Shuangzhi Wu

22 papers and 235 indexed citations i.

About

Shuangzhi Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Shuangzhi Wu has authored 22 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Shuangzhi Wu’s work include Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (7 papers). Shuangzhi Wu is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (7 papers). Shuangzhi Wu collaborates with scholars based in China, United Kingdom and United States. Shuangzhi Wu's co-authors include Ming Zhou, Dongdong Zhang, Nan Yang, Mu Li, Zhoujun Li, Mu Li, Zhirui Zhang, Mu Li, Jian Yang and Shuming Ma and has published in prestigious journals such as Information Fusion, Neural Computing and Applications and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

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

Fields of papers citing papers by Shuangzhi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuangzhi Wu

Since Specialization
Citations

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