Byung-Won On

1.2k total citations · 1 hit paper
57 papers, 774 citations indexed

About

Byung-Won On is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Byung-Won On has authored 57 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Information Systems, 26 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Byung-Won On's work include Web Data Mining and Analysis (10 papers), Topic Modeling (8 papers) and Data Quality and Management (8 papers). Byung-Won On is often cited by papers focused on Web Data Mining and Analysis (10 papers), Topic Modeling (8 papers) and Data Quality and Management (8 papers). Byung-Won On collaborates with scholars based in South Korea, United States and Singapore. Byung-Won On's co-authors include Gyu Sang Choi, Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Muhammad Umer, Zainab Imtiaz, Saima Sadiq, Dongwon Lee, Seog‐Chan Oh and Dongwon Jeong and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Byung-Won On

46 papers receiving 710 citations

Hit Papers

Fake News Stance Detection Using Deep Learning Architectu... 2020 2026 2022 2024 2020 50 100 150
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.

  1. Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)
    2020 198 citations Muhammad Umer, Zainab Imtiaz et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung-Won On South Korea 12 399 307 194 154 84 57 774
Azreen Azman Malaysia 16 411 1.0× 187 0.6× 92 0.5× 83 0.5× 157 1.9× 76 863
Fahim Sufi Australia 22 360 0.9× 183 0.6× 184 0.9× 152 1.0× 18 0.2× 83 1.2k
João Francisco Valiati Brazil 5 596 1.5× 235 0.8× 82 0.4× 35 0.2× 38 0.5× 8 910
Alessandro Murgia Italy 15 221 0.6× 528 1.7× 22 0.1× 44 0.3× 47 0.6× 39 743
Ahmed Alsayat Saudi Arabia 12 257 0.6× 184 0.6× 58 0.3× 105 0.7× 10 0.1× 23 599
Deepa Gupta India 20 954 2.4× 195 0.6× 55 0.3× 116 0.8× 12 0.1× 135 1.3k
Zon‐Yin Shae United States 16 262 0.7× 573 1.9× 132 0.7× 68 0.4× 22 0.3× 63 1.1k
Patrick Loiseau France 13 141 0.4× 82 0.3× 135 0.7× 29 0.2× 33 0.4× 72 566
Ou Jin China 9 611 1.5× 467 1.5× 67 0.3× 46 0.3× 13 0.2× 16 1.1k
Junaid Rashid Pakistan 15 347 0.9× 150 0.5× 39 0.2× 22 0.1× 22 0.3× 71 967

Countries citing papers authored by Byung-Won On

Since Specialization
Citations

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

Fields of papers citing papers by Byung-Won On

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Byung-Won On. 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 Byung-Won On. The network helps show where Byung-Won On may publish in the future.

Co-authorship network of co-authors of Byung-Won On

This figure shows the co-authorship network connecting the top 25 collaborators of Byung-Won On. A scholar is included among the top collaborators of Byung-Won On 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 Byung-Won On. Byung-Won On 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.
On, Byung-Won, et al.. (2025). SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent. IEEE Access. 13. 35674–35687. 2 indexed citations
2.
On, Byung-Won, et al.. (2023). A Pooled RNN-based Deep Learning Model based on Data Augmentation for Clickbait Detection. The Journal of Korean Institute of Information Technology. 21(4). 45–56. 1 indexed citations
3.
Rafiq, Muhammad, et al.. (2022). DeepRide: Dashcam Video Description Dataset for Autonomous Vehicle Location-Aware Trip Description. IEEE Access. 10. 107361–107375. 4 indexed citations
4.
5.
On, Byung-Won, et al.. (2021). QSOD: Hybrid Policy Gradient for Deep Multi-agent Reinforcement Learning. IEEE Access. 9. 129728–129741. 11 indexed citations
6.
On, Byung-Won, et al.. (2021). Efficient Sentiment-Aware Web Crawling Methods for Constructing Sentiment Dictionary. IEEE Access. 9. 161208–161223. 1 indexed citations
7.
Sadiq, Saima, Saleem Ullah, Waqar Aslam, et al.. (2021). Classification ofβ-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier. IEEE Access. 9. 45528–45538. 21 indexed citations
8.
On, Byung-Won, et al.. (2021). High-Quality Train Data Generation for Deep Learning-Based Web Page Classification Models. IEEE Access. 9. 85240–85254. 3 indexed citations
9.
Umer, Muhammad, Zainab Imtiaz, Saleem Ullah, et al.. (2020). Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM). IEEE Access. 8. 156695–156706. 198 indexed citations breakdown →
10.
Mehmood, Arif, et al.. (2019). Heartbeat Sound Signal Classification Using Deep Learning. Sensors. 19(21). 4819–4819. 121 indexed citations
11.
On, Byung-Won, et al.. (2019). An Unified Spatial Index and Visualization Method for the Trajectory and Grid Queries in Internet of Things. Journal of the Korea Society of Computer and Information. 24(9). 83–95. 1 indexed citations
12.
Liang, Guoxi, et al.. (2018). Automated Essay Scoring: A Siamese Bidirectional LSTM Neural Network Architecture. Symmetry. 10(12). 682–682. 33 indexed citations
13.
On, Byung-Won, et al.. (2018). KNU Korean Sentiment Lexicon: Bi-LSTM-based Method for Building a Korean Sentiment Lexicon. Journal of Intelligence and Information Systems. 24(4). 219–240. 21 indexed citations
14.
On, Byung-Won, et al.. (2017). Evaluating Retrieval Effectiveness by Sustainable Rank List. Sustainability. 9(7). 1203–1203. 1 indexed citations
15.
On, Byung-Won, et al.. (2016). Reversible data hiding algorithm using spatial locality and the surface characteristics of image. Journal of the Korea Society of Computer and Information. 21(8). 1–12. 1 indexed citations
16.
On, Byung-Won, et al.. (2016). Effective social graph visualization techniques using friend and hierarchical matching. Intelligent Data Analysis. 20(2). 417–438. 2 indexed citations
17.
On, Byung-Won, et al.. (2014). Gathering web pages of entities with high precision. Journal of Web Engineering. 13(5). 378–404. 1 indexed citations
18.
On, Byung-Won, et al.. (2010). Framework for Mixed Entity Resolving System Using Unsupervised Clustering. Journal of Digital Information Management. 8(6). 362–376.
19.
On, Byung-Won, et al.. (2009). Algebraic Algorithms to Solve Name Disambiguation Problem.. 468–474. 3 indexed citations
20.
On, Byung-Won & Myong-Soon Park. (2002). A reliable multicast protocol in networks with mobile hosts. 27–35.

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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