Yixuan Li

559 total citations · 1 hit paper
6 papers, 189 citations indexed

About

Yixuan Li is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yixuan Li has authored 6 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Civil and Structural Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yixuan Li's work include Anomaly Detection Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Yixuan Li is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Yixuan Li collaborates with scholars based in United States, Singapore and China. Yixuan Li's co-authors include Ziwei Liu, Jingkang Yang, Kaiyang Zhou, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Yiyou Sun, Scott B. Perlman and Wei Jin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Physics in Medicine and Biology.

In The Last Decade

Yixuan Li

6 papers receiving 187 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Generalized Out-of-Distribution Detection: A Survey

2024 149 citations Jingkang Yang, Kaiyang Zhou et al. International Journal of Computer Vision profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yixuan Li United States	3	100	51	28	12	10	6	189
Jiaming Song China	4	104 1.0×	81 1.6×	14 0.5×	22 1.8×	5 0.5×	13	184
Niv Giladi Israel	2	76 0.8×	73 1.4×	19 0.7×	6 0.5×	2 0.2×	3	162
Xiaoyang Hao China	6	89 0.9×	17 0.3×	12 0.4×	13 1.1×	14 1.4×	10	152
Mohammad Ali Bagheri Canada	8	87 0.9×	74 1.5×	11 0.4×	11 0.9×	8 0.8×	19	197
Rakesh Kumar Sanodiya India	10	169 1.7×	94 1.8×	19 0.7×	9 0.8×	9 0.9×	38	245
Nikhil Mishra India	7	68 0.7×	39 0.8×	20 0.7×	7 0.6×	8 0.8×	23	140
Giuseppe Cuccu Switzerland	7	118 1.2×	35 0.7×	20 0.7×	3 0.3×	3 0.3×	15	165
Mingchen Li United States	8	71 0.7×	47 0.9×	5 0.2×	8 0.7×	9 0.9×	26	174
Yongbin Li China	8	250 2.5×	70 1.4×	47 1.7×	7 0.6×	6 0.6×	27	342

Countries citing papers authored by Yixuan Li

Since Specialization

Citations

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

Fields of papers citing papers by Yixuan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yixuan Li

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Jin, Wei, Haohan Wang, Daochen Zha, et al.. (2024). DCAI: Data-centric Artificial Intelligence. 1482–1485. 2 indexed citations

2.

Deatsch, Alison, et al.. (2024). Uncertainty quantification via localized gradients for deep learning-based medical image assessments. Physics in Medicine and Biology. 69(15). 155015–155015. 1 indexed citations

3.

Yang, Jingkang, Kaiyang Zhou, Yixuan Li, & Ziwei Liu. (2024). Generalized Out-of-Distribution Detection: A Survey. International Journal of Computer Vision. 132(12). 5635–5662. 149 indexed citations breakdown →

4.

Sun, Yiyou, et al.. (2024). How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?. Proceedings of the AAAI Conference on Artificial Intelligence. 38(18). 19849–19857. 2 indexed citations

5.

Li, Yixuan, et al.. (2023). How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?. International Journal of Computer Vision. 132(2). 596–609. 15 indexed citations

6.

Wang, Haobo, et al.. (2023). PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3183–3198. 20 indexed citations

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