Likun Xia

2.0k total citations
49 papers, 1.4k citations indexed

About

Likun Xia is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Likun Xia has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Likun Xia's work include EEG and Brain-Computer Interfaces (14 papers), Heart Rate Variability and Autonomic Control (8 papers) and VLSI and Analog Circuit Testing (7 papers). Likun Xia is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Heart Rate Variability and Autonomic Control (8 papers) and VLSI and Analog Circuit Testing (7 papers). Likun Xia collaborates with scholars based in Malaysia, China and United Kingdom. Likun Xia's co-authors include Aamir Saeed Malik, Tong Boon Tang, Wajid Mumtaz, Mohd Azhar Mohd Yasin, Syed Saad Azhar Ali, Junaid Ahmad, Ahmad Rauf Subhani, Muhammad Hussain, Rusdi Abd Rashid and Yitian Zhao and has published in prestigious journals such as PLoS ONE, Pattern Recognition and Medical Physics.

In The Last Decade

Likun Xia

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Likun Xia Malaysia 16 528 356 262 171 167 49 1.4k
Chi Zhang China 24 611 1.2× 614 1.7× 101 0.4× 260 1.5× 39 0.2× 105 2.1k
Syed Saad Azhar Ali Malaysia 20 511 1.0× 289 0.8× 221 0.8× 153 0.9× 35 0.2× 119 1.7k
Aleš Procházka Czechia 24 355 0.7× 336 0.9× 182 0.7× 75 0.4× 65 0.4× 116 1.8k
Haiwei Dong Canada 21 353 0.7× 491 1.4× 134 0.5× 114 0.7× 23 0.1× 78 1.7k
Nidal Kamel Malaysia 22 1.2k 2.3× 323 0.9× 330 1.3× 338 2.0× 28 0.2× 183 2.4k
Yongxiong Wang China 19 652 1.2× 476 1.3× 151 0.6× 528 3.1× 29 0.2× 85 1.7k
Simon Denman Australia 33 550 1.0× 2.0k 5.6× 153 0.6× 158 0.9× 249 1.5× 169 3.7k
Xavier Alameda-Pineda France 24 138 0.3× 895 2.5× 161 0.6× 94 0.5× 43 0.3× 69 2.0k
Chen Chen China 25 791 1.5× 151 0.4× 174 0.7× 197 1.2× 29 0.2× 186 1.9k
Yu Song China 25 606 1.1× 339 1.0× 118 0.5× 513 3.0× 39 0.2× 131 2.1k

Countries citing papers authored by Likun Xia

Since Specialization
Citations

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

Fields of papers citing papers by Likun Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Likun Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Likun Xia. A scholar is included among the top collaborators of Likun Xia 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 Likun Xia. Likun Xia 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.
Sun, Yu, Ming Ma, Muhammad Umer Farooq, et al.. (2025). MuST-GCN: Multiscale and Hybrid Spatial Temporal Graph Convolutional Network for Accurate Identification of Alcohol Abuse and Alcohol Dependence Within Alcohol Use Disorder. IEEE Journal of Biomedical and Health Informatics. 29(11). 7997–8010.
2.
Sun, Y. J., et al.. (2025). MS-HyFS: A novel multiscale hybrid framework with Scalable electrodes for motor imagery classification. Biomedical Signal Processing and Control. 106. 107706–107706. 4 indexed citations
3.
Ding, Rui, et al.. (2023). TL-MSE2-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms. Computers in Biology and Medicine. 167. 107609–107609. 4 indexed citations
4.
Wang, Xueqing & Likun Xia. (2022). Effect of macular vascular density on visual quality in young myopic adults. Frontiers in Medicine. 9. 5 indexed citations
5.
Xia, Likun, Hao Zhang, Yufei Wu, et al.. (2022). 3D vessel-like structure segmentation in medical images by an edge-reinforced network. Medical Image Analysis. 82. 102581–102581. 45 indexed citations
6.
Xia, Likun, Hao Zhang, Cheng He, et al.. (2021). A nested parallel multiscale convolution for cerebrovascular segmentation. Medical Physics. 48(12). 7971–7983. 5 indexed citations
7.
Mumtaz, Wajid, Likun Xia, Mohd Azhar Mohd Yasin, Syed Saad Azhar Ali, & Aamir Saeed Malik. (2017). A wavelet-based technique to predict treatment outcome for Major Depressive Disorder. PLoS ONE. 12(2). e0171409–e0171409. 171 indexed citations
8.
Zhao, Yitian, Jian Yang, Yonghuai Liu, et al.. (2017). Saliency driven vasculature segmentation with infinite perimeter active contour model. Neurocomputing. 259. 201–209. 48 indexed citations
9.
Jiang, Zhongqing, et al.. (2016). Comparison of affective and semantic priming in different SOA. Cognitive Processing. 17(4). 357–375. 9 indexed citations
10.
Mumtaz, Wajid, et al.. (2016). EEG-based Diagnosis and Treatment Outcome Prediction for Major Depressive Disorder. Figshare. 1 indexed citations
11.
Mumtaz, Wajid, et al.. (2016). An EEG-based machine learning method to screen alcohol use disorder. Cognitive Neurodynamics. 11(2). 161–171. 57 indexed citations
12.
Zheng, Yongchang, Danni Ai, Pan Zhang, et al.. (2016). Feature Learning Based Random Walk for Liver Segmentation. PLoS ONE. 11(11). e0164098–e0164098. 17 indexed citations
13.
Xia, Likun, et al.. (2015). Vehicle Detection Techniques for Collision Avoidance Systems: A Review. IEEE Transactions on Intelligent Transportation Systems. 16(5). 2318–2338. 313 indexed citations
14.
Mumtaz, Wajid, Aamir Saeed Malik, Mohd Azhar Mohd Yasin, & Likun Xia. (2015). Review on EEG and ERP predictive biomarkers for major depressive disorder. Biomedical Signal Processing and Control. 22. 85–98. 57 indexed citations
15.
Xia, Likun, et al.. (2014). Target tracking using color based particle filter. 140. 1–6. 4 indexed citations
16.
Hussin, Fawnizu Azmadi, et al.. (2013). Optimization of Processor Architecture for Sobel Real-Time Edge Detection Using FPGA. International Review on Computers and Software (IRECOS). 8(4). 970–982. 1 indexed citations
17.
Subhani, Ahmad Rauf, Likun Xia, Aamir Saeed Malik, & Zahiruddin Othman. (2013). Quantification of physiological disparities and task performance in stress and control conditions. PubMed. 2013. 2060–2063. 14 indexed citations
18.
Farooq, Muhammad Umer, Likun Xia, Fawnizu Azmadi Hussin, & Aamir Saeed Malik. (2013). Automated Model Generation of Analog Circuits through Modified Trajectory Piecewise Linear Approach with Cheby Shev Newton Interpolating Polynomials. 605–609. 2 indexed citations
19.
Xia, Likun, Muhammad Umer Farooq, Ian M. Bell, Fawnizu Azmadi Hussin, & Aamir Saeed Malik. (2013). Survey and Evaluation of Automated Model Generation Techniques for High Level Modeling and High Level Fault Modeling. Journal of Electronic Testing. 29(6). 861–877. 6 indexed citations
20.
Subhani, Ahmad Rauf, Likun Xia, & Aamir Saeed Malik. (2012). Association of Autonomic Nervous System and EEG Scalp Potential During Playing 2D Grand Turismo 5. PubMed. 7. 3420–3423. 22 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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