Xiaofeng Yang

12.6k total citations · 5 hit papers
569 papers, 8.6k citations indexed

About

Xiaofeng Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Xiaofeng Yang has authored 569 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 289 papers in Radiology, Nuclear Medicine and Imaging, 179 papers in Biomedical Engineering and 176 papers in Radiation. Recurrent topics in Xiaofeng Yang's work include Advanced Radiotherapy Techniques (163 papers), Medical Imaging Techniques and Applications (148 papers) and Radiomics and Machine Learning in Medical Imaging (134 papers). Xiaofeng Yang is often cited by papers focused on Advanced Radiotherapy Techniques (163 papers), Medical Imaging Techniques and Applications (148 papers) and Radiomics and Machine Learning in Medical Imaging (134 papers). Xiaofeng Yang collaborates with scholars based in United States, China and Canada. Xiaofeng Yang's co-authors include Walter J. Curran, Yang Lei, Tonghe Wang, Tian Liu, Yabo Fu, Pretesh Patel, Hui Mao, Tian Liu, Tian Liu and Baowei Fei and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xiaofeng Yang

518 papers receiving 8.5k citations

Hit Papers

5 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 learning in medical image registration: a review

2020 420 citations Yabo Fu, Yang Lei et al. Physics in Medicine and Biology profile →
Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography

2019 200 citations Yang Lei, Tonghe Wang et al. Medical Physics profile →
A review of deep learning based methods for medical image multi-organ segmentation

2021 151 citations Yabo Fu, Yang Lei et al. profile →
Polyp-SAM: transfer SAM for polyp segmentation

2024 50 citations Xiaofeng Yang et al. profile →
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

2024 49 citations Xiaofeng Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaofeng Yang United States	45	5.0k	2.4k	2.2k	2.1k	1.7k	569	8.6k
Yang Lei United States	39	3.6k 0.7×	1.8k 0.7×	1.7k 0.8×	1.8k 0.8×	1.0k 0.6×	379	6.2k
Habib Zaidi Switzerland	62	11.8k 2.3×	4.8k 2.0×	3.1k 1.4×	935 0.4×	2.4k 1.4×	628	14.2k
Jing Wang China	42	4.6k 0.9×	3.1k 1.3×	1.3k 0.6×	1.1k 0.5×	941 0.5×	392	7.1k
Hiroshi Fujita Japan	46	4.9k 1.0×	2.0k 0.8×	358 0.2×	1.8k 0.9×	2.2k 1.3×	423	9.2k
W. Paul Segars United States	40	5.9k 1.2×	3.1k 1.3×	1.8k 0.9×	543 0.3×	1.4k 0.8×	250	7.1k
Aaron Fenster Canada	62	5.5k 1.1×	4.4k 1.8×	2.2k 1.0×	3.0k 1.4×	5.4k 3.1×	538	13.4k
Yang Chen China	44	4.1k 0.8×	3.3k 1.4×	327 0.2×	3.0k 1.4×	534 0.3×	360	8.0k
Tonghe Wang United States	37	3.4k 0.7×	1.7k 0.7×	1.6k 0.7×	1.5k 0.7×	895 0.5×	222	4.9k
Qian Wang China	42	3.2k 0.6×	1.2k 0.5×	356 0.2×	2.4k 1.1×	561 0.3×	308	7.0k
Ivana Išgum Netherlands	48	4.4k 0.9×	2.5k 1.1×	244 0.1×	1.3k 0.6×	1.6k 0.9×	196	7.5k

Countries citing papers authored by Xiaofeng Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofeng Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Yang. A scholar is included among the top collaborators of Xiaofeng Yang 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 Xiaofeng Yang. Xiaofeng Yang 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

Li, Zhi, et al.. (2025). Bidirectional heterogeneous synergistic fault detection using multiple local data in large-scale industrial systems. Control Engineering Practice. 157. 106251–106251.

