Yiqi Wu

2.4k total citations · 1 hit paper
64 papers, 1.2k citations indexed

About

Yiqi Wu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Yiqi Wu has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Industrial and Manufacturing Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Yiqi Wu's work include Manufacturing Process and Optimization (11 papers), 3D Shape Modeling and Analysis (7 papers) and 3D Surveying and Cultural Heritage (7 papers). Yiqi Wu is often cited by papers focused on Manufacturing Process and Optimization (11 papers), 3D Shape Modeling and Analysis (7 papers) and 3D Surveying and Cultural Heritage (7 papers). Yiqi Wu collaborates with scholars based in China, United Kingdom and United States. Yiqi Wu's co-authors include Dejun Zhang, Fazhi He, Fazhi He, Yilin Chen, Xiaoxia Li, Jingxuan Liu, Yige Xu, Zhanhao Zhang, Yan-Kun Chen and Lingyun Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Cell stem cell.

In The Last Decade

Yiqi Wu

57 papers receiving 1.1k citations

Hit Papers

Auto-Encoding Variational Bayes 2024 2026 2025 2024 50 100 150

Peers

Yiqi Wu
Comparison fields: 5 of 156
  • Computer Vision and Pattern Recognition 310
  • Artificial Intelligence 193
  • Electrical and Electronic Engineering 118
  • Industrial and Manufacturing Engineering 106
  • Mechanical Engineering 101
Yafei Li China
Zhen Yang China
Md. Robiul Islam Bangladesh
Hakil Kim South Korea
Zhiyuan Wang China
Hong Xie China
Chien-Chih Wang Taiwan
Fan Lin China
Yang Xu China
Yafei Li China View profile →
Citations per field, relative to Yiqi Wu
Yiqi Wu · 1×
Citations per year, relative to Yiqi Wu
Yiqi Wu · 1×

Countries citing papers authored by Yiqi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yiqi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiqi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiqi Wu. A scholar is included among the top collaborators of Yiqi 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 Yiqi Wu. Yiqi Wu 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 5
2 27
3
Auto-Encoding Variational Bayes breakdown →
161
4 3
5 31
6 2
7 0
8 9
9 5
10 106
11 10
12 2
13 32
14 11
15 6
16 7
17 21
18 4
19 2
20 15

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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