Yinghao Xu

124 total papers · 2.7k total citations
54 papers, 1.4k citations indexed

About

Yinghao Xu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Yinghao Xu has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 8 papers in Artificial Intelligence. Recurrent topics in Yinghao Xu's work include Generative Adversarial Networks and Image Synthesis (11 papers), 3D Shape Modeling and Analysis (9 papers) and Computer Graphics and Visualization Techniques (8 papers). Yinghao Xu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (11 papers), 3D Shape Modeling and Analysis (9 papers) and Computer Graphics and Visualization Techniques (8 papers). Yinghao Xu collaborates with scholars based in China, Hong Kong and United States. Yinghao Xu's co-authors include Bolei Zhou, Ceyuan Yang, Hujun Bao, Sida Peng, Bo Dai, Xiaowei Zhou, Jianping Shi, Qing Shuai, Qianqian Wang and Yuanqing Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yinghao Xu

45 papers receiving 1.3k citations

Hit Papers

Neural Body: Implicit Neu... 2020 2026 2022 2024 2021 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Yinghao Xu 982 368 333 332 118 54 1.4k
Sergey Tulyakov 1.2k 1.2× 277 0.8× 310 0.9× 238 0.7× 87 0.7× 90 1.8k
Zhicheng Wang 1.5k 1.5× 219 0.6× 261 0.8× 263 0.8× 58 0.5× 75 1.8k
Ingrid Carlbom 912 0.9× 153 0.4× 385 1.2× 160 0.5× 81 0.7× 59 1.6k
Jun‐Hai Yong 779 0.8× 751 2.0× 548 1.6× 151 0.5× 105 0.9× 127 1.8k
Amit H. Bermano 1.2k 1.2× 263 0.7× 355 1.1× 172 0.5× 92 0.8× 53 1.5k
Wen Zheng 638 0.6× 559 1.5× 316 0.9× 189 0.6× 130 1.1× 91 1.5k
Hock Soon Seah 1.1k 1.1× 372 1.0× 298 0.9× 126 0.4× 125 1.1× 152 1.6k
Christian Rupprecht 825 0.8× 266 0.7× 196 0.6× 236 0.7× 74 0.6× 77 1.7k
Dimitrios Zarpalas 1.1k 1.2× 192 0.5× 149 0.4× 134 0.4× 90 0.8× 86 1.6k
Vladislav Golyanik 1.1k 1.1× 473 1.3× 352 1.1× 87 0.3× 297 2.5× 65 1.4k

Countries citing papers authored by Yinghao Xu

Since Specialization
Citations

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

Fields of papers citing papers by Yinghao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghao Xu

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

All Works

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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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