Li, Rui, et al.. (2025). MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting. Physics in Medicine and Biology. 70(12). 125008–125008. 3 indexed citations

Zhou, Jun, Justin Roper, Anees Dhabaan, et al.. (2025). Photon-counting CT in cancer radiotherapy: technological advances and clinical benefits. Physics in Medicine and Biology. 70(10). 10TR01–10TR01. 2 indexed citations

Li, Yaoyao, Jin Chen, Yuzhao Ma, Yanjun Li, & Xiaofeng Yang. (2024). Metal-organic framework-derived hierarchical Ag/Ti3C2Tx/Co/C nanocomposite for enhanced electromagnetic wave absorption. Materials Today Communications. 41. 110483–110483. 2 indexed citations

Jiang, Qingchao, et al.. (2024). Mutual stacked autoencoder for unsupervised fault detection under complex multi-residual correlations. Advanced Engineering Informatics. 62. 102837–102837. 8 indexed citations

Yang, Xiaofeng, et al.. (2024). Physically-guided temporal diffusion transformer for long-term time series forecasting. Knowledge-Based Systems. 304. 112508–112508. 6 indexed citations

Shah, Jay, et al.. (2024). Respiration-Induced Organ Motion Compensation: A Review. Annals of Biomedical Engineering. 53(2). 271–283. 4 indexed citations

Chang, Chih‐Wei, Richard L. J. Qiu, Tonghe Wang, et al.. (2024). Unsupervised Bayesian generation of synthetic CT from CBCT using patient‐specific score‐based prior. Medical Physics. 52(4). 2238–2246. 1 indexed citations

Hu, Mingzhe, Kailin Yang, Jing Wang, et al.. (2024). MGMT promoter methylation prediction based on multiparametric MRI via vision graph neural network. Journal of Medical Imaging. 11(1). 14503–14503. 1 indexed citations

10.

Wynne, Jacob, Richard L. J. Qiu, Tonghe Wang, et al.. (2024). Deep learning based apparent diffusion coefficient map generation from multi‐parametric MR images for patients with diffuse gliomas. Medical Physics. 52(2). 847–855. 1 indexed citations

11.

Ravikumar, A., et al.. (2024). A metal–phenolic coordination framework nanozyme exhibits dual enzyme mimicking activity and its application is effective for colorimetric detection of biomolecules. Analytical Methods. 16(22). 3530–3538. 10 indexed citations

12.

Lei, Yang, Yifu Ding, Richard L. J. Qiu, et al.. (2023). Hippocampus substructure segmentation using morphological vision transformer learning. Physics in Medicine and Biology. 68(23). 235013–235013. 6 indexed citations

13.

Yuan, Leiming, Xiaofeng Yang, Xiaojing Chen, et al.. (2023). Non-Destructive Measurement of Egg’s Haugh Unit by Vis-NIR with iPLS-Lasso Selection. Foods. 12(1). 184–184. 11 indexed citations

14.

Han, Han, Xiaofeng Yang, Ying Zhao, et al.. (2023). Abstract 504: BPI-472372: a potent and orally bioavailable small molecule inhibitor of CD73 for cancer immunotherapy. Cancer Research. 83(7_Supplement). 504–504. 1 indexed citations

15.

Zhou, Jun, Xiaofeng Yang, Chih‐Wei Chang, et al.. (2021). Dosimetric Uncertainties in Dominant Intraprostatic Lesion Simultaneous Boost Using Intensity Modulated Proton Therapy. Advances in Radiation Oncology. 7(1). 100826–100826. 6 indexed citations

16.

Wu, Jiayi, Jingmin Xin, Xiaofeng Yang, et al.. (2019). Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black‐blood vessel wall MRI. Medical Physics. 46(12). 5544–5561. 32 indexed citations

17.

Liu, Yingzi, Yang Lei, Yinan Wang, et al.. (2019). Evaluation of a deep learning-based pelvic synthetic CT generation technique for MRI-based prostate proton treatment planning. Physics in Medicine and Biology. 64(20). 205022–205022. 58 indexed citations

18.

Lei, Yang, Dong Xu, Zhengyang Zhou, et al.. (2018). High-resolution CT Image Retrieval Using Sparse Convolutional Neural Network. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10573. 1 indexed citations

19.

Cassidy, Richard J., et al.. (2016). Neurovascular bundle–sparing radiotherapy for prostate cancer using MRI-CT registration: A dosimetric feasibility study. Medical dosimetry. 41(4). 339–343. 15 indexed citations

20.

He, Jian, Hua Shi, Jun Chen, et al.. (2015). Correlation between apparent diffusion coefficients and HER2 status in gastric cancers: pilot study. BMC Cancer. 15(1). 749–749. 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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