Yehao Li

729 total citations · 1 hit paper
3 papers, 464 citations indexed

About

Yehao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Yehao Li has authored 3 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Yehao Li's work include Advanced Image and Video Retrieval Techniques (1 paper), Image and Signal Denoising Methods (1 paper) and Probabilistic and Robust Engineering Design (1 paper). Yehao Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Image and Signal Denoising Methods (1 paper) and Probabilistic and Robust Engineering Design (1 paper). Yehao Li collaborates with scholars based in China and Hong Kong. Yehao Li's co-authors include Ting Yao, Yingwei Pan, Tao Mei, Tao Mei, Qibin Sun, Chang Wen Chen, Rui Zhu, Zhenglong Sun and Qi Cai and has published in prestigious journals such as .

In The Last Decade

Yehao Li

3 papers receiving 453 citations

Hit Papers

X-Linear Attention Networks for Image Captioning 2020 2026 2022 2024 2020 100 200 300 400

Peers

Yehao Li
Jiannan Wu Hong Kong
Liunian Harold Li United States
Belinda Zeng United States
Soravit Changpinyo United States
Ruotian Luo United States
Yehao Li
Citations per year, relative to Yehao Li Yehao Li (= 1×) peers Matteo Stefanini

Countries citing papers authored by Yehao Li

Since Specialization
Citations

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

Fields of papers citing papers by Yehao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yehao Li

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

All Works

3 of 3 papers shown
1.
Zhu, Rui, Yingwei Pan, Yehao Li, et al.. (2024). SD-DiT: Unleashing the Power of Self-Supervised Discrimination in Diffusion Transformer*. 8435–8445. 6 indexed citations
2.
Cai, Qi, Yingwei Pan, Yehao Li, et al.. (2024). Boosting Diffusion Models with Moving Average Sampling in Frequency Domain. 8911–8920. 8 indexed citations
3.
Pan, Yingwei, Ting Yao, Yehao Li, & Tao Mei. (2020). X-Linear Attention Networks for Image Captioning. 10968–10977. 450 indexed citations breakdown →

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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