Jun Ni

24 papers and 398 indexed citations i.

About

Jun Ni is a scholar working on Molecular Biology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jun Ni has authored 24 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Jun Ni’s work include Gene expression and cancer classification (5 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Jun Ni is often cited by papers focused on Gene expression and cancer classification (5 papers), Advanced X-ray and CT Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). Jun Ni collaborates with scholars based in United States, China and Japan. Jun Ni's co-authors include Hualong Yu, Jing Zhao, Ge Wang, Chun-Hsi Huang, Bin Qin, Hang Chen, Xibei Yang, Shaoping Xiao, Guoqing Lu and Fei Gu and has published in prestigious journals such as BMC Bioinformatics, BioMed Research International and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Jun Ni i

Fields of papers citing papers by Jun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Ni

Since Specialization
Citations

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