Haixun Wang

116 papers and 2.6k indexed citations i.

About

Haixun Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Haixun Wang has authored 116 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Artificial Intelligence, 49 papers in Signal Processing and 39 papers in Computer Networks and Communications. Recurrent topics in Haixun Wang’s work include Data Management and Algorithms (48 papers), Advanced Database Systems and Queries (28 papers) and Topic Modeling (27 papers). Haixun Wang is often cited by papers focused on Data Management and Algorithms (48 papers), Advanced Database Systems and Queries (28 papers) and Topic Modeling (27 papers). Haixun Wang collaborates with scholars based in United States, China and Australia. Haixun Wang's co-authors include Charų C. Aggarwal, Zhongyuan Wang, Bin Shao, Philip S. Yu, Yangqiu Song, Ye Yuan, Guoren Wang, Lei Chen, Erik Cambria and Hongzhi Wang and has published in prestigious journals such as Sustainability, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Mobile Computing.

In The Last Decade

Co-authorship network of co-authors of Haixun Wang i

Fields of papers citing papers by Haixun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haixun Wang

Since Specialization
Citations

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