Ruixiang Tang

24 papers and 285 indexed citations i.

About

Ruixiang Tang is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruixiang Tang has authored 24 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Biomedical Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruixiang Tang’s work include Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Natural Language Processing Techniques (3 papers). Ruixiang Tang is often cited by papers focused on Topic Modeling (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Natural Language Processing Techniques (3 papers). Ruixiang Tang collaborates with scholars based in United States, China and Hong Kong. Ruixiang Tang's co-authors include Xia Hu, Mengnan Du, Ninghao Liu, Fan Yang, Hongye Jin, Bing Yin, Qizhang Feng, Shaochen Zhong, Jingfeng Yang and Xiaotian Han and has published in prestigious journals such as Communications of the ACM, Chemical Engineering Science and Sensors.

In The Last Decade

Co-authorship network of co-authors of Ruixiang Tang i

Fields of papers citing papers by Ruixiang Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruixiang Tang

Since Specialization
Citations

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