim et al. profile →

Peers

Countries citing papers authored by Beakcheol Jang

Since Specialization

Citations

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

Fields of papers citing papers by Beakcheol Jang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beakcheol Jang

This figure shows the co-authorship network connecting the top 25 collaborators of Beakcheol Jang. A scholar is included among the top collaborators of Beakcheol Jang 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 Beakcheol Jang. Beakcheol Jang 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	Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization 2025 ·PLoS ONE ·(unknown), (unknown), Beakcheol Jang	0
2	Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey 2024 ·Journal of Network and Computer Applications ·Jong Wook Kim, Beakcheol Jang	4
3	An Approach on Improving the Recommender System: Predicting Movie Genres Based on Plot Summaries 2024 ·(unknown), Jae Heon Kim, Minkyoung Kim, Taekyoung Kwon, Beakcheol Jang	1
4	Heterogeneous macroeconomic factors’ effects on stocks across sizes, styles, and sectors in the South Korean market 2024 ·PLoS ONE ·(unknown), (unknown), Beakcheol Jang	0
5	HSGA: A Hybrid LSTM-CNN Self-Guided Attention to Predict the Future Diagnosis From Discharge Narratives 2023 ·IEEE Access ·Gaspard Harerimana, (unknown), Jong Wook Kim, Beakcheol Jang	4
6	Petroleum Price Prediction with CNN-LSTM and CNN-GRU Using Skip-Connection 2023 ·Mathematics ·(unknown), Beakcheol Jang	28
7	COVID-19 outbreak prediction using Seq2Seq + Attention and Word2Vec keyword time series data 2023 ·PLoS ONE ·(unknown), (unknown), Jae‐Pyoung Ahn, Beakcheol Jang	4
8	A Multi-Headed Transformer Approach for Predicting the Patient’s Clinical Time-Series Variables From Charted Vital Signs 2022 ·IEEE Access ·Gaspard Harerimana, Jong Wook Kim, Beakcheol Jang	15
9	Effective Training Data Extraction Method to Improve Influenza Outbreak Prediction from Online News Articles: Deep Learning Model Study 2021 ·JMIR Medical Informatics ·Beakcheol Jang, Inhwan Kim, Jong Wook Kim	8
10	Long-Term Influenza Outbreak Forecast Using Time-Precedence Correlation of Web Data 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Beakcheol Jang, Inhwan Kim, Jong Wook Kim	2
11	EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data 2021 ·Sensors ·Beakcheol Jang, Myeonghwi Kim, Inhwan Kim, Jong Wook Kim	4
12	A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data 2021 ·Journal of Biomedical Informatics ·Gaspard Harerimana, Jong Wook Kim, Beakcheol Jang	30
13	Indoor positioning technique using the landmark based on relative AP signal strengths 2020 ·Journal of the Korea Society of Computer and Information ·(unknown), Beakcheol Jang	1
14	Prediction of infectious diseases using multiple web data and LSTM 2020 ·Journal of Internet Computing and services ·(unknown), Inhwan Kim, Beakcheol Jang	1
15	Word2vec convolutional neural networks for classification of news articles and tweets 2019 ·PLoS ONE ·Beakcheol Jang, Inhwan Kim, Jong Wook Kim	116
16	DOVE: An Infectious Disease Outbreak Statistics Visualization System 2018 ·IEEE Access ·(unknown), Jong Wook Kim, Beakcheol Jang	12
17	An accurate fingerprinting based indoor positioning algorithm 2017 ·International Journal of Applied Engineering Research ·(unknown), Beakcheol Jang	16
18	A DVC switchable antenna technique for the hand effect in mobile terminals 2015 ·Microwave and Optical Technology Letters ·(unknown), Beakcheol Jang	1
19	Design of two-point interpolation filters by modifying linear interpolation kernel 2013 ·Hoon Yoo, (unknown), Beakcheol Jang	1
20	DNS Resolution with Renewal Using Piggyback. 2003 ·Beakcheol Jang, (unknown)	2

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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