Xiaoyan Wang

2.2k total citations
94 papers, 1.7k citations indexed

About

Xiaoyan Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaoyan Wang has authored 94 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 23 papers in Computer Vision and Pattern Recognition and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaoyan Wang's work include Advancements in Battery Materials (14 papers), Medical Image Segmentation Techniques (12 papers) and Advanced Battery Materials and Technologies (9 papers). Xiaoyan Wang is often cited by papers focused on Advancements in Battery Materials (14 papers), Medical Image Segmentation Techniques (12 papers) and Advanced Battery Materials and Technologies (9 papers). Xiaoyan Wang collaborates with scholars based in China, United States and United Kingdom. Xiaoyan Wang's co-authors include Pietro Andreani, Jian Zhu, Bingan Lu, Ling Fan, Decai Gong, Qingfeng Zhang, Wenjing Xu, Lydia Helena Wong, Sneha A. Kulkarni and Sudip K. Batabyal and has published in prestigious journals such as Advanced Materials, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Xiaoyan Wang

83 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
Xiaoyan Wang China 17 1.3k 386 301 228 224 94 1.7k
S. R. S. Prabaharan India 26 1.4k 1.1× 398 1.0× 710 2.4× 173 0.8× 536 2.4× 73 2.0k
Zhuang Liu China 12 489 0.4× 183 0.5× 205 0.7× 113 0.5× 67 0.3× 37 1.0k
Jianbiao Wang China 24 1.0k 0.8× 403 1.0× 415 1.4× 38 0.2× 52 0.2× 58 1.4k
Hyun Chul Kim South Korea 21 702 0.6× 342 0.9× 215 0.7× 409 1.8× 68 0.3× 117 1.3k
Matthew Ming Fai Yuen Hong Kong 23 626 0.5× 1.0k 2.7× 196 0.7× 560 2.5× 420 1.9× 93 2.4k
Sunwoo Lee South Korea 19 897 0.7× 902 2.3× 118 0.4× 518 2.3× 223 1.0× 107 1.9k
Xiaolei Deng China 21 452 0.4× 435 1.1× 168 0.6× 302 1.3× 115 0.5× 74 1.3k
Guangxu Li China 21 398 0.3× 525 1.4× 299 1.0× 89 0.4× 53 0.2× 139 1.3k

Countries citing papers authored by Xiaoyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Wang. A scholar is included among the top collaborators of Xiaoyan Wang 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 Xiaoyan Wang. Xiaoyan Wang 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.
Zhou, Yimin, Changwei Bi, Jitao Li, et al.. (2025). Machine learning assisted biomimetic flexible SERS sensor from seashells for pesticide classification and concentration prediction. Chemical Engineering Journal. 507. 160813–160813. 16 indexed citations
3.
Wang, Xiaoyan, Xinyu Cui, Zilin Zhang, et al.. (2025). Comparative performance of large language models for patient-initiated ophthalmology consultations. Frontiers in Public Health. 13. 1673045–1673045.
4.
Wang, Xiaoyan, Shenggong He, Zheng Hu, et al.. (2025). Grafting strategy achieving self‐healing polymer/sulfide electrolyte for high‐performance solid‐state lithium–silicon batteries. Rare Metals. 44(10). 7159–7172. 2 indexed citations
5.
Zhu, Yating, et al.. (2024). LGCE-Net: a local and global contextual encoding network for effective and efficient medical image segmentation. Applied Intelligence. 55(1). 3 indexed citations
6.
Ji, Qing, Weiheng Chen, Xiaoping Chen, et al.. (2024). Synergistic Effect of Dual Phases to Improve Lithium Storage Properties of Nb2O5. ACS Applied Materials & Interfaces. 16(6). 7232–7242. 5 indexed citations
7.
Shi, Lulu, et al.. (2024). Health changes from trans-theoretical model-based education in older adults with mild cognitive impairment: A randomized controlled trial. International Journal of Nursing Studies. 162. 104961–104961. 1 indexed citations
8.
Wang, Xiaoyan, et al.. (2023). Optimization of investment strategies through machine learning. Heliyon. 9(5). e16155–e16155. 8 indexed citations
9.
Yuan, Qiang, et al.. (2022). Manual Therapy and Related Interventions for Carpal Tunnel Syndrome: A Systematic Review and Meta-Analysis. Journal of Integrative and Complementary Medicine. 28(12). 919–926. 3 indexed citations
10.
Zhu, Chenglu, Xiaoyan Wang, Shengyong Chen, et al.. (2022). Complex carotid artery segmentation in multi-contrast MR sequences by improved optimal surface graph cuts based on flow line learning. Medical & Biological Engineering & Computing. 60(9). 2693–2706. 3 indexed citations
11.
Lan, Shuqiong, Jianfeng Zhong, & Xiaoyan Wang. (2021). Impact of inkjet printing parameters on the morphology and device performance of organic photovoltaics. Journal of Physics D Applied Physics. 54(46). 465105–465105. 7 indexed citations
12.
Huang, Xiaojie, et al.. (2021). Multi-Sequence MRI Registration of Atherosclerotic Carotid Arteries Based on Cross-Scale Siamese Network. Frontiers in Cardiovascular Medicine. 8. 785523–785523. 1 indexed citations
13.
Hohn, Nuri, Xiaoyan Wang, Shanshan Yin, et al.. (2020). Mesoporous GeOx/Ge/C as a Highly Reversible Anode Material with High Specific Capacity for Lithium-Ion Batteries. ACS Applied Materials & Interfaces. 12(41). 47002–47009. 21 indexed citations
15.
Zhu, Chenglu, Xiaoyan Wang, Zhongzhao Teng, et al.. (2020). Cascaded residual U-net for fully automatic segmentation of 3D carotid artery in high-resolution multi-contrast MR images. Physics in Medicine and Biology. 66(4). 45033–45033. 13 indexed citations
16.
Zhu, Chenglu, et al.. (2018). Automatic centerline extraction of cerebrovascular in 4D CTA based on tubular features. Physics in Medicine and Biology. 63(12). 125014–125014. 3 indexed citations
17.
Zhang, Jianhua, Lei Chen, Xiaoyan Wang, et al.. (2014). Compounding Local Invariant Features and Global Deformable Geometry for Medical Image Registration. PLoS ONE. 9(8). e105815–e105815. 4 indexed citations
18.
Wang, Xiaoyan, et al.. (2013). Reliable RANSAC Using a Novel Preprocessing Model. Computational and Mathematical Methods in Medicine. 2013. 1–5. 3 indexed citations
19.
Guan, Xuehui, et al.. (2011). Novel microstrip square-loop triple-mode bandpass filter for wireless communication. 1–3. 2 indexed citations
20.
Wang, Xiaoyan, et al.. (2010). A Head Pose and Facial Actions Tracking Method Based on Effecient Online Appearance Models ∗. 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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