Xuanya Li

449 total citations
16 papers, 327 citations indexed

About

Xuanya Li is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Xuanya Li has authored 16 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Epidemiology. Recurrent topics in Xuanya Li's work include Acute Ischemic Stroke Management (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Xuanya Li is often cited by papers focused on Acute Ischemic Stroke Management (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Xuanya Li collaborates with scholars based in China, United Kingdom and Poland. Xuanya Li's co-authors include Yuan Zhang, Kai Hu, Xieping Gao, Zhineng Chen, Zhineng Chen, Xinyu Zhou, Kai Chen, Wei Huang, Zhong Zheng and Jie Nie and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Neural Networks.

In The Last Decade

Xuanya Li

15 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuanya Li China 7 200 160 108 107 58 16 327
A. Jayachandran India 12 181 0.9× 121 0.8× 149 1.4× 67 0.6× 60 1.0× 28 278
Lingjiao Pan China 10 172 0.9× 149 0.9× 31 0.3× 51 0.5× 56 1.0× 27 313
Kejuan Yue China 7 203 1.0× 241 1.5× 38 0.4× 87 0.8× 120 2.1× 17 400
Parham Khojasteh Australia 7 104 0.5× 212 1.3× 25 0.2× 35 0.3× 134 2.3× 8 292
Sourodip Ghosh India 7 110 0.6× 138 0.9× 71 0.7× 111 1.0× 11 0.2× 11 265
Maria Inês Meyer Belgium 5 177 0.9× 220 1.4× 25 0.2× 88 0.8× 72 1.2× 5 368
Shahab Aslani United Kingdom 6 127 0.6× 150 0.9× 55 0.5× 45 0.4× 79 1.4× 8 248
Yangqin Feng Singapore 12 165 0.8× 258 1.6× 47 0.4× 232 2.2× 68 1.2× 20 444
Xin Shu China 10 86 0.4× 141 0.9× 58 0.5× 191 1.8× 8 0.1× 28 309
Jianyang Xie China 11 130 0.7× 379 2.4× 28 0.3× 44 0.4× 279 4.8× 31 497

Countries citing papers authored by Xuanya Li

Since Specialization
Citations

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

Fields of papers citing papers by Xuanya Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanya Li

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

All Works

16 of 16 papers shown
1.
Li, Wenhui, Zhen Fang, Dan Song, et al.. (2025). Multi-view contrastive learning for unsupervised 3D model retrieval and classification. Signal Processing Image Communication. 138. 117333–117333.
2.
Zhou, Heyu, et al.. (2024). Universal unsupervised cross-domain 3D shape retrieval. Multimedia Systems. 30(1). 2 indexed citations
3.
Su, Yuting, Wenhui Li, Zhengya Sun, et al.. (2023). Rare-aware attention network for image–text matching. Information Processing & Management. 60(3). 103280–103280. 11 indexed citations
4.
Li, Qiang, et al.. (2023). External Knowledge Dynamic Modeling for Image-text Retrieval. 5330–5338. 1 indexed citations
5.
Hou, Yuanyuan, Zhi‐Qiang Wang, Yuan Zhang, et al.. (2023). Multi-scale Perception and Feature Refinement Network for multi-class segmentation of intracerebral hemorrhage in CT images. Biomedical Signal Processing and Control. 88. 105614–105614. 5 indexed citations
6.
Liu, An-An, Ning Xu, Min Liu, et al.. (2023). Multi-stage reasoning on introspecting and revising bias for visual question answering. ACM Transactions on the Web. 18(4). 1–13. 4 indexed citations
7.
Li, Huying, Yuan Zhang, Zhi‐Qiang Wang, et al.. (2023). MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images. Neural Networks. 170. 136–148. 7 indexed citations
8.
Zhang, Yuan, et al.. (2022). Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation. Expert Systems with Applications. 195. 116526–116526. 87 indexed citations
9.
Tan, Donghui, et al.. (2022). TransMixer: A Hybrid Transformer and CNN Architecture for Polyp Segmentation. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1558–1561. 6 indexed citations
10.
Nie, Jie, et al.. (2022). Image-based 3D model retrieval via disentangled feature learning and enhanced semantic alignment. Information Processing & Management. 60(2). 103159–103159. 3 indexed citations
11.
Hu, Kai, Wei Huang, Zhineng Chen, et al.. (2021). Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images. Neurocomputing. 458. 232–245. 38 indexed citations
12.
Zhou, Xinyu, Xuanya Li, Kai Hu, et al.. (2021). ERV-Net: An efficient 3D residual neural network for brain tumor segmentation. Expert Systems with Applications. 170. 114566–114566. 101 indexed citations
13.
Hu, Kai, et al.. (2021). Embedded Residual Recurrent Network and Graph Search for the Segmentation of Retinal Layer Boundaries in Optical Coherence Tomography. IEEE Transactions on Instrumentation and Measurement. 70. 1–17. 19 indexed citations
14.
15.
Xia, Fan, Yanni Xiao, Peiyu Liu, Robert Cheke, & Xuanya Li. (2020). Differences in how interventions coupled with effective reproduction numbers account for marked variations in COVID-19 epidemic outcomes. Mathematical Biosciences & Engineering. 17(5). 5085–5098. 2 indexed citations
16.
Hu, Kai, Kai Chen, Yuan Zhang, et al.. (2020). Automatic segmentation of intracerebral hemorrhage in CT images using encoder–decoder convolutional neural network. Information Processing & Management. 57(6). 102352–102352. 38 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.

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