Xiaoying Wu

686 total citations
46 papers, 485 citations indexed

About

Xiaoying Wu is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoying Wu has authored 46 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 13 papers in Cognitive Neuroscience and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoying Wu's work include Muscle activation and electromyography studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Neuroscience and Neural Engineering (6 papers). Xiaoying Wu is often cited by papers focused on Muscle activation and electromyography studies (12 papers), EEG and Brain-Computer Interfaces (10 papers) and Neuroscience and Neural Engineering (6 papers). Xiaoying Wu collaborates with scholars based in China, United States and Canada. Xiaoying Wu's co-authors include Xiaofeng Sun, Yanfeng Shen, Yan Xiong, Xiaohong Chen, Cheng Gong, Long Bai, Baocheng Wang, Wensheng Hou, Xin Li and Zhigang Lu and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Power Electronics and IEEE Access.

In The Last Decade

Xiaoying Wu

40 papers receiving 472 citations

Peers

Xiaoying Wu

EEE

Kinde Anlay Fante Ethiopia

Cameron J. Hohimer United States

Soumya Mishra India

Sérgio Francisco Pichorim Brazil

Fahad Almaskari United Arab Emirates

Nobutaka TSUJIUCHI Japan

Ahsan Ali Pakistan

David Blanco Spain

Jingyuan Li China

Dezhi Li China

Kinde Anlay Fante Ethiopia

Xiaoying Wu

49 ×0.3

103 ×0.7

343 ×2.5

EEE

366 ×3.5

88 ×1.9

Citations per year, relative to Xiaoying Wu Xiaoying Wu (= 1×) peers Kinde Anlay Fante

Countries citing papers authored by Xiaoying Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoying Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fan, Yuqian, Chong Yan, Xiaoying Wu, et al.. (2025). Mechanical stress-based state-of-charge estimation for lithium-ion batteries via deep learning techniques. Energy. 326. 136216–136216. 6 indexed citations

Wu, Xiaoying, Chong Yan, Linbing Wang, et al.. (2025). Data-driven SOC estimation method for power batteries under driving cycle conditions and a wide temperature range. Energy. 340. 139147–139147.

Wu, Xiaoying, Chong Yan, Yi Li, et al.. (2025). A multifeature fusion approach for Lithium-ion battery state of charge estimation based on mechanical stress via the BiMamba-X model. Journal of Energy Storage. 125. 116976–116976. 3 indexed citations

Chen, Ying, et al.. (2025). Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks. BioMedical Engineering OnLine. 24(1). 39–39.

Zhou, Tao & Xiaoying Wu. (2025). Examining Generative AI User Disclosure Intention: A Perceived Affordance Perspective. Journal of theoretical and applied electronic commerce research. 20(2). 99–99.

Robbins, Daniel, et al.. (2024). Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation. Artificial Intelligence in Medicine. 156. 102945–102945. 3 indexed citations

Fan, Yuqian, Yi Li, Linbing Wang, et al.. (2024). A novel lithium-ion battery state-of-health estimation method for fast-charging scenarios based on an improved multi-feature extraction and bagging temporal attention network. Journal of Energy Storage. 99. 113396–113396. 8 indexed citations

Zhou, Tao & Xiaoying Wu. (2024). Examining generative AI user disclosure intention: an ELM perspective. Universal Access in the Information Society. 24(2). 1209–1220. 4 indexed citations

Zhou, Cheng, et al.. (2024). Hybrid model for robust and accurate forecasting building electricity demand combining physical and data-driven methods. Energy. 311. 133309–133309. 8 indexed citations

10.

Zhou, Tao & Xiaoying Wu. (2024). Examining user migration intention from social Q&A communities to generative AI. Humanities and Social Sciences Communications. 11(1). 3 indexed citations

11.

Wu, Xiaoying, et al.. (2023). Recent advances of three-dimensional bioprinting technology in hepato-pancreato-biliary cancer models. Frontiers in Oncology. 13. 1143600–1143600. 10 indexed citations

12.

Fan, Yuqian, Yi Li, Linbing Wang, et al.. (2023). Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network. Batteries. 9(11). 539–539. 16 indexed citations

13.

Yan, Xiaojing, Yaran Wu, Guoliang Wei, et al.. (2022). Transcranial Direct Current Stimulation Alleviates Neurovascular Unit Dysfunction in Mice With Preclinical Alzheimer’s Disease. Frontiers in Aging Neuroscience. 14. 857415–857415. 16 indexed citations

14.

Wang, Yongrong, et al.. (2022). The learning-relative hemodynamic modulation of cortical plasticity induced by a force-control motor training. Frontiers in Neuroscience. 16. 922725–922725. 1 indexed citations

15.

Zhang, Xin, Wensheng Hou, Xiaoying Wu, Lin Chen, & Ning Jiang. (2021). Enhancing Detection of SSMVEP Induced by Action Observation Stimuli Based on Task-Related Component Analysis. Sensors. 21(16). 5269–5269. 4 indexed citations

16.

Bai, Long, Junfang Zhang, Yan Xiong, et al.. (2020). Influence of unit cell pose on the mechanical properties of Ti6Al4V lattice structures manufactured by selective laser melting. Additive manufacturing. 34. 101222–101222. 75 indexed citations

17.

Wu, Xiaoying, et al.. (2019). Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images. IEEE Access. 7. 84318–84332. 2 indexed citations

18.

Zhang, Yao, Xiaoying Wu, Lin Chen, et al.. (2018). Non-Uniform Sample Assignment in Training Set Improving Recognition of Hand Gestures Dominated with Similar Muscle Activities. Frontiers in Neurorobotics. 12. 3–3. 4 indexed citations

19.

Gao, Zhixian, Lin Chen, Nong Xiao, et al.. (2018). Degraded Synergistic Recruitment of sEMG Oscillations for Cerebral Palsy Infants Crawling. Frontiers in Neurology. 9. 760–760. 10 indexed citations

20.

Hou, Wensheng, et al.. (2011). Changes in spatial distribution of flexor digitorum superficialis muscle activity is correlated to finger's action. PubMed. 36. 4108–4111. 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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