Tianyi Tang

18 papers and 111 indexed citations i.

About

Tianyi Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Tianyi Tang has authored 18 papers receiving a total of 111 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Materials Chemistry. Recurrent topics in Tianyi Tang’s work include Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (6 papers). Tianyi Tang is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers) and Multimodal Machine Learning Applications (6 papers). Tianyi Tang collaborates with scholars based in China, Canada and United Kingdom. Tianyi Tang's co-authors include Wayne Xin Zhao, Ji-Rong Wen, Junyi Li, Jian‐Yun Nie, Nicholas Jing Yuan, Zhicheng Wei, Furu Wei, Haoyang Huang, Yan Xia and Xin Zhao and has published in prestigious journals such as Advanced Materials, ACS Applied Materials & Interfaces and Chemical Science.

In The Last Decade

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

Fields of papers citing papers by Tianyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianyi Tang

Since Specialization
Citations

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