Wei Bi

25 papers and 553 indexed citations i.

About

Wei Bi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wei Bi has authored 25 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Wei Bi’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (7 papers). Wei Bi is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (8 papers) and Speech and dialogue systems (7 papers). Wei Bi collaborates with scholars based in China, Hong Kong and United States. Wei Bi's co-authors include James T. Kwok, Shuming Shi, Xiaojiang Liu, Mu Li, Bao‐Liang Lu, Fang Liu, Jinjun Tang, Jun Gao, Zhuowen Tu and Wenhui Zhang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

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

Fields of papers citing papers by Wei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wei Bi

Since Specialization
Citations

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