Min Gyung Kang

About

Min Gyung Kang is a scholar working on Artificial Intelligence, Organic Chemistry and Information Systems. According to data from OpenAlex, Min Gyung Kang has authored 5 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Organic Chemistry and 2 papers in Information Systems. Recurrent topics in Min Gyung Kang’s work include Advanced Malware Detection Techniques (2 papers), Carbohydrate Chemistry and Synthesis (1 paper) and Synthetic Organic Chemistry Methods (1 paper). Min Gyung Kang is often cited by papers focused on Advanced Malware Detection Techniques (2 papers), Carbohydrate Chemistry and Synthesis (1 paper) and Synthetic Organic Chemistry Methods (1 paper). Min Gyung Kang collaborates with scholars based in United States. Min Gyung Kang's co-authors include Dawn Song, Stephen McCamant, Pongsin Poosankam, Jeonghan Park, Steven F. Pedersen, Heng Yin, Steve Hanna, Juan Caballero, Shobha Venkataraman and Andrei W. Konradi and has published in prestigious journals such as The Journal of Organic Chemistry, Synlett and Network and Distributed System Security Symposium.

In The Last Decade

Co-authorship network of co-authors of Min Gyung Kang i

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Fields of papers citing papers by Min Gyung Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Gyung Kang. 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 Min Gyung Kang. The network helps show where Min Gyung Kang may publish in the future.

Countries citing papers authored by Min Gyung Kang

Since Specialization

Citations

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

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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