Zhu Yushi

8 total papers · 547 total citations
5 papers, 395 citations indexed

About

Zhu Yushi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geology. According to data from OpenAlex, Zhu Yushi has authored 5 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 2 papers in Geology. Recurrent topics in Zhu Yushi's work include 3D Shape Modeling and Analysis (2 papers), Face and Expression Recognition (2 papers) and 3D Surveying and Cultural Heritage (2 papers). Zhu Yushi is often cited by papers focused on 3D Shape Modeling and Analysis (2 papers), Face and Expression Recognition (2 papers) and 3D Surveying and Cultural Heritage (2 papers). Zhu Yushi collaborates with scholars based in China. Zhu Yushi's co-authors include Jianyun Xu, Shiliang Pu, Jie Sun, Ruixiang Zhang, Jian Dou, Ting Yun, Xinxin Chen, Kang Jiang, Xiangjun Wang and Lihong Zhao and has published in prestigious journals such as Forests and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Zhu Yushi

5 papers receiving 383 citations

Hit Papers

RPVNet: A Deep and Effici... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Zhu Yushi 208 162 126 118 79 5 395
Shangshu Yu 182 0.9× 120 0.7× 111 0.9× 198 1.7× 102 1.3× 15 378
Jia Sun 86 0.4× 149 0.9× 85 0.7× 95 0.8× 62 0.8× 13 345
Saifullahi Aminu Bello 161 0.8× 101 0.6× 119 0.9× 158 1.3× 56 0.7× 14 363
Hao Xu 271 1.3× 69 0.4× 32 0.3× 234 2.0× 111 1.4× 14 417
Romain Neuville 229 1.1× 69 0.4× 45 0.4× 230 1.9× 42 0.5× 16 359
Dawei Zai 263 1.3× 100 0.6× 60 0.5× 216 1.8× 103 1.3× 14 365
Xinhan Di 127 0.6× 175 1.1× 248 2.0× 201 1.7× 61 0.8× 7 389
Aimad El Issaoui 316 1.5× 46 0.3× 19 0.2× 235 2.0× 110 1.4× 10 426
Jie Shao 180 0.9× 44 0.3× 12 0.1× 119 1.0× 48 0.6× 16 340
Michael Firman 22 0.1× 138 0.9× 49 0.4× 30 0.3× 44 0.6× 12 360

Countries citing papers authored by Zhu Yushi

Since Specialization
Citations

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

Fields of papers citing papers by Zhu Yushi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu Yushi

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026