Peixia Li

2.1k total citations · 1 hit paper
11 papers, 869 citations indexed

About

Peixia Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Peixia Li has authored 11 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Aerospace Engineering. Recurrent topics in Peixia Li's work include Video Surveillance and Tracking Methods (5 papers), Visual Attention and Saliency Detection (3 papers) and Advanced Neural Network Applications (3 papers). Peixia Li is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Visual Attention and Saliency Detection (3 papers) and Advanced Neural Network Applications (3 papers). Peixia Li collaborates with scholars based in China, Australia and United Kingdom. Peixia Li's co-authors include Huchuan Lu, Dong Wang, Lijun Wang, Boyu Chen, Wanli Ouyang, Xiaoyun Yang, Gang Yang, Chong Sun, Baopu Li and Junjie Yan and has published in prestigious journals such as Pattern Recognition, Thrombosis Research and Computer Science and Information Systems.

In The Last Decade

Peixia Li

10 papers receiving 846 citations

Hit Papers

Deep visual tracking: Review and experimental comparison 2017 2026 2020 2023 2017 100 200 300 400

Peers

Peixia Li
Afshin Dehghan United States
Ge Deng United States
Hexin Bai United States
Seunghoon Hong South Korea
Tackgeun You South Korea
Peixia Li
Citations per year, relative to Peixia Li Peixia Li (= 1×) peers Volker Eiselein

Countries citing papers authored by Peixia Li

Since Specialization
Citations

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

Fields of papers citing papers by Peixia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixia Li

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

All Works

11 of 11 papers shown
1.
Li, Peixia, et al.. (2025). Application of deep learning-based personalized learning path prediction and resource recommendation for inheriting scientist spirit in graduate education. Computer Science and Information Systems. 22(3). 1229–1250. 1 indexed citations
2.
Li, Peixia, Pulak Purkait, Thalaiyasingam Ajanthan, et al.. (2023). Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1229–1238. 11 indexed citations
3.
Qiao, Lei, Jinyang Guo, Peixia Li, et al.. (2022). Unsupervised Learning of Accurate Siamese Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 8091–8100. 45 indexed citations
4.
Chen, Boyu, Peixia Li, Chuming Li, et al.. (2021). GLiT: Neural Architecture Search for Global and Local Image Transformer. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12–21. 57 indexed citations
5.
Chen, Boyu, et al.. (2021). Residual multi-task learning for facial landmark localization and expression recognition. Pattern Recognition. 115. 107893–107893. 39 indexed citations
6.
Chen, Boyu, Peixia Li, Baopu Li, et al.. (2021). BN-NAS: Neural Architecture Search with Batch Normalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 307–316. 19 indexed citations
7.
Li, Peixia, Boyu Chen, Dong Wang, & Huchuan Lu. (2020). Visual tracking by dynamic matching-classification network switching. Pattern Recognition. 107. 107419–107419. 4 indexed citations
8.
Li, Peixia, Boyu Chen, Wanli Ouyang, et al.. (2019). GradNet: Gradient-Guided Network for Visual Object Tracking. 6161–6170. 233 indexed citations
9.
Chen, Boyu, Peixia Li, Chong Sun, et al.. (2018). Multi attention module for visual tracking. Pattern Recognition. 87. 80–93. 60 indexed citations
10.
Li, Peixia, Dong Wang, Lijun Wang, & Huchuan Lu. (2017). Deep visual tracking: Review and experimental comparison. Pattern Recognition. 76. 323–338. 400 indexed citations breakdown →
11.
Xia, Lijun, Jian-Ming Gu, Xiaomin Zhang, et al.. (1996). Preparation of an antifibrin thrombus-specific murine/human chimeric monoclonal antibody fab fragment in escherichia coli. Thrombosis Research. 81(4). 477–484.

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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