Zirui Wang

2.7k total citations · 1 hit paper
40 papers, 550 citations indexed

About

Zirui Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zirui Wang has authored 40 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Zirui Wang's work include Advanced Vision and Imaging (6 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image Fusion Techniques (3 papers). Zirui Wang is often cited by papers focused on Advanced Vision and Imaging (6 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Image Fusion Techniques (3 papers). Zirui Wang collaborates with scholars based in China, United States and United Kingdom. Zirui Wang's co-authors include Kejie Li, Jia-Wang Bian, Victor Adrian Prisacariu, Yulia Tsvetkov, Zachary C. Lipton, Min Chen, Shuda Li, Shuai Chen, Alessio Carosi and Stefano Basagni and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

Zirui Wang

35 papers receiving 529 citations

Hit Papers

NoPe-NeRF: Optimising Neural Radiance Field with No Pose ... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Zirui Wang
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 286
  • Artificial Intelligence 131
  • Aerospace Engineering 89
  • Computer Networks and Communications 59
  • Computational Mechanics 48
Replace Mark A. Ruzon with:
Mark A. Ruzon United States
Arsenii Ashukha Russia
Fan Chen China
Shuyang Gu China
Haoji Hu China
Muzammal Naseer United Arab Emirates
Bart Goossens Belgium
Yongcheng Jing China
Tinghuai Wang Finland
Mark A. Ruzon United States View profile →
Citations per field, relative to Zirui Wang
Zirui Wang · 1×
Citations per year, relative to Zirui Wang
Zirui Wang · 1×

Countries citing papers authored by Zirui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zirui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zirui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zirui Wang. A scholar is included among the top collaborators of Zirui Wang 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 Zirui Wang. Zirui Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 4
3 21
4 3
5 2
6 2
7 9
8 0
9 21
10 0
11
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior breakdown →
106
12 2
13
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
3
14 34
15 0
16 44
17 27
18 68
19 3
20 1

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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2026