Daguang Xu

15.9k total citations · 4 hit papers
61 papers, 4.2k citations indexed

About

Daguang Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daguang Xu has authored 61 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daguang Xu's work include Advanced Neural Network Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Optical Coherence Tomography Applications (10 papers). Daguang Xu is often cited by papers focused on Advanced Neural Network Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Optical Coherence Tomography Applications (10 papers). Daguang Xu collaborates with scholars based in United States, United Kingdom and Hong Kong. Daguang Xu's co-authors include Holger R. Roth, Dong Yang, Vishwesh Nath, Ali Hatamizadeh, Bennett A. Landman, Yucheng Tang, Andriy Myronenko, Wenqi Li, Ziyue Xu and Alan Yuille and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Urology and Optics Letters.

In The Last Decade

Daguang Xu

57 papers receiving 4.2k citations

Hit Papers

4 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.

UNETR: Transformers for 3D Medical Image Segmentation

2022 1.4k citations Ali Hatamizadeh, Yucheng Tang et al. profile →
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

2022 372 citations Yucheng Tang, Dong Yang et al. profile →
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

2020 288 citations Ling Zhang, Xiaosong Wang et al. IEEE Transactions on Medical Imaging profile →
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

2021 176 citations Dong Yang, Ziyue Xu et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daguang Xu United States	28	1.9k	1.9k	1.8k	681	609	61	4.2k
Guotai Wang China	25	1.3k 0.7×	1.8k 1.0×	1.7k 1.0×	637 0.9×	593 1.0×	96	3.8k
Wenqi Li China	23	1.9k 1.0×	2.1k 1.1×	1.9k 1.1×	715 1.0×	703 1.2×	65	5.2k
Dong Yang United States	25	1.3k 0.6×	1.7k 0.9×	1.7k 1.0×	870 1.3×	556 0.9×	75	3.8k
Su Ruan France	33	1.4k 0.7×	2.0k 1.1×	2.0k 1.2×	637 0.9×	842 1.4×	171	5.0k
Konstantinos Kamnitsas United Kingdom	17	991 0.5×	1.8k 0.9×	1.5k 0.9×	637 0.9×	971 1.6×	32	3.8k
Leonardo Rundo Italy	33	1.2k 0.6×	1.0k 0.6×	1.4k 0.8×	423 0.6×	518 0.9×	102	3.3k
Yaozong Gao United States	37	1.2k 0.6×	1.8k 1.0×	2.2k 1.3×	1.0k 1.5×	589 1.0×	124	4.5k
Spyridon Bakas United States	27	1.5k 0.8×	1.4k 0.7×	2.2k 1.3×	539 0.8×	1.4k 2.2×	129	4.5k
Dong Nie United States	31	1.0k 0.5×	1.7k 0.9×	1.9k 1.1×	778 1.1×	518 0.9×	85	3.9k
Bernhard Kainz United Kingdom	24	1.1k 0.6×	1.5k 0.8×	1.5k 0.8×	521 0.8×	262 0.4×	91	4.0k

Countries citing papers authored by Daguang Xu

Since Specialization

Citations

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

Fields of papers citing papers by Daguang Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daguang Xu

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

Lay, Nathan, Dong Yang, Jesse Tetreault, et al.. (2025). Assessing the Impact of Transition and Peripheral Zone PSA Densities Over Whole‐Gland PSA Density for Prostate Cancer Detection on Multiparametric MRI. The Prostate. 85(6). 612–624. 3 indexed citations

Zhou, Tiancheng, Dong Yang, Kaleb Smith, et al.. (2025). From image to report: automating lung cancer screening interpretation and reporting with vision-language models. Journal of Biomedical Informatics. 171. 104931–104931.

He, Yufan, Yucheng Tang, Andriy Myronenko, et al.. (2025). VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. 20863–20873. 7 indexed citations

Murray, Benjamin, Richard Brown, Eric Kerfoot, et al.. (2024). Lazy Resampling: Fast and information preserving preprocessing for deep learning. Computer Methods and Programs in Biomedicine. 257. 108422–108422. 1 indexed citations

Sun, Jingwei, Ang Li, Holger R. Roth, et al.. (2024). Federated Black-box Prompt Tuning System for Large Language Models on the Edge. 1775–1777. 1 indexed citations

Diaz‐Pinto, Andres, Vishwesh Nath, Yucheng Tang, et al.. (2024). MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Analysis. 95. 103207–103207. 36 indexed citations

Hatamizadeh, Ali, Hongxu Yin, Pavlo Molchanov, et al.. (2023). Do Gradient Inversion Attacks Make Federated Learning Unsafe?. IEEE Transactions on Medical Imaging. 42(7). 2044–2056. 64 indexed citations

Mehralivand, Sherif, Dong Yang, Stephanie A. Harmon, et al.. (2022). Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI. Abdominal Radiology. 47(4). 1425–1434. 29 indexed citations

Yang, Dong, Ziyue Xu, Wenqi Li, et al.. (2021). Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Analysis. 70. 101992–101992. 176 indexed citations breakdown →

10.

He, Yufan, Dong Yang, Holger R. Roth, Can Zhao, & Daguang Xu. (2021). DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. 5837–5846. 54 indexed citations

11.

Xia, Yingda, Dong Yang, Zhiding Yu, et al.. (2020). Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Analysis. 65. 101766–101766. 163 indexed citations

12.

Nath, Vishwesh, Dong Yang, Bennett A. Landman, Daguang Xu, & Holger R. Roth. (2020). Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Transactions on Medical Imaging. 40(10). 2534–2547. 49 indexed citations

13.

Zhang, Ling, Xiaosong Wang, Dong Yang, et al.. (2020). Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Transactions on Medical Imaging. 39(7). 2531–2540. 288 indexed citations breakdown →

14.

Zhang, Yixiao, Xiaosong Wang, Ziyue Xu, et al.. (2020). When Radiology Report Generation Meets Knowledge Graph. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12910–12917. 196 indexed citations

15.

Taghanaki, Saeid Asgari, Yefeng Zheng, S. Kevin Zhou, et al.. (2019). Combo loss: Handling input and output imbalance in multi-organ segmentation. Computerized Medical Imaging and Graphics. 75. 24–33. 16 indexed citations

16.

Xu, Daguang, Yong Huang, & Jin U. Kang. (2014). Compressive sensing spectral domain optical coherence tomography with dispersion compensation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8949. 89490N–89490N. 3 indexed citations

17.

Xu, Daguang, Yong Huang, & Jin U. Kang. (2014). Volumetric (3D) compressive sensing spectral domain optical coherence tomography. Biomedical Optics Express. 5(11). 3921–3921. 19 indexed citations

18.

Xu, Daguang, Yong Huang, & Jin U. Kang. (2013). Real-time compressive sensing spectral domain optical coherence tomography. Optics Letters. 39(1). 76–76. 31 indexed citations

19.

Xu, Daguang, Namrata Vaswani, Yong Huang, & Jin U. Kang. (2012). Modified compressive sensing optical coherence tomography with noise reduction. Optics Letters. 37(20). 4209–4209. 35 indexed citations

20.

Xu, Daguang, Yuan Cao, & Damianos Karakos. (2011). Description of the JHU System Combination Scheme for WMT 2011. Workshop on Statistical Machine Translation. 171–176. 6 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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