Guanjun Wu

1.0k citations
9 papers · 511 · 1 hit paper · h-index 4

Impact in

Papers in

Guanjun Wu

7 papers receiving 494 citations

Guanjun Wu's Hit Papers

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering 2024 · 379 citations
3790+1Years since publication100200300

Peers

Guanjun Wu
Comparison fields: 5 of 46
  • Computer Graphics and Computer-Aided Design 142
  • Computer Vision and Pattern Recognition 251
  • Computational Mechanics 120
  • Geology 24
  • Inorganic Chemistry 51
Replace Zhiwen Fan with:
Zhiwen Fan China
Xuebin Sun China
Xiangyu Kong China
Yazhou Xing China
Sven Simon Germany
Sahar Kazemzadeh United States
Ao Luo China
Guanjun Wu relative to Zhiwen Fan China Zhiwen Fan's profile →
Citations per field
00.5×2×4×6×8×
Zhiwen Fan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Guanjun Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guanjun Wu Line = papers co-authored together Guanjun Wu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Hit paper breakdown →
2024379
2 202461
3 201254
4 20249
5 20234
6 20242
7 20252
8 20250
9 20240

About Guanjun Wu

Guanjun Wu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Catalysis and Inorganic Chemistry, having authored 9 papers that have together received 511 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers), Mesoporous Materials and Catalysis (1 paper), Machine Fault Diagnosis Techniques (1 paper), RNA modifications and cancer (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Zeolite Catalysis and Synthesis (1 paper) and Gear and Bearing Dynamics Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (142 citations), Computer Vision and Pattern Recognition (251 citations), Computational Mechanics (120 citations), Geology (24 citations) and Inorganic Chemistry (51 citations). Guanjun Wu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Wenyu Liu, Xinggang Wang, Jiemin Fang, Taoran Yi, Lingxi Xie, Qi Tian, Wei Wei, Xiaopeng Zhang, Naijia Guan and Landong Li. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, ChemCatChem, Engineering Applications of Artificial Intelligence and The Tohoku Journal of Experimental Medicine.

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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