Gongbo Tang

10 papers and 239 indexed citations i.

About

Gongbo Tang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Gongbo Tang has authored 10 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Gongbo Tang’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Gongbo Tang is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Gongbo Tang collaborates with scholars based in Sweden, United Kingdom and Switzerland. Gongbo Tang's co-authors include Rico Sennrich, Annette Rios, Joakim Nivre, Eva Pettersson, Yves Scherrer, Jörg Tiedemann, Robert Östling, Yue Tian, Chunhua Liu and Dong Yu and has published in prestigious journals such as IEEE Access, Transactions of the Association for Computational Linguistics and Zurich Open Repository and Archive (University of Zurich).

In The Last Decade

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

Fields of papers citing papers by Gongbo Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gongbo Tang

Since Specialization
Citations

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