Hui Bi

13 papers and 359 indexed citations i.

About

Hui Bi is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hui Bi has authored 13 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hui Bi’s work include RNA modifications and cancer (3 papers), AI in cancer detection (3 papers) and Cancer-related molecular mechanisms research (2 papers). Hui Bi is often cited by papers focused on RNA modifications and cancer (3 papers), AI in cancer detection (3 papers) and Cancer-related molecular mechanisms research (2 papers). Hui Bi collaborates with scholars based in China, United States and United Kingdom. Hui Bi's co-authors include Ji Zhou, Li Yu, Ling‐Ling Li, Xin Yao, Xin Yao, Peter J. Barnes, Dandan Wu, Chunhua Xu, Cunjie Chang and Wei Gao and has published in prestigious journals such as The International Journal of Biochemistry & Cell Biology, Knowledge-Based Systems and Frontiers in Oncology.

In The Last Decade

Co-authorship network of co-authors of Hui Bi i

Fields of papers citing papers by Hui Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hui Bi

Since Specialization
Citations

This map shows the geographic impact of Hui Bi'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 Hui Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Bi 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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2025