Fangxu Xing

1.4k total citations · 1 hit paper
75 papers, 872 citations indexed

About

Fangxu Xing is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fangxu Xing has authored 75 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fangxu Xing's work include Voice and Speech Disorders (19 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (16 papers). Fangxu Xing is often cited by papers focused on Voice and Speech Disorders (19 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (16 papers). Fangxu Xing collaborates with scholars based in United States, South Korea and Hong Kong. Fangxu Xing's co-authors include Jonghye Woo, Georges El Fakhri, Xiaofeng Liu, Jerry L. Prince, Maureen Stone, Je‐Won Kang, Junghoon Lee, C.‐C. Jay Kuo, Maureen Stone and Emi Z. Murano and has published in prestigious journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Fangxu Xing

69 papers receiving 870 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives

2022 142 citations Xiaofeng Liu, Fangxu Xing et al. APSIPA Transactions on Signal and Information Processing profile →

Peers

Fangxu Xing

CVPR

RNMI

PHYSI

Svitlana Zinger Netherlands

Jonghye Woo United States

Shan Yang Switzerland

Sune Darkner Denmark

Yingying Zhu China

Andrzej Skalski Poland

Bikesh Kumar Singh India

Ahmed Elazab China

Constantinos Loukas Greece

Ewa Piętka Poland

Svitlana Zinger Netherlands

Fangxu Xing

201 ×0.6

472 ×1.5

CVPR

293 ×1.1

RNMI

111 ×1.1

28 ×0.3

PHYSI

Citations per year, relative to Fangxu Xing Fangxu Xing (= 1×) peers Svitlana Zinger

Countries citing papers authored by Fangxu Xing

Since Specialization

Citations

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

Fields of papers citing papers by Fangxu Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxu Xing

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

All Works

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20 of 20 papers shown

Zhuo, Yue, Arnaud Beddok, Laura Rozenblum, et al.. (2024). The role of 18F-FDG PET in minimizing variability in gross tumor volume delineation of soft tissue sarcomas. Radiotherapy and Oncology. 194. 110186–110186. 1 indexed citations

Xing, Fangxu, Aaron Carass, Jiachen Zhuo, et al.. (2023). Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging. Journal of Speech Language and Hearing Research. 66(2). 513–526. 3 indexed citations

Perry, Jamie L., Fangxu Xing, David P. Kuehn, et al.. (2023). Preliminary Development of an MRI Atlas for Application to Cleft Care: Findings and Future Recommendations. The Cleft Palate-Craniofacial Journal. 61(11). 1912–1918. 5 indexed citations

Li, Yudu, Ryan Shosted, Fangxu Xing, et al.. (2023). Optimization of 3D dynamic speech MRI: Poisson‐disc undersampling and locally higher‐rank reconstruction through partial separability model with regional optimized temporal basis. Magnetic Resonance in Medicine. 91(1). 61–74. 2 indexed citations

Liu, Xiaofeng, et al.. (2023). Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI. Lecture notes in computer science. 14221. 46–56. 5 indexed citations

Liu, Xiaofeng, Fangxu Xing, Jerry L. Prince, et al.. (2023). Synthesizing audio from tongue motion during speech using tagged MRI via transformer. PubMed. 29. 31–31.

Xing, Fangxu, et al.. (2023). Quantifying velopharyngeal motion variation in speech sound production using an audio-informed dynamic MRI atlas. PubMed. 12464. 103–103.

Liu, Xiaofeng, Fangxu Xing, Jerry L. Prince, et al.. (2022). Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator. Lecture notes in computer science. 13436. 376–386.

Liu, Xiaofeng, Fangxu Xing, C.‐C. Jay Kuo, et al.. (2022). Unsupervised Black-Box Model Domain Adaptation for Brain Tumor Segmentation. Frontiers in Neuroscience. 16. 837646–837646. 8 indexed citations

10.

Liu, Xiaofeng, Fangxu Xing, Nadya Shusharina, et al.. (2022). ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training. Lecture notes in computer science. 13435. 66–76. 9 indexed citations

11.

Liu, Xiaofeng, et al.. (2022). Variational inference for quantifying inter-observer variability in segmentation of anatomical structures. PubMed. 12032. 55–55. 3 indexed citations

12.

Liu, Xiaofeng, et al.. (2022). Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives. APSIPA Transactions on Signal and Information Processing. 11(1). 1–51. 142 indexed citations breakdown →

13.

Liu, Xiaofeng, Zhenhua Guo, Site Li, et al.. (2021). Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 10347–10356. 44 indexed citations

14.

Liu, Xiaofeng, Fangxu Xing, Jerry L. Prince, et al.. (2021). Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis. PubMed. 2021. 1448–1452. 21 indexed citations

15.

Xing, Fangxu, Jerry L. Prince, Maureen Stone, et al.. (2018). Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI. PubMed. 9413. 36–36. 4 indexed citations

16.

Xing, Fangxu, Jerry L. Prince, & Bennett A. Landman. (2016). Investigation of Bias in Continuous Medical Image Label Fusion. PLoS ONE. 11(6). e0155862–e0155862. 1 indexed citations

17.

Lee, Junghoon, Jonghye Woo, Fangxu Xing, et al.. (2014). Semi-automatic segmentation for 3D motion analysis of the tongue with dynamic MRI. Computerized Medical Imaging and Graphics. 38(8). 714–724. 19 indexed citations

18.

Woo, Jonghye, Junghoon Lee, Emi Z. Murano, et al.. (2014). A high-resolution atlas and statistical model of the vocal tract from structural MRI. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 3(1). 47–60. 25 indexed citations

19.

Knutsen, Andrew K., Julie McEntee, Fangxu Xing, et al.. (2014). Improved measurement of brain deformation during mild head acceleration using a novel tagged MRI sequence. Journal of Biomechanics. 47(14). 3475–3481. 51 indexed citations

20.

Xing, Fangxu, et al.. (2011). Statistical fusion of continuous labels: identification of cardiac landmarks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 796206–796206. 8 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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