Hongyu Guo

About

Hongyu Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Hongyu Guo has authored 24 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Hongyu Guo’s work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Hongyu Guo is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Hongyu Guo collaborates with scholars based in Canada, China and United States. Hongyu Guo's co-authors include Herna L. Viktor, Xiaodan Zhu, Richong Zhang, Yongyi Mao, Colin Cherry, Saif M. Mohammad, Svetlana Kiritchenko, Anand Rangarajan, Sarang Joshi and Boxing Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Hongyu Guo i

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Fields of papers citing papers by Hongyu Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongyu Guo

Since Specialization

Citations

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