Shu Hu

41 papers and 438 indexed citations i.

About

Shu Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Shu Hu has authored 41 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Shu Hu’s work include Generative Adversarial Networks and Image Synthesis (11 papers), Advanced Neural Network Applications (8 papers) and Digital Media Forensic Detection (8 papers). Shu Hu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (11 papers), Advanced Neural Network Applications (8 papers) and Digital Media Forensic Detection (8 papers). Shu Hu collaborates with scholars based in United States, China and Taiwan. Shu Hu's co-authors include Siwei Lyu, Yuezun Li, Guoyuan Sui, Lie Wang, Lei Ma, Li Liu, Ming-Ching Chang, Guo Hui, Xin Wang and Lin Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Shu Hu i

Fields of papers citing papers by Shu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shu Hu

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025