Guanjun Wu

791 citations
8 papers · 326 · 1 hit paper · h-index 4

Impact in

Papers in

Guanjun Wu

6 papers receiving 317 citations

Guanjun Wu's Hit Papers

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering 2024 · 220 citations
2200+1Years since publication50100150200

Peers

Guanjun Wu
Comparison fields: 5 of 45
  • Computer Graphics and Computer-Aided Design 83
  • Computer Vision and Pattern Recognition 161
  • Geology 20
  • Inorganic Chemistry 48
  • Computational Mechanics 70
Replace Shaohui Li with:
Shaohui Li China
Yan Ke China
Emily J. Evans United States
Ramón F. Sárraga United States
Edesio Alcobaça Brazil
Jianyuan Wang China
Colin McManus United Kingdom
Jianbin Wu China
Guanjun Wu relative to Shaohui Li China Shaohui Li's profile →
Citations per field
00.5×10×13.8×
Shaohui Li · 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 22 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

8 of 8 papers shown
#Work
1
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Hit paper breakdown →
2024220
2 201251
3 202444
4 20247
5 20233
6 20241
7 20250
8 20250

About Guanjun Wu

Guanjun Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Control and Systems Engineering and Computational Mechanics, having authored 8 papers that have together received 326 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Advanced Vision and Imaging (4 papers), Structural Integrity and Reliability Analysis (1 paper), Video Coding and Compression Technologies (1 paper), Zeolite Catalysis and Synthesis (1 paper), Image Enhancement Techniques (1 paper), Machine Fault Diagnosis Techniques (1 paper) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (83 citations), Computer Vision and Pattern Recognition (161 citations), Geology (20 citations), Inorganic Chemistry (48 citations) and Computational Mechanics (70 citations). Guanjun Wu has collaborated with scholars based in China, Germany and India. Frequent co-authors include Xinggang Wang, Jiemin Fang, Wenyu Liu, Taoran Yi, Lingxi Xie, Qi Tian, Wei Wei, Xiaopeng Zhang, Landong Li and Xin Wang. Their work appears in journals such as ChemCatChem, IEEE Journal of Biomedical and Health Informatics and Engineering Applications of Artificial Intelligence.

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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