Shu Hu

155 total papers · 1.3k total citations
59 papers, 594 citations indexed

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 59 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Shu Hu's work include Generative Adversarial Networks and Image Synthesis (13 papers), Digital Media Forensic Detection (9 papers) and Advanced Neural Network Applications (7 papers). Shu Hu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (13 papers), Digital Media Forensic Detection (9 papers) and Advanced Neural Network Applications (7 papers). Shu Hu collaborates with scholars based in United States, China and Taiwan. Shu Hu's co-authors include Siwei Lyu, Lie Wang, Guoyuan Sui, Ming‐Ching Chang, Xin Wang, Guo Hui, Li Liu, Lei Ma, Lin Liu and Thuc Duy Le 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

Shu Hu

53 papers receiving 576 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shu Hu 227 155 60 45 44 59 594
Yiqing Wang 268 1.2× 48 0.3× 28 0.5× 17 0.4× 17 0.4× 42 560
Ying Luo 112 0.5× 187 1.2× 23 0.4× 70 1.6× 53 1.2× 58 685
Yixuan Zhang 168 0.7× 244 1.6× 19 0.3× 22 0.5× 126 2.9× 61 684
Namita Srivastava 66 0.3× 213 1.4× 76 1.3× 19 0.4× 19 0.4× 55 694
Junghoon Chae 253 1.1× 117 0.8× 23 0.4× 11 0.2× 86 2.0× 26 602
John Levine 76 0.3× 428 2.8× 17 0.3× 65 1.4× 124 2.8× 60 698
Hussam N. Fakhouri 43 0.2× 179 1.2× 22 0.4× 84 1.9× 31 0.7× 58 557
Longtao He 47 0.2× 384 2.5× 44 0.7× 57 1.3× 98 2.2× 53 641
Xiaoyun Wang 209 0.9× 374 2.4× 7 0.1× 16 0.4× 13 0.3× 79 645
Brojo Kishore Mishra 121 0.5× 214 1.4× 9 0.1× 20 0.4× 26 0.6× 77 597

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).

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.

Co-authorship network of co-authors of Shu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Hu. A scholar is included among the top collaborators of Shu Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shu Hu. Shu Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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