Moonshik Shin

473 total citations
8 papers, 75 citations indexed

About

Moonshik Shin is a scholar working on Computational Theory and Mathematics, Molecular Biology and Marketing. According to data from OpenAlex, Moonshik Shin has authored 8 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 2 papers in Molecular Biology and 2 papers in Marketing. Recurrent topics in Moonshik Shin's work include Computational Drug Discovery Methods (3 papers), Technology Adoption and User Behaviour (2 papers) and Cryptography and Data Security (2 papers). Moonshik Shin is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Technology Adoption and User Behaviour (2 papers) and Cryptography and Data Security (2 papers). Moonshik Shin collaborates with scholars based in South Korea. Moonshik Shin's co-authors include Doheon Lee, Hojung Nam, Sunyong Yoo, Junseok Park and Kwang H. Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Moonshik Shin

8 papers receiving 72 citations

Peers

Moonshik Shin
Simon Bray Germany
Ian Dix United Kingdom
Mitch Rosen United States
Pavel Mozgunov United Kingdom
Dylan Fong United States
Moonshik Shin
Citations per year, relative to Moonshik Shin Moonshik Shin (= 1×) peers Branislava Gemović

Countries citing papers authored by Moonshik Shin

Since Specialization
Citations

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

Fields of papers citing papers by Moonshik Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moonshik Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Moonshik Shin. A scholar is included among the top collaborators of Moonshik 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 Moonshik Shin. Moonshik Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Yoo, Sunyong, et al.. (2018). In silico profiling of systemic effects of drugs to predict unexpected interactions. Scientific Reports. 8(1). 1612–1612. 14 indexed citations
2.
Yoo, Sunyong, et al.. (2018). A Data-Driven Approach for Identifying Medicinal Combinations of Natural Products. IEEE Access. 6. 58106–58118. 12 indexed citations
3.
Shin, Moonshik, et al.. (2016). Predicting the Absorption Potential of Chemical Compounds Through a Deep Learning Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(2). 432–440. 31 indexed citations
4.
Shin, Moonshik, et al.. (2014). A Study of Selection Attribute and Satisfaction for Spectating Online Shopping Mall. Journal of Distribution and Management Research. 17(4). 125–134. 3 indexed citations
5.
Shin, Moonshik, et al.. (2014). The Effect on Satisfaction with Mediation of Trust Caused by Hypermarkets’ Online Image. Journal of Distribution Science. 12(10). 67–74. 1 indexed citations
6.
Yoo, Sunyong, Moonshik Shin, & Doheon Lee. (2012). An Approach to Reducing Information Loss and Achieving Diversity of Sensitive Attributes in k-anonymity Methods. SHILAP Revista de lepidopterología. 1(2). e14–e14. 6 indexed citations
7.
Shin, Moonshik, Sunyong Yoo, Kwang H. Lee, & Doheon Lee. (2012). Electronic Medical Records privacy preservation through k-anonymity clustering method. 1119–1124. 6 indexed citations
8.
Shin, Moonshik, et al.. (2012). The effect of perceived risk, service quality and individual tendency on trust, satisfaction & continuous use intention. 27(1). 1–23. 2 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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