Wu-Jun Li

About

Wu-Jun Li is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Wu-Jun Li has authored 8 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Wu-Jun Li’s work include Topic Modeling (3 papers), Recommender Systems and Techniques (2 papers) and Text and Document Classification Technologies (2 papers). Wu-Jun Li is often cited by papers focused on Topic Modeling (3 papers), Recommender Systems and Techniques (2 papers) and Text and Document Classification Technologies (2 papers). Wu-Jun Li collaborates with scholars based in China and Hong Kong. Wu-Jun Li's co-authors include Minyi Guo, Dit‐Yan Yeung, Binyi Chen, Cheng‐Lin Liu, Xinwen Hou, Guoqiang Zhong, Wenjia Shi, Yao‐Ting Wang, Ruihong Zhang and Boyang Li and has published in prestigious journals such as Optics & Laser Technology, Computers & Security and International Joint Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Wu-Jun Li i

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Fields of papers citing papers by Wu-Jun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wu-Jun Li

Since Specialization

Citations

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