Xiaoxuan Fu

783 total citations · 1 hit paper
25 papers, 484 citations indexed

About

Xiaoxuan Fu is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Xiaoxuan Fu has authored 25 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Biomedical Engineering and 5 papers in Materials Chemistry. Recurrent topics in Xiaoxuan Fu's work include Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Xiaoxuan Fu is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Xiaoxuan Fu collaborates with scholars based in China, United States and United Arab Emirates. Xiaoxuan Fu's co-authors include Zhuhong Zhang, Shengjun Peng, Laien Zhao, Yanmei Huang, Rong Wang, Xiaojie Wang, Peng Li, Jia Liu, Qian Xiang and Zhuo Chen and has published in prestigious journals such as NeuroImage, Stroke and Annals of Neurology.

In The Last Decade

Xiaoxuan Fu

23 papers receiving 478 citations

Hit Papers

Silica nanoparticles: Biomedical applications and toxicity 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoxuan Fu China 10 158 115 99 75 49 25 484
Jung-Eun Kim South Korea 13 214 1.4× 86 0.7× 85 0.9× 45 0.6× 28 0.6× 44 612
Tiantian Wang China 12 104 0.7× 73 0.6× 46 0.5× 41 0.5× 22 0.4× 54 437
Zhen Liang China 16 239 1.5× 110 1.0× 35 0.4× 123 1.6× 20 0.4× 74 845
Xuanjun Liu China 14 249 1.6× 188 1.6× 91 0.9× 90 1.2× 17 0.3× 29 807
Mariko Yamada Japan 15 85 0.5× 49 0.4× 77 0.8× 28 0.4× 19 0.4× 43 500
Božica Kovačević Australia 16 204 1.3× 53 0.5× 30 0.3× 85 1.1× 19 0.4× 63 691
Mohamed A. Safwat Egypt 12 81 0.5× 91 0.8× 75 0.8× 148 2.0× 8 0.2× 26 447
Mohammed Nadim Sardoiwala India 12 129 0.8× 111 1.0× 75 0.8× 114 1.5× 6 0.1× 27 491
Cheng‐Hsien Lin Taiwan 13 72 0.5× 37 0.3× 50 0.5× 24 0.3× 10 0.2× 36 468

Countries citing papers authored by Xiaoxuan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxuan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxuan Fu

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

All Works

20 of 20 papers shown
1.
Dahmani, Louisa, Yan Bai, Wei Zhang, et al.. (2025). Individualized functional connectivity markers for motor and mood symptoms of Parkinson’s disease. NeuroImage. 324. 121631–121631.
2.
Ren, Jianxun, Xiaoxuan Fu, Ruiqi Pan, et al.. (2024). Efficacy and Safety of High-Dose TBS on Poststroke Upper Extremity Motor Impairment: A Randomized Controlled Trial. Stroke. 55(9). 2212–2220. 9 indexed citations
3.
Fu, Xiaoxuan, Peng Li, Xi Chen, et al.. (2024). Ceria nanoparticles: biomedical applications and toxicity. Journal of Zhejiang University SCIENCE B. 25(5). 361–388. 16 indexed citations
4.
Huang, Yanmei, Jing Lü, Laien Zhao, et al.. (2023). Retinal cell-targeted liposomal ginsenoside Rg3 attenuates retinal ischemia-reperfusion injury via alleviating oxidative stress and promoting microglia/macrophage M2 polarization. Free Radical Biology and Medicine. 206. 162–179. 13 indexed citations
5.
Fu, Xiaoxuan, et al.. (2023). Detection of infrared small target based on background subtraction local contrast measure and Gaussian structural similarity. Heliyon. 9(6). e16998–e16998. 4 indexed citations
6.
Peng, Shengjun, Yizhou Wang, Zhifang Sun, et al.. (2023). Nanoparticles loaded with pharmacologically active plant-derived natural products: Biomedical applications and toxicity. Colloids and Surfaces B Biointerfaces. 225. 113214–113214. 22 indexed citations
7.
Liu, Jia, Shubin Yang, Laien Zhao, et al.. (2023). ROS generation and p-38 activation contribute to montmorillonite-induced corneal toxicity in vitro and in vivo. Particle and Fibre Toxicology. 20(1). 8–8.
8.
Guo, Yanjun, Weigang Cui, Louisa Dahmani, et al.. (2023). Personalized brain MRI revealed distinct functional and anatomical disruptions in Creutzfeldt‐Jakob disease and Alzheimer's disease. CNS Neuroscience & Therapeutics. 30(2). e14404–e14404. 1 indexed citations
9.
Huang, Yanmei, Peng Li, Laien Zhao, et al.. (2022). Silica nanoparticles: Biomedical applications and toxicity. Biomedicine & Pharmacotherapy. 151. 113053–113053. 198 indexed citations breakdown →
10.
Zhao, Laien, Longbing Ling, Jing Lü, et al.. (2022). Reactive oxygen species‐responsive mitochondria‐targeted liposomal quercetin attenuates retinal ischemia–reperfusion injury via regulating SIRT1/FOXO3A and p38 MAPK signaling pathways. Bioengineering & Translational Medicine. 8(3). e10460–e10460. 36 indexed citations
11.
Ren, Jianxun, Weiwei Wang, Catherine S. Hubbard, et al.. (2022). Fast cortical surface reconstruction from MRI using deep learning. Brain Informatics. 9(1). 6–6. 6 indexed citations
12.
Zhang, Zhuhong, Laien Zhao, Yuanyuan Ma, et al.. (2022). Mechanistic study of silica nanoparticles on the size-dependent retinal toxicity in vitro and in vivo. Journal of Nanobiotechnology. 20(1). 146–146. 38 indexed citations
13.
Fu, Xiaoxuan, Youhua Wang, Abdelkader Nasreddine Belkacem, et al.. (2021). Integrating Optimized Multiscale Entropy Model with Machine Learning for the Localization of Epileptogenic Hemisphere in Temporal Lobe Epilepsy Using Resting-State fMRI. Journal of Healthcare Engineering. 2021. 1–10. 4 indexed citations
16.
Wang, Bo, et al.. (2021). SAR vehicle recognition via scale-coupled Incep_Dense Network (IDNet). International Journal of Remote Sensing. 42(23). 9109–9134. 3 indexed citations
17.
Chen, Zhuo, et al.. (2020). Akkermansia muciniphila Enhances the Antitumor Effect of Cisplatin in Lewis Lung Cancer Mice. Journal of Immunology Research. 2020(1). 2969287–2969287. 51 indexed citations
18.
Li, Qinglin, Xiaoxuan Fu, Xinyang Ge, et al.. (2019). Antitumor Effects and Related Mechanisms of Ethyl Acetate Extracts of Polygonum perfoliatum L.. Frontiers in Oncology. 9. 578–578. 9 indexed citations
19.
Xiang, Qian, et al.. (2019). Regulation of Shaoyao Ruangan Mixture on Intestinal Flora in Mice With Primary Liver Cancer. Integrative Cancer Therapies. 18. 1871061610–1871061610. 19 indexed citations
20.
Fu, Xiaoxuan, Youhua Wang, Manling Ge, et al.. (2018). Negative effects of interictal spikes on theta rhythm in human temporal lobe epilepsy. Epilepsy & Behavior. 87. 207–212. 18 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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