Xiuling Liu

4.1k total citations
206 papers, 3.0k citations indexed

About

Xiuling Liu is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Materials Chemistry. According to data from OpenAlex, Xiuling Liu has authored 206 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 48 papers in Cognitive Neuroscience and 48 papers in Materials Chemistry. Recurrent topics in Xiuling Liu's work include EEG and Brain-Computer Interfaces (37 papers), Luminescence Properties of Advanced Materials (35 papers) and ECG Monitoring and Analysis (31 papers). Xiuling Liu is often cited by papers focused on EEG and Brain-Computer Interfaces (37 papers), Luminescence Properties of Advanced Materials (35 papers) and ECG Monitoring and Analysis (31 papers). Xiuling Liu collaborates with scholars based in China, Singapore and United States. Xiuling Liu's co-authors include Peng Xiong, Hongrui Wang, Cunguang Lou, Zeng‐Guang Hou, Tie Liang, Ming Liu, Feng Lin, Pengpeng Lei, Hongjie Zhang and Jing Feng and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Xiuling Liu

190 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiuling Liu China 31 1.0k 932 795 550 518 206 3.0k
J. H. Correia Portugal 32 1.2k 1.2× 1.5k 1.7× 1.6k 2.1× 329 0.6× 85 0.2× 288 4.2k
Tomoyuki Yamamoto Japan 35 1.5k 1.4× 802 0.9× 683 0.9× 80 0.1× 217 0.4× 207 3.7k
Wenhan Liu China 24 422 0.4× 275 0.3× 541 0.7× 300 0.5× 549 1.1× 116 1.9k
Kazuo Sato Japan 40 703 0.7× 2.4k 2.6× 2.6k 3.3× 230 0.4× 176 0.3× 318 5.8k
Xiaoling Peng China 35 1.1k 1.0× 1.2k 1.3× 983 1.2× 194 0.4× 87 0.2× 265 4.5k
Xiaohao Wang China 38 784 0.8× 1.4k 1.5× 2.4k 3.0× 371 0.7× 64 0.1× 299 5.5k
Yaping Wang China 36 1.2k 1.1× 1.2k 1.3× 765 1.0× 426 0.8× 18 0.0× 229 5.5k
Rinaldo Cubeddu Italy 50 501 0.5× 408 0.4× 4.6k 5.7× 121 0.2× 158 0.3× 358 8.0k
Yongsheng Zhu China 38 3.9k 3.7× 2.3k 2.5× 950 1.2× 325 0.6× 593 1.1× 139 5.5k

Countries citing papers authored by Xiuling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiuling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuling Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuling Liu. A scholar is included among the top collaborators of Xiuling Liu 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 Xiuling Liu. Xiuling Liu 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.
Zhang, Weidong, et al.. (2024). High-Order Temporal Convolutional Network for Improving Classification Performance of SSVEP-EEG. IRBM. 45(2). 100830–100830. 1 indexed citations
2.
Dong, Xunde, et al.. (2024). Conv-RGNN: An efficient Convolutional Residual Graph Neural Network for ECG classification. Computer Methods and Programs in Biomedicine. 257. 108406–108406. 6 indexed citations
3.
Gao, Jing, et al.. (2024). Classification of Parkinson’s disease EEG signals using 2D-MDAGTS model and multi-scale fuzzy entropy. Biomedical Signal Processing and Control. 91. 105872–105872. 9 indexed citations
4.
Li, Wenxia, et al.. (2024). Effects of Na+, Ga3+ introduction on the luminescence properties of LiAl4O6F: Mn4+ red fluorescent materials. Optical Materials. 150. 115148–115148. 4 indexed citations
5.
Li, Yifan, Yang He, Yinghui Wu, et al.. (2024). A Room‐Temperature Terahertz Photodetector Imaging with High Stability and Polarization‐Sensitive Based on Perovskite/Metasurface. Advanced Science. 12(6). e2407634–e2407634. 5 indexed citations
6.
Xiang, Tianyu, Xiao-Hu Zhou, Xiao‐Liang Xie, et al.. (2024). Learning EEG Motor Characteristics via Temporal-Spatial Representations. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 933–945. 1 indexed citations
7.
Jian, Siyu, Haolin Li, Tong Zhang, et al.. (2024). High-performance red quantum dot light-emitting diodes via exciton harvesting based on all-organic charge transport layers. Journal of Luminescence. 279. 121036–121036.
8.
Liu, Xiaoguang, et al.. (2024). Integration of Convolutional Neural Network and Vision Transformer for gesture recognition using sEMG. Biomedical Signal Processing and Control. 98. 106686–106686. 5 indexed citations
9.
Lou, Cunguang, Yaxin Wang, Lei Huang, et al.. (2023). Quartz tuning fork (QTF) coating enhanced Mid-Infrared laser Induced-Thermoacoustic spectroscopy (LITES) for human exhaled methane detection. Infrared Physics & Technology. 133. 104824–104824. 19 indexed citations
10.
Li, Yifan, et al.. (2023). Highly and tunable full-Stokes chiral metasurface polarization response based on CH3NH3PbI3 perovskites. Materials Letters. 355. 135470–135470. 3 indexed citations
11.
Liang, Tie, et al.. (2023). EEG-CDILNet: a lightweight and accurate CNN network using circular dilated convolution for motor imagery classification. Journal of Neural Engineering. 20(4). 46031–46031. 10 indexed citations
12.
Liang, Tie, et al.. (2023). Surface Electromyography-Based Analysis of the Lower Limb Muscle Network and Muscle Synergies at Various Gait Speeds. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1230–1237. 10 indexed citations
13.
Zhang, Xinhua, Maratab Ali, Yuting Wang, et al.. (2023). GABA primes defense responses against Botrytis cinerea in tomato fruit by modulating ethylene and JA signaling pathways. Postharvest Biology and Technology. 208. 112665–112665. 22 indexed citations
14.
Wang, Yanping, Yusen Yang, Dingke Zhang, et al.. (2023). Phosphorescent‐Dye‐Sensitized Quantum‐Dot Light‐Emitting Diodes with 37% External Quantum Efficiency. Advanced Materials. 35(45). e2306703–e2306703. 22 indexed citations
15.
Liang, Tie, et al.. (2022). Directed network analysis reveals changes in cortical and muscular connectivity caused by different standing balance tasks. Journal of Neural Engineering. 19(4). 46021–46021. 4 indexed citations
16.
Liu, Xiaoguang, Tie Liang, Jun Li, et al.. (2021). Muscle Compensation Analysis During Motion Based on Muscle Functional Network. IEEE Sensors Journal. 22(3). 2370–2378. 5 indexed citations
17.
Liang, Tie, et al.. (2020). Time-Frequency Maximal Information Coefficient Method and its Application to Functional Corticomuscular Coupling. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(11). 2515–2524. 26 indexed citations
18.
Liu, Ming, et al.. (2020). Detection of Paroxysmal Atrial Fibrillation Based on Kernel Sparse Coding. 电子与信息学报. 42(7). 1743–1749. 1 indexed citations
19.
Liu, Xiuling, et al.. (2013). Analysis of Enhancing the Competitiveness of China Machine Tool Industry from the Perspective of Foreign Trade. Advances in management and applied economics. 3(1). 1–7.
20.
Liu, Xiuling. (2007). Wavelet chaotic neural network for function optimization. Journal of Computer Applications. 1 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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