Kai Gao

32 papers and 296 indexed citations i.

About

Kai Gao is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kai Gao has authored 32 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Kai Gao’s work include Sentiment Analysis and Opinion Mining (11 papers), Web Data Mining and Analysis (10 papers) and Topic Modeling (8 papers). Kai Gao is often cited by papers focused on Sentiment Analysis and Opinion Mining (11 papers), Web Data Mining and Analysis (10 papers) and Topic Modeling (8 papers). Kai Gao collaborates with scholars based in China. Kai Gao's co-authors include Hua Xu, Kai-Cheng Yang, Yuxiang Xie, Ziqi Yuan, Yihe Liu, Morihiko Nakamura, Songze Li, Jing Qiu, Yongcheng Wang and Shen Gao and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Intermetallics.

In The Last Decade

Co-authorship network of co-authors of Kai Gao i

Fields of papers citing papers by Kai Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Gao

Since Specialization
Citations

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