Zhong Jin

About

Zhong Jin is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Zhong Jin has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Spectroscopy, 3 papers in Computational Theory and Mathematics and 2 papers in Molecular Biology. Recurrent topics in Zhong Jin’s work include Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (2 papers) and Bioinformatics and Genomic Networks (2 papers). Zhong Jin is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (2 papers) and Bioinformatics and Genomic Networks (2 papers). Zhong Jin collaborates with scholars based in China, United Kingdom and United States. Zhong Jin's co-authors include Fuchu He, Guoqing Zhang, Yunping Zhu, Chunyuan Yang, Jie Ma, Kenli Li, Tao Chen, Henning Hermjakob, Kunxian Shu and Mingze Bai and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Journal of Computational Chemistry.

In The Last Decade

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

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Fields of papers citing papers by Zhong Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhong Jin

Since Specialization

Citations

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