Guanhua Tian

About

Guanhua Tian is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Guanhua Tian has authored 5 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Guanhua Tian’s work include Topic Modeling (3 papers), Text and Document Classification Technologies (2 papers) and Advanced Text Analysis Techniques (2 papers). Guanhua Tian is often cited by papers focused on Topic Modeling (3 papers), Text and Document Classification Technologies (2 papers) and Advanced Text Analysis Techniques (2 papers). Guanhua Tian collaborates with scholars based in China. Guanhua Tian's co-authors include Jiaming Xu, Bo Xu, Hongwei Hao, Cheng‐Lin Liu, Peng Wang, Bo Xu, Suncong Zheng, Jun Zhao, Peng Wang and Jianfeng Zhan and has published in prestigious journals such as Neurocomputing, Neural Networks and Chinese Journal of Computers.

In The Last Decade

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

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Fields of papers citing papers by Guanhua Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guanhua Tian

Since Specialization

Citations

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