Min Jin

38 papers and 612 indexed citations i.

About

Min Jin is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Min Jin has authored 38 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Molecular Biology and 8 papers in Artificial Intelligence. Recurrent topics in Min Jin’s work include Energy Load and Power Forecasting (9 papers), Bioinformatics and Genomic Networks (6 papers) and Grey System Theory Applications (6 papers). Min Jin is often cited by papers focused on Energy Load and Power Forecasting (9 papers), Bioinformatics and Genomic Networks (6 papers) and Grey System Theory Applications (6 papers). Min Jin collaborates with scholars based in China, United States and United Kingdom. Min Jin's co-authors include Pan Zeng, Jiangang Yao, Shengjie Yang, Kang Tong, Thanh Long Duong, Yajie Meng, Manos M. Tentzeris, Xiangxiang Zeng, Changcheng Lu and Jialiang Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Colloid and Interface Science and IEEE Transactions on Industrial Electronics.

In The Last Decade

Co-authorship network of co-authors of Min Jin i

Fields of papers citing papers by Min Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Min Jin

Since Specialization
Citations

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