Xiaoying Wang

2.6k total citations
135 papers, 1.8k citations indexed

About

Xiaoying Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Xiaoying Wang has authored 135 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Pulmonary and Respiratory Medicine and 19 papers in Oncology. Recurrent topics in Xiaoying Wang's work include MRI in cancer diagnosis (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Advanced MRI Techniques and Applications (15 papers). Xiaoying Wang is often cited by papers focused on MRI in cancer diagnosis (23 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Advanced MRI Techniques and Applications (15 papers). Xiaoying Wang collaborates with scholars based in China, United States and Germany. Xiaoying Wang's co-authors include Erik Rytting, Thomas Kissel, Juliane Nguyen, Xue-xiang Jiang, Yufeng Xu, Jue Zhang, Xiaodong Zhang, Shuai Ma, Despoina Daskalaki and Luca Milone and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Xiaoying Wang

126 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoying Wang China 22 615 533 303 274 230 135 1.8k
Seung Hwan Moon South Korea 27 576 0.9× 809 1.5× 266 0.9× 395 1.4× 318 1.4× 128 2.3k
So Yeon Lee South Korea 30 352 0.6× 485 0.9× 1.1k 3.5× 137 0.5× 257 1.1× 218 2.9k
Haiyang Wu China 23 311 0.5× 144 0.3× 287 0.9× 240 0.9× 462 2.0× 77 1.7k
Yubo Liu China 17 172 0.3× 497 0.9× 183 0.6× 176 0.6× 138 0.6× 69 1.3k
Kun Sun China 25 437 0.7× 477 0.9× 438 1.4× 79 0.3× 824 3.6× 217 2.4k
Hamid Abdollahi Iran 27 664 1.1× 1.5k 2.9× 323 1.1× 384 1.4× 396 1.7× 93 2.6k
Xiao Zhang China 25 180 0.3× 375 0.7× 95 0.3× 228 0.8× 500 2.2× 99 2.4k
Hsuan‐Yu Chen Taiwan 22 512 0.8× 104 0.2× 156 0.5× 431 1.6× 318 1.4× 83 1.8k
Xiaoping Xu China 30 322 0.5× 454 0.9× 254 0.8× 650 2.4× 745 3.2× 189 3.0k

Countries citing papers authored by Xiaoying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Wang. A scholar is included among the top collaborators of Xiaoying 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 Xiaoying Wang. Xiaoying 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.
Li, Ning, et al.. (2024). Spatial-temporal graph Transformer for object tracking against noise spoofing interference. Information Sciences. 678. 120936–120936. 2 indexed citations
2.
Zhu, Yifeng, Kexin Wang, Xiaodong Zhang, et al.. (2024). A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults. Journal of Applied Clinical Medical Physics. 25(3). e14282–e14282. 3 indexed citations
3.
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Xie, Tingting, Yongbin Li, Xiang Liu, et al.. (2023). Deep learning for fully automated segmentation and volumetry of Couinaud liver segments and future liver remnants shown with CT before major hepatectomy: a validation study of a predictive model. Quantitative Imaging in Medicine and Surgery. 13(5). 3088–3103. 6 indexed citations
5.
Fu, Jiaqi, Xiaoying Wang, Bowen Tao, et al.. (2023). A data-driven yield criterion for porous ductile single crystals containing spherical voids via physics-informed neural networks. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2278). 8 indexed citations
6.
Sun, Zhaonan, Yingpu Cui, Xiang Liu, et al.. (2023). Deep‐Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi‐Parametric MRI. Journal of Magnetic Resonance Imaging. 58(4). 1067–1081. 23 indexed citations
7.
Han, Jing, et al.. (2023). CFNet: Head detection network based on multi‐layer feature fusion and attention mechanism. IET Image Processing. 17(7). 2032–2042. 1 indexed citations
8.
9.
Wang, Ke, et al.. (2022). Automatic quantitative evaluation of normal pancreas based on deep learning in a Chinese adult population. Abdominal Radiology. 47(3). 1082–1090. 3 indexed citations
10.
11.
Zhang, Xiaodong, et al.. (2022). Utility of diffusion weighted imaging-based radiomics nomogram to predict pelvic lymph nodes metastasis in prostate cancer. BMC Medical Imaging. 22(1). 190–190. 9 indexed citations
12.
13.
Liu, Xiang, Cen Wang, Jing Liu, et al.. (2022). Automatic measurement of the patellofemoral joint parameters in the Laurin view: a deep learning–based approach. European Radiology. 33(1). 566–577. 5 indexed citations
14.
Wang, Rui, Zhiyong Lin, Xuedong Yang, et al.. (2021). Noninvasive Evaluation of Renal Hypoxia by Multiparametric Functional MRI in Early Diabetic Kidney Disease. Journal of Magnetic Resonance Imaging. 55(2). 518–527. 15 indexed citations
15.
Han, Chao, Shuai Ma, Xiang Liu, et al.. (2021). Radiomics Models Based on Apparent Diffusion Coefficient Maps for the Prediction of High‐Grade Prostate Cancer at Radical Prostatectomy: Comparison With Preoperative Biopsy. Journal of Magnetic Resonance Imaging. 54(6). 1892–1901. 26 indexed citations
16.
Zhang, Jiabin, Yaqiong Zhu, Feihong Dong, et al.. (2021). Ultrasound microvasculature imaging with entropy-based radiality super-resolution (ERSR). Physics in Medicine and Biology. 66(21). 215012–215012. 2 indexed citations
17.
Liu, Xiang, Dijia Wu, Huihui Xie, et al.. (2021). Clinical evaluation of AI software for rib fracture detection and its impact on junior radiologist performance. Acta Radiologica. 63(11). 1535–1545. 9 indexed citations
18.
Cui, Yingpu, Zhaonan Sun, Shuai Ma, et al.. (2020). Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods. Molecular Imaging and Biology. 23(3). 436–445. 44 indexed citations
19.
20.
Zhao, Kai, et al.. (2019). A Lightweight U-Net Architecture Multi-Scale Convolutional Network for Pediatric Hand Bone Segmentation in X-Ray Image. IEEE Access. 7. 68436–68445. 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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