Hongguang Fu

20 papers and 263 indexed citations i.

About

Hongguang Fu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hongguang Fu has authored 20 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Hongguang Fu’s work include Matrix Theory and Algorithms (3 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Hongguang Fu is often cited by papers focused on Matrix Theory and Algorithms (3 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). Hongguang Fu collaborates with scholars based in China, United States and Spain. Hongguang Fu's co-authors include Xiuqin Zhong, Hailin Zhang, Lei Huang, Yanbing Liang, Zhong Liu, Wei Zhou, Junlin Li, Zenglin Xu, Lei Huang and Jun Zou and has published in prestigious journals such as Scientific Reports, Pattern Recognition and The International Journal of Robotics Research.

In The Last Decade

Co-authorship network of co-authors of Hongguang Fu i

Fields of papers citing papers by Hongguang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hongguang Fu

Since Specialization
Citations

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