Gang Tian

14 papers and 461 indexed citations i.

About

Gang Tian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Gang Tian has authored 14 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Gang Tian’s work include Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Text and Document Classification Technologies (2 papers). Gang Tian is often cited by papers focused on Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Text and Document Classification Technologies (2 papers). Gang Tian collaborates with scholars based in China, Australia and United States. Gang Tian's co-authors include Wen Zhang, Feng Liu, Yanlin Chen, Xiaohong Li, Fei Luo, Hua Wang, Min Peng, Yanchun Zhang, Qianqian Xie and Longqiang Luo and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Gang Tian i

Fields of papers citing papers by Gang Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Tian

Since Specialization
Citations

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