Sung Jin Cho

1.2k total citations
42 papers, 934 citations indexed

About

Sung Jin Cho is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Spectroscopy. According to data from OpenAlex, Sung Jin Cho has authored 42 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 16 papers in Computer Vision and Pattern Recognition and 8 papers in Spectroscopy. Recurrent topics in Sung Jin Cho's work include Chaos-based Image/Signal Encryption (15 papers), Cellular Automata and Applications (14 papers) and Computational Drug Discovery Methods (13 papers). Sung Jin Cho is often cited by papers focused on Chaos-based Image/Signal Encryption (15 papers), Cellular Automata and Applications (14 papers) and Computational Drug Discovery Methods (13 papers). Sung Jin Cho collaborates with scholars based in South Korea, United States and China. Sung Jin Cho's co-authors include Alexander Tropsha, Mark A. Hermsmeier, Byung Soo Lee, Weifan Zheng, Wei Li, Gue Myung Lee, Yi Li, Xueqing Chen, Do Sang Kim and Sung Won Kang and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences and Fuzzy Sets and Systems.

In The Last Decade

Sung Jin Cho

40 papers receiving 875 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 Jin Cho South Korea 15 572 270 183 138 132 42 934
Gargi Debnath United States 13 211 0.4× 332 1.2× 147 0.8× 98 0.7× 42 0.3× 13 1.0k
Annick Panaye France 18 510 0.9× 337 1.2× 394 2.2× 18 0.1× 361 2.7× 62 1.2k
Jon M. Sutter United States 15 531 0.9× 314 1.2× 176 1.0× 14 0.1× 316 2.4× 18 1.2k
John D. Holliday United Kingdom 22 1.0k 1.8× 685 2.5× 135 0.7× 42 0.3× 364 2.8× 61 1.4k
W. Todd Wipke United States 18 560 1.0× 423 1.6× 368 2.0× 25 0.2× 244 1.8× 41 1.3k
Reinhard Laue Germany 14 264 0.5× 120 0.4× 130 0.7× 13 0.1× 117 0.9× 61 734
Alan H. Lipkus United States 11 219 0.4× 261 1.0× 247 1.3× 31 0.2× 96 0.7× 16 741
Geoffrey M. Downs United Kingdom 12 1.4k 2.4× 981 3.6× 207 1.1× 79 0.6× 398 3.0× 17 1.8k
Stephen J. Barigye Spain 19 636 1.1× 477 1.8× 197 1.1× 7 0.1× 181 1.4× 78 1.1k
Eleanor J. Gardiner United Kingdom 16 446 0.8× 478 1.8× 88 0.5× 30 0.2× 100 0.8× 27 851

Countries citing papers authored by Sung Jin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sung Jin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Jin Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Jin Cho. A scholar is included among the top collaborators of Sung Jin 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 Sung Jin Cho. Sung Jin 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.
Cho, Sung Jin, et al.. (2021). 1-D Symmetric 5-Neighbor MLCA Based Color Image Encryption. 6. 369–374. 1 indexed citations
2.
Cho, Sung Jin, et al.. (2020). Color image encryption based on programmable complemented maximum length cellular automata and generalized 3-D chaotic cat map. Multimedia Tools and Applications. 79(31-32). 22825–22842. 21 indexed citations
3.
Cho, Sung Jin, et al.. (2020). High Speed Color Image Encryption Using Pixel Shuffling With 1-D MLCA. 26. 373–377. 1 indexed citations
4.
Cho, Sung Jin, et al.. (2019). Color Medical Image Encryption using 3D Chaotic Cat Map and NCA. 1–5. 11 indexed citations
5.
Cho, Sung Jin, et al.. (2018). 90/150 CA Corresponding to Polynomial of Maximum Weight.. 13. 347–358. 2 indexed citations
6.
Li, Wei, et al.. (2015). Three-Dimensional Object Encoding Approach Using Computer-Generated Integral Imaging and Random Phase Encoding. Applied Mechanics and Materials. 764-765. 970–974. 1 indexed citations
7.
Li, Wei, et al.. (2014). A 3D image encryption technique using computer-generated integral imaging and cellular automata transform. Optik. 125(13). 2983–2990. 24 indexed citations
8.
Li, Wei, et al.. (2013). Combined use of BP neural network and computational integral imaging reconstruction for optical multiple-image security. Optics Communications. 315. 147–158. 23 indexed citations
9.
Cho, Sung Jin, et al.. (2012). Modified hybrid input-output algorithm for phase retrieval. 1–2. 1 indexed citations
10.
Cho, Sung Jin & Yaxiong Sun. (2008). Visual exploration of structure–activity relationship using maximum common framework. Journal of Computer-Aided Molecular Design. 22(8). 571–578. 8 indexed citations
11.
Cho, Sung Jin, et al.. (2006). ALGORITHM FOR FINDING 90/150 TRIDIAGONAL MATRICES. 1(2). 165–168. 1 indexed citations
12.
Cho, Sung Jin, Yaxiong Sun, & William E. Harte. (2006). ADAAPT: Amgen's data access, analysis, and prediction tools. Journal of Computer-Aided Molecular Design. 20(4). 249–261. 8 indexed citations
13.
Chen, Xueqing, et al.. (2002). Prediction of aqueous solubility of organic compounds using a quantitative structure–property relationship. Journal of Pharmaceutical Sciences. 91(8). 1838–1852. 74 indexed citations
14.
Cho, Sung Jin, Chen Shen, & Mark A. Hermsmeier. (2000). Binary Formal Inference-Based Recursive Modeling Using Multiple Atom and Physicochemical Property Class Pair and Torsion Descriptors as Decision Criteria. Journal of Chemical Information and Computer Sciences. 40(3). 668–680. 13 indexed citations
15.
Park, Jin Han, Yong Beom Park, & Sung Jin Cho. (1998). Fuzzy completely pre-irresolute and weakly completely pre-irresolute mappings. Fuzzy Sets and Systems. 97(1). 115–121.
16.
Cho, Sung Jin, et al.. (1997). OnTL-subsystems ofTL-finite state machines. 4(1). 117–133. 1 indexed citations
17.
Lee, Gue Myung, et al.. (1996). ON VECTOR VARIATIONAL INEQUALITY. Bulletin of the Korean Mathematical Society. 33(4). 553–564. 16 indexed citations
18.
Cho, Sung Jin & Alexander Tropsha. (1995). Cross-Validated R2-Guided Region Selection for Comparative Molecular Field Analysis: A Simple Method To Achieve Consistent Results. Journal of Medicinal Chemistry. 38(7). 1060–1066. 200 indexed citations
19.
Lee, Byung Soo & Sung Jin Cho. (1994). A fixed point theorem for contractive-type fuzzy mappings. Fuzzy Sets and Systems. 61(3). 309–312. 52 indexed citations
20.
Lee, Gue Myung, Do Sang Kim, Byung Soo Lee, & Sung Jin Cho. (1993). Generalized vector variational inequality and fuzzy extension. Applied Mathematics Letters. 6(6). 47–51. 52 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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