Wu Jun

20 papers and 196 indexed citations i.

About

Wu Jun is a scholar working on Control and Systems Engineering, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Wu Jun has authored 20 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 2 papers in Sociology and Political Science. Recurrent topics in Wu Jun’s work include Machine Fault Diagnosis Techniques (6 papers), Topic Modeling (3 papers) and Neural Networks and Applications (2 papers). Wu Jun is often cited by papers focused on Machine Fault Diagnosis Techniques (6 papers), Topic Modeling (3 papers) and Neural Networks and Applications (2 papers). Wu Jun collaborates with scholars based in China, United States and United Kingdom. Wu Jun's co-authors include Sanjeev Khudanpur, Eric Brill, Liping Wang, Cynthia M. Clark, Liping Wang, Hongjun Zhao, Decheng Wang, Jian Wu, Zhengwen Xu and Qiang Li and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Measurement Science and Technology and Applied Sciences.

In The Last Decade

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

Fields of papers citing papers by Wu Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wu Jun

Since Specialization
Citations

This map shows the geographic impact of Wu Jun'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 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 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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