Guanjun Wu

19 total papers · 636 total citations
8 papers, 250 citations indexed

About

Guanjun Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Guanjun Wu has authored 8 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Graphics and Computer-Aided Design and 2 papers in Signal Processing. Recurrent topics in Guanjun Wu's work include Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Privacy-Preserving Technologies in Data (1 paper). Guanjun Wu is often cited by papers focused on Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers) and Privacy-Preserving Technologies in Data (1 paper). Guanjun Wu collaborates with scholars based in China, Germany and India. Guanjun Wu's co-authors include Jiemin Fang, Wenyu Liu, Taoran Yi, Xinggang Wang, Qi Tian, Lingxi Xie, Wei Wei, Xiaopeng Zhang, Xin Wang and Michael Hunger and has published in prestigious journals such as Engineering Applications of Artificial Intelligence, ChemCatChem and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Guanjun Wu

6 papers receiving 243 citations

Hit Papers

4D Gaussian Splatting for... 2024 2026 2024 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Guanjun Wu 134 69 57 48 28 8 250
Congyue Deng 137 1.0× 72 1.0× 104 1.8× 14 0.5× 10 274
Xin Wei 145 1.1× 37 0.5× 148 2.6× 6 0.2× 8 292
Vincent Leroy 55 0.4× 5 0.1× 12 0.2× 5 0.1× 41 1.5× 13 152
Haeyoung Lee 53 0.4× 82 1.2× 141 2.5× 9 0.3× 7 268
Rui Zhu 194 1.4× 52 0.8× 40 0.7× 3 0.1× 8 223
Nick England 109 0.8× 111 1.6× 33 0.6× 14 0.5× 12 175
Mukta Prasad 200 1.5× 24 0.3× 29 0.5× 59 2.1× 16 315
Wen Wang 99 0.7× 9 0.1× 13 0.2× 2 0.0× 4 0.1× 9 296
Linqi Zhou 159 1.2× 122 1.8× 150 2.6× 3 0.1× 8 303
Chiyu Max Jiang 99 0.7× 48 0.7× 53 0.9× 2 0.1× 5 178

Countries citing papers authored by Guanjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guanjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanjun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guanjun Wu. A scholar is included among the top collaborators of Guanjun Wu 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 Guanjun Wu. Guanjun Wu 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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