Xiaojun Yu

2.4k total citations
128 papers, 1.8k citations indexed

About

Xiaojun Yu is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaojun Yu has authored 128 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Biomedical Engineering, 23 papers in Cognitive Neuroscience and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaojun Yu's work include Optical Coherence Tomography Applications (36 papers), EEG and Brain-Computer Interfaces (22 papers) and Photoacoustic and Ultrasonic Imaging (20 papers). Xiaojun Yu is often cited by papers focused on Optical Coherence Tomography Applications (36 papers), EEG and Brain-Computer Interfaces (22 papers) and Photoacoustic and Ultrasonic Imaging (20 papers). Xiaojun Yu collaborates with scholars based in China, Singapore and United States. Xiaojun Yu's co-authors include Muhammad Tariq Sadiq, Zhaohui Yuan, Muhammad Zulkifal Aziz, Zeming Fan, Gaoxi Xiao, Linbo Liu, Ateeq Ur Rehman, Guoqi Li, Weiping Ding and Yuekuan Zhou and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Journal of Applied Physiology.

In The Last Decade

Xiaojun Yu

113 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaojun Yu China 21 706 501 264 216 207 128 1.8k
Dan Liu China 21 812 1.2× 383 0.8× 138 0.5× 113 0.5× 129 0.6× 114 1.9k
Muhammad Tariq Sadiq China 28 1.2k 1.7× 462 0.9× 275 1.0× 358 1.7× 270 1.3× 67 2.3k
Humaira Nisar Malaysia 17 445 0.6× 171 0.3× 173 0.7× 138 0.6× 54 0.3× 151 1.3k
Sugata Munshi India 21 311 0.4× 265 0.5× 366 1.4× 174 0.8× 53 0.3× 67 1.4k
Uğur Halıcı Türkiye 15 672 1.0× 90 0.2× 246 0.9× 269 1.2× 289 1.4× 69 1.4k
Ahmad Ayatollahi Iran 18 237 0.3× 170 0.3× 249 0.9× 181 0.8× 105 0.5× 97 1.2k
Tam Vu United States 26 258 0.4× 492 1.0× 522 2.0× 255 1.2× 48 0.2× 100 2.1k
Luciano Boquete Spain 22 774 1.1× 301 0.6× 86 0.3× 72 0.3× 190 0.9× 69 1.7k
Guozheng Yan China 28 310 0.4× 1.1k 2.1× 900 3.4× 147 0.7× 141 0.7× 200 2.9k
Cosimo Ieracitano Italy 19 873 1.2× 135 0.3× 124 0.5× 212 1.0× 141 0.7× 42 1.7k

Countries citing papers authored by Xiaojun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Yu. A scholar is included among the top collaborators of Xiaojun Yu 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 Xiaojun Yu. Xiaojun Yu 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.
Yu, Xiaojun, et al.. (2025). Simultaneous Multi-Treatment Strategy for Brain Tumor Reduction via Nonlinear Control. Brain Sciences. 15(2). 207–207.
2.
Yuan, Zhaohui, et al.. (2025). MCFPred: A Novel Multichannel Signal Adaptive Fusion Framework for Fault Diagnosis in Hydraulic Systems. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations
3.
Aziz, Muhammad Zulkifal, et al.. (2024). Exploring the potential of pretrained CNNs and time-frequency methods for accurate epileptic EEG classification: a comparative study. Biomedical Physics & Engineering Express. 10(4). 45023–45023. 4 indexed citations
4.
5.
Zhou, Yuekuan, et al.. (2024). Climate-adaptive resilience in district buildings and cross-regional energy sharing in Guangzhou-Shenzhen-Hong Kong Greater Bay Area. Energy and Buildings. 308. 114004–114004. 18 indexed citations
6.
Yu, Xiaojun, Yuan Miao, Jinna Chen, et al.. (2024). Dual blind-spot network for self-supervised denoising in OCT images. Biomedical Signal Processing and Control. 97. 106682–106682.
7.
Yu, Xiaojun, Xiaoyu Hua, Dong Zhang, et al.. (2024). Pediatric diffuse intrinsic pontine glioma radiotherapy response prediction: MRI morphology and T2 intensity-based quantitative analyses. European Radiology. 34(12). 7962–7972. 3 indexed citations
8.
Yu, Xiaojun & Ji Zhu. (2024). Network community detection using higher-order structures. Biometrika. 111(3). 903–923.
9.
Yu, Xiaojun & Weifeng Jiang. (2024). Experimental demonstration of a silicon four-mode (de)multiplexer based on cascaded triple-waveguide couplers. Journal of the Optical Society of America B. 41(8). 1808–1808. 1 indexed citations
10.
Yuan, Zhaohui, et al.. (2024). Intelligent Fault Diagnosis of Hydraulic Systems Based on Multisensor Fusion and Deep Learning. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 5 indexed citations
11.
Yu, Xiaojun, Yuan Miao, Zeming Fan, et al.. (2024). Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image. Biomedical Optics Express. 15(2). 1233–1233. 3 indexed citations
12.
Yu, Xiaojun, et al.. (2023). Integrated Design of Multi-Constrained Snake Maneuver Surge Guidance Control for Hypersonic Vehicles in the Dive Segment. Aerospace. 10(9). 765–765. 5 indexed citations
13.
Yu, Xiaojun, et al.. (2022). A noise statistical distribution analysis-based two-step filtering mechanism for optical coherence tomography image despeckling. Laser Physics Letters. 19(7). 75601–75601. 3 indexed citations
14.
Luo, Yuemei, Xianghong Wang, Xiaojun Yu, Ruibing Jin, & Linbo Liu. (2021). Imaging sebaceous gland using optical coherence tomography with deep learning assisted automatic identification. Journal of Biophotonics. 14(6). e202100015–e202100015. 4 indexed citations
15.
Wen, Feng, et al.. (2020). Nonlinear optical induced lattice in atomic configurations. Scientific Reports. 10(1). 13396–13396. 2 indexed citations
16.
Sadiq, Muhammad Tariq, Xiaojun Yu, Zhaohui Yuan, et al.. (2019). Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform. IEEE Access. 7. 127678–127692. 124 indexed citations
17.
Sadiq, Muhammad Tariq, Xiaojun Yu, Zhaohui Yuan, et al.. (2019). Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces. IEEE Access. 7. 171431–171451. 153 indexed citations
18.
Wang, Min, Yiyuan Han, Xiaojun Yu, et al.. (2019). Upconversion Nanoparticle Powered Microneedle Patches for Transdermal Delivery of siRNA. Advanced Healthcare Materials. 9(2). e1900635–e1900635. 80 indexed citations
19.
Yu, Xiaojun, Qianshan Ding, Ganggang Mu, et al.. (2018). Evaluating Micro-Optical Coherence Tomography as a Feasible Imaging Tool for Pancreatic Disease Diagnosis. IEEE Journal of Selected Topics in Quantum Electronics. 25(1). 1–8. 18 indexed citations
20.
Luo, Yuemei, En Bo, Xianghong Wang, et al.. (2018). Imaging Cellular Structures of Atherosclerotic Coronary Arteries Using Circumferentially Scanning Micro-Optical Coherence Tomography Fiber Probe Ex Vivo. IEEE Access. 6. 62988–62994. 4 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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