Sungzoon Cho

723 total citations
20 papers, 483 citations indexed

About

Sungzoon Cho is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sungzoon Cho has authored 20 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Sungzoon Cho's work include User Authentication and Security Systems (5 papers), Biometric Identification and Security (3 papers) and Text and Document Classification Technologies (3 papers). Sungzoon Cho is often cited by papers focused on User Authentication and Security Systems (5 papers), Biometric Identification and Security (3 papers) and Text and Document Classification Technologies (3 papers). Sungzoon Cho collaborates with scholars based in South Korea, United States and United Kingdom. Sungzoon Cho's co-authors include Hyun‐Joong Kim, Sunghoon Park, Pilsung Kang, Hyoungjoo Lee, James A. Reggia, Hyunjoong Kim, Seoung Bum Kim, Seokho Kang, Hyunjung Shin and Misuk Kim and has published in prestigious journals such as IEEE Access, Energy and Buildings and Neurocomputing.

In The Last Decade

Sungzoon Cho

18 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
Sungzoon Cho South Korea 11 257 185 164 91 58 20 483
David Umphress United States 10 389 1.5× 182 1.0× 148 0.9× 59 0.6× 75 1.3× 44 565
Shingo Takada Japan 10 283 1.1× 84 0.5× 130 0.8× 55 0.6× 32 0.6× 57 481
Sarajane Marques Peres Brazil 12 85 0.3× 51 0.3× 188 1.1× 103 1.1× 108 1.9× 91 492
Maunendra Sankar Desarkar India 12 236 0.9× 64 0.3× 313 1.9× 35 0.4× 59 1.0× 53 534
Masahiro Hamasaki Japan 13 243 0.9× 93 0.5× 269 1.6× 42 0.5× 154 2.7× 53 625
David Wolber United States 13 251 1.0× 144 0.8× 200 1.2× 63 0.7× 47 0.8× 25 780
Tanmay Bhowmik United States 12 246 1.0× 66 0.4× 144 0.9× 26 0.3× 73 1.3× 61 434
Jeffrey Stylos United States 15 599 2.3× 98 0.5× 263 1.6× 116 1.3× 28 0.5× 21 745
Maulahikmah Galinium Indonesia 8 122 0.5× 32 0.2× 141 0.9× 16 0.2× 58 1.0× 46 296
Dani Gunawan Indonesia 11 176 0.7× 33 0.2× 261 1.6× 14 0.2× 53 0.9× 65 439

Countries citing papers authored by Sungzoon Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sungzoon Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungzoon Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sungzoon Cho. A scholar is included among the top collaborators of Sungzoon Cho 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 Sungzoon Cho. Sungzoon Cho 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.
2.
Cho, Sungzoon, et al.. (2024). Forecasting building operation dynamics using a Physics-Informed Spatio-Temporal Graph Neural Network (PISTGNN) ensemble. Energy and Buildings. 328. 115085–115085. 3 indexed citations
3.
Park, Jihye, et al.. (2024). Automatic construction of direction-aware sentiment lexicon using direction-dependent words. Language Resources and Evaluation. 59(2). 843–869. 1 indexed citations
4.
Kim, Misuk, et al.. (2019). Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application. Computers & Industrial Engineering. 130. 272–281. 9 indexed citations
5.
Cho, Sungzoon, et al.. (2019). Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels. IEEE Access. 7. 29051–29064. 14 indexed citations
6.
Kim, Hyun‐Joong, et al.. (2017). Bag-of-concepts: Comprehending document representation through clustering words in distributed representation. Neurocomputing. 266. 336–352. 120 indexed citations
7.
Cho, Sungzoon, et al.. (2017). Smartphone user segmentation based on app usage sequence with neural networks. Telematics and Informatics. 35(2). 329–339. 18 indexed citations
8.
Kim, Seoung Bum, et al.. (2015). Review and Analysis of Recommender Systems. Journal of Korean Institute of Industrial Engineers. 41(2). 185–208. 17 indexed citations
9.
Kang, Seokho, et al.. (2013). Organizational Tenure Diversity as Predictors of Combat Performance in ROK Army. Military Psychology. 25(4). 345–353. 6 indexed citations
10.
11.
Lee, Hyoungjoo, et al.. (2009). Account-Sharing Detection Through Keystroke Dynamics Analysis. International Journal of Electronic Commerce. 14(2). 109–126. 8 indexed citations
12.
Kang, Pilsung, et al.. (2008). Improvement of keystroke data quality through artificial rhythms and cues. Computers & Security. 27(1-2). 3–11. 20 indexed citations
13.
Cho, Sungzoon, et al.. (2008). Keystroke dynamics-based authentication for mobile devices. Computers & Security. 28(1-2). 85–93. 78 indexed citations
14.
Cho, Sungzoon, et al.. (2004). Keystroke dynamics identity verification—its problems and practical solutions. Computers & Security. 23(5). 428–440. 91 indexed citations
15.
Shin, Hyunjung & Sungzoon Cho. (2004). How many neighbors to consider in pattern pre-selection for support vector classifiers?. 1. 565–570. 4 indexed citations
16.
Cho, Sungzoon, et al.. (2003). Bankruptcy prediction for credit risk using an auto-associative neural network in Korean firms. 24. 25–29. 25 indexed citations
17.
Lee, Jae Wook & Sungzoon Cho. (2002). Learning the correlation of beam position monitors for Pohang synchrotron light source using neural networks. Proceedings of International Conference on Neural Networks (ICNN'97). 4. 2445–2448.
18.
Cho, Sungzoon, et al.. (1997). Reliable roll force prediction in cold mill using multiple neural networks. IEEE Transactions on Neural Networks. 8(4). 874–882. 38 indexed citations
19.
Whitney, Carol, James A. Reggia, & Sungzoon Cho. (1997). Does Rotation of Neuronal Population Vectors Equal Mental Rotation?. Connection Science. 9(3). 253–268. 1 indexed citations
20.
Cho, Sungzoon & James A. Reggia. (1994). MAP FORMATION IN PROPRIOCEPTIVE CORTEX. International Journal of Neural Systems. 5(2). 87–101. 13 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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