Seok-Jun Bu

890 total citations
22 papers, 466 citations indexed

About

Seok-Jun Bu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Seok-Jun Bu has authored 22 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Seok-Jun Bu's work include Network Security and Intrusion Detection (9 papers), Spam and Phishing Detection (6 papers) and Advanced Malware Detection Techniques (5 papers). Seok-Jun Bu is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Spam and Phishing Detection (6 papers) and Advanced Malware Detection Techniques (5 papers). Seok-Jun Bu collaborates with scholars based in South Korea. Seok-Jun Bu's co-authors include Sung‐Bae Cho, Sung-Bae Cho, Jin Young Kim and Won Tae Jeong and has published in prestigious journals such as Information Sciences, Neurocomputing and Energies.

In The Last Decade

Seok-Jun Bu

19 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seok-Jun Bu South Korea 10 261 234 229 125 52 22 466
Makhlouf Derdour Algeria 10 278 1.1× 163 0.7× 351 1.5× 121 1.0× 59 1.1× 76 556
Mohamed Ahzam Amanullah Australia 5 157 0.6× 98 0.4× 187 0.8× 86 0.7× 24 0.5× 8 340
Zahrah A. Almusaylim Saudi Arabia 8 89 0.3× 81 0.3× 311 1.4× 123 1.0× 44 0.8× 9 470
Shahab Tayeb United States 12 107 0.4× 71 0.3× 166 0.7× 78 0.6× 39 0.8× 35 336
Megha Quamara India 7 80 0.3× 80 0.3× 247 1.1× 146 1.2× 45 0.9× 17 404
Amit Dvir Israel 14 163 0.6× 148 0.6× 641 2.8× 69 0.6× 105 2.0× 68 857
M. Omar Al-Kadri United Kingdom 10 121 0.5× 188 0.8× 307 1.3× 137 1.1× 15 0.3× 27 515
Muhammad Sulaiman Pakistan 9 142 0.5× 60 0.3× 163 0.7× 81 0.6× 33 0.6× 19 354
Samer Samarah Jordan 14 138 0.5× 76 0.3× 338 1.5× 137 1.1× 137 2.6× 47 538

Countries citing papers authored by Seok-Jun Bu

Since Specialization
Citations

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

Fields of papers citing papers by Seok-Jun Bu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok-Jun Bu. 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 Seok-Jun Bu. The network helps show where Seok-Jun Bu may publish in the future.

Co-authorship network of co-authors of Seok-Jun Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Seok-Jun Bu. A scholar is included among the top collaborators of Seok-Jun Bu 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 Seok-Jun Bu. Seok-Jun Bu 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.
Bu, Seok-Jun & Sung‐Bae Cho. (2023). Triplet-trained graph transformer with control flow graph for few-shot malware classification. Information Sciences. 649. 119598–119598. 9 indexed citations
2.
Bu, Seok-Jun & Sung‐Bae Cho. (2023). Malware classification with disentangled representation learning of evolutionary triplet network. Neurocomputing. 552. 126534–126534. 3 indexed citations
3.
Bu, Seok-Jun, et al.. (2023). A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons. Neurocomputing. 530. 60–68. 8 indexed citations
4.
Bu, Seok-Jun, et al.. (2022). Insider attack detection in database with deep metric neural network with Monte Carlo sampling. Logic Journal of IGPL. 30(6). 979–992. 2 indexed citations
5.
Bu, Seok-Jun, et al.. (2022). Ensemble of Deep Convolutional Learning Classifier System Based on Genetic Algorithm for Database Intrusion Detection. Electronics. 11(5). 745–745. 9 indexed citations
6.
Bu, Seok-Jun, et al.. (2022). Optimized URL Feature Selection Based on Genetic-Algorithm-Embedded Deep Learning for Phishing Website Detection. Electronics. 11(7). 1090–1090. 21 indexed citations
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8.
Bu, Seok-Jun & Sung-Bae Cho. (2021). Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection. Electronics. 10(12). 1492–1492. 36 indexed citations
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11.
Bu, Seok-Jun, et al.. (2021). Disentangled Representation Learning of User Queries for Database Insider Attack Detection System. KIISE Transactions on Computing Practices. 27(2). 76–82. 1 indexed citations
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Bu, Seok-Jun & Sung-Bae Cho. (2020). Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption. Energies. 13(18). 4722–4722. 61 indexed citations
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15.
Bu, Seok-Jun, et al.. (2020). 3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance. International Journal of Neural Systems. 30(6). 2050034–2050034. 35 indexed citations
16.
Bu, Seok-Jun & Sung‐Bae Cho. (2019). Classifying In-vehicle Noise from Multi-channel Sound Spectrum by Deep Beamforming Networks. 3545–3552. 5 indexed citations
17.
Bu, Seok-Jun & Sung-Bae Cho. (2019). A convolutional neural-based learning classifier system for detecting database intrusion via insider attack. Information Sciences. 512. 123–136. 59 indexed citations
18.
Bu, Seok-Jun, et al.. (2018). BSR (Buzz, Squeak, Rattle) noise classification based on convolutional neural network with short-time Fourier transform noise-map. The Journal of the Acoustical Society of Korea. 37(4). 256–261. 5 indexed citations
19.
Bu, Seok-Jun & Sung‐Bae Cho. (2018). Speaker Identification Method based on Convolutional Neural Network with STFT Sound-Map. KIISE Transactions on Computing Practices. 24(6). 289–294. 1 indexed citations
20.
Kim, Jin Young, Seok-Jun Bu, & Sung‐Bae Cho. (2018). Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders. Information Sciences. 460-461. 83–102. 176 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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