Jin Sima

21 papers and 253 indexed citations i.

About

Jin Sima is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jin Sima has authored 21 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Jin Sima’s work include DNA and Biological Computing (17 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Algorithms and Data Compression (10 papers). Jin Sima is often cited by papers focused on DNA and Biological Computing (17 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Algorithms and Data Compression (10 papers). Jin Sima collaborates with scholars based in United States, China and Singapore. Jin Sima's co-authors include Jehoshua Bruck, Netanel Raviv, Ryan Gabrys, Farzad Farnoud, Wei Chen, Olgica Milenković, Ilan Shomorony and Chao Pan and has published in prestigious journals such as IEEE Transactions on Information Theory and 2022 IEEE International Symposium on Information Theory (ISIT).

In The Last Decade

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

Fields of papers citing papers by Jin Sima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Sima

Since Specialization
Citations

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