Sung Y. Shin

529 total citations
61 papers, 376 citations indexed

About

Sung Y. Shin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sung Y. Shin has authored 61 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sung Y. Shin's work include AI in cancer detection (12 papers), Image Retrieval and Classification Techniques (11 papers) and Topic Modeling (7 papers). Sung Y. Shin is often cited by papers focused on AI in cancer detection (12 papers), Image Retrieval and Classification Techniques (11 papers) and Topic Modeling (7 papers). Sung Y. Shin collaborates with scholars based in United States, South Korea and China. Sung Y. Shin's co-authors include Yookun Cho, Seong‐Ho Son, Junyoung Heo, Ching‐Hsien Hsu, Jun Huang, Cong-Cong Xing, Fen Hou, Wei Wang, Jiman Hong and Samaneh Aminikhanghahi and has published in prestigious journals such as Sensors, Applied Sciences and Multimedia Tools and Applications.

In The Last Decade

Sung Y. Shin

58 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung Y. Shin United States 10 154 152 98 77 48 61 376
Adnan Mohsin Abdulazeez Brifcani Iraq 9 338 2.2× 232 1.5× 44 0.4× 86 1.1× 30 0.6× 11 490
Yousef B. Mahdy Egypt 7 115 0.7× 148 1.0× 84 0.9× 70 0.9× 22 0.5× 19 322
C. Nalini India 7 104 0.7× 84 0.6× 60 0.6× 47 0.6× 28 0.6× 39 292
Ali Makki Sagheer Iraq 9 132 0.9× 129 0.8× 73 0.7× 115 1.5× 76 1.6× 63 339
A. Manikandan India 15 156 1.0× 186 1.2× 60 0.6× 103 1.3× 157 3.3× 43 545
Guangli Li China 11 175 1.1× 45 0.3× 56 0.6× 150 1.9× 37 0.8× 52 325
M. Baskar India 11 77 0.5× 137 0.9× 63 0.6× 60 0.8× 82 1.7× 40 321
M. A. Rizvi India 10 95 0.6× 97 0.6× 51 0.5× 69 0.9× 47 1.0× 41 333
Xiangyu Zou China 9 153 1.0× 177 1.2× 125 1.3× 57 0.7× 48 1.0× 48 366

Countries citing papers authored by Sung Y. Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sung Y. Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung Y. Shin. 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 Sung Y. Shin. The network helps show where Sung Y. Shin may publish in the future.

Co-authorship network of co-authors of Sung Y. Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Y. Shin. A scholar is included among the top collaborators of Sung Y. Shin 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 Sung Y. Shin. Sung Y. Shin 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.
Choi, Hyung‐Do, et al.. (2023). FulltextAttention. 1–6.
2.
Park, Juw Won, et al.. (2023). An Efficient Profiling Tool for Baseboard Management Controllers. 1318–1324.
3.
Choi, Hyung‐Do, et al.. (2022). Design and implementation of information extraction system for scientific literature using fine-tuned deep learning models. ACM SIGAPP Applied Computing Review. 22(1). 31–38. 8 indexed citations
4.
Choi, Hyung‐Do, et al.. (2022). Deep learning models for multiple answers extraction and classification of scientific publications. 185–190. 2 indexed citations
5.
Shin, Sung Y., et al.. (2021). EBR-RL. 1915–1920. 3 indexed citations
6.
Taheri, Mohammad, et al.. (2017). Vessel Segmentation Model using Automated Threshold Algorithm from Lower Leg MRI. 120–125. 5 indexed citations
7.
8.
9.
Shin, Sung Y., et al.. (2013). SVM-based Harris corner detection for breast mammogram image normal/abnormal classification. 187–191. 7 indexed citations
10.
Shin, Sung Y., et al.. (2013). An efficient similarity comparison based on core API calls. 1634–1638. 5 indexed citations
11.
Cho, Yookun, et al.. (2012). Design of a Lightweight TCP/IP Protocol Stack with an Event-Driven Scheduler *. Journal of information science and engineering. 28. 1059–1071. 3 indexed citations
12.
Li, Zhe, et al.. (2012). A new histogram-based breast cancer image classifier using Gaussian mixture model. 143–147. 4 indexed citations
13.
14.
Yi, Sangho, et al.. (2010). An Efficient Secure Deletion Scheme for Flash File Systems. Journal of information science and engineering. 26(1). 27–38. 32 indexed citations
15.
Shin, Sung Y.. (2010). Reliable and Autonomous Computational Science. DIAL (Catholic University of Leuven). 6 indexed citations
16.
Shin, Sung Y. & Sascha Ossowskí. (2009). Proceedings of the 2009 ACM symposium on Applied Computing. 1 indexed citations
17.
Cho, Yookun, et al.. (2007). Proceedings of the 2007 ACM symposium on Applied computing. 15 indexed citations
18.
Choi, Jongmoo, Seungjae Baek, & Sung Y. Shin. (2006). Design and implementation of a kernel resource protector for robustness of Linux module programming. 1477–1481. 3 indexed citations
19.
Shin, Sung Y., et al.. (2003). A Priority Assignment Method for Earliest Deadline Scheduling.. Computers and Their Applications. 316–320. 2 indexed citations
20.
Shin, Sung Y., et al.. (1991). Evaluation of combined approaches to distributed software-based fault tolerance. 23. 70–75. 7 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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