Bing Liu

154 papers and 19.1k indexed citations i.

About

Bing Liu is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Bing Liu has authored 154 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Artificial Intelligence, 57 papers in Information Systems and 13 papers in Signal Processing. Recurrent topics in Bing Liu’s work include Sentiment Analysis and Opinion Mining (55 papers), Topic Modeling (48 papers) and Advanced Text Analysis Techniques (45 papers). Bing Liu is often cited by papers focused on Sentiment Analysis and Opinion Mining (55 papers), Topic Modeling (48 papers) and Advanced Text Analysis Techniques (45 papers). Bing Liu collaborates with scholars based in United States, China and Singapore. Bing Liu's co-authors include Minqing Hu, Philip S. Yu, Arjun Mukherjee, Wynne Hsu, Yiming Ma, Nitin Jindal, Lei Zhang, Shuai Wang, Yan Yang and Xiaowen Ding and has published in prestigious journals such as International Journal of Molecular Sciences, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Bing Liu i

Fields of papers citing papers by Bing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bing Liu

Since Specialization
Citations

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