Hao Dang

539 total citations
30 papers, 433 citations indexed

About

Hao Dang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hao Dang has authored 30 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hao Dang's work include Medical Imaging Techniques and Applications (23 papers), Radiation Dose and Imaging (17 papers) and Advanced X-ray and CT Imaging (17 papers). Hao Dang is often cited by papers focused on Medical Imaging Techniques and Applications (23 papers), Radiation Dose and Imaging (17 papers) and Advanced X-ray and CT Imaging (17 papers). Hao Dang collaborates with scholars based in United States, China and Germany. Hao Dang's co-authors include J. Webster Stayman, Jeffrey H. Siewerdsen, Wojciech Zbijewski, Alejandro Sisniega, Nafi Aygün, Vassilis E. Koliatsos, David H. Foos, J. H. Siewerdsen, Yifu Ding and J. Yorkston and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Hao Dang

29 papers receiving 427 citations

Peers

Hao Dang

RNMI

RADIA

CVPR

PRM

Valerio Fortunati Netherlands

Masahiro Kusakabe Japan

K. Wiesent Germany

Günter Lauritsch Germany

Marcus Brehm Germany

Tadanori Takata Japan

Katrien Van Slambrouck Belgium

C S Moore United Kingdom

Julien G. Ott Switzerland

Johannes Simon Germany

Valerio Fortunati Netherlands

Hao Dang

207 ×0.5

RNMI

219 ×0.7

89 ×1.3

RADIA

61 ×1.5

CVPR

39 ×1.2

PRM

Citations per year, relative to Hao Dang Hao Dang (= 1×) peers Valerio Fortunati

Countries citing papers authored by Hao Dang

Since Specialization

Citations

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

Fields of papers citing papers by Hao Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Dang

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

Fan, Li, Long Tian, Tony Jun Huang, et al.. (2025). Development of a low-intensity-noise laser source based on ultra-low-noise photodetectors in the sub-millihertz band. Optics & Laser Technology. 192. 113747–113747. 1 indexed citations

Langers, Alexandra M. J., João Santos‐Antunes, Monique E. van Leerdam, et al.. (2025). Local recurrence rates of horizontal margin-positive en bloc endoscopic submucosal dissection of colorectal neoplasia: a meta-analysis. Gastrointestinal Endoscopy. 102(6). 799–810.e19.

Layman, Rick R., Kirsten Boedeker, Hao Dang, et al.. (2024). AAPM Task Group Report 299: Quality control in multi‐energy computed tomography. Medical Physics. 51(10). 7012–7037. 5 indexed citations

Dang, Hao, et al.. (2022). A Lightweight Network for Accurate Coronary Artery Segmentation Using X-Ray Angiograms. Frontiers in Public Health. 10. 892418–892418. 25 indexed citations

Dang, Hao, et al.. (2021). PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1579–1584. 11 indexed citations

Zhang, Hao, Grace J. Gang, Hao Dang, & J. Webster Stayman. (2018). Regularization Analysis and Design for Prior-Image-Based X-Ray CT Reconstruction. IEEE Transactions on Medical Imaging. 37(12). 2675–2686. 16 indexed citations

Lin, Cheng Ting, Hao Zhang, Hao Dang, et al.. (2018). Prospective image quality analysis and control for prior-image-based reconstruction of low-dose CT. PubMed. 14. 80–80. 4 indexed citations

Dang, Hao, J. Webster Stayman, Jennifer Xu, et al.. (2017). Task-based statistical image reconstruction for high-quality cone-beam CT. Physics in Medicine and Biology. 62(22). 8693–8719. 10 indexed citations

Xu, Jennifer, Alejandro Sisniega, Wojciech Zbijewski, et al.. (2016). Technical assessment of a prototype cone‐beam CT system for imaging of acute intracranial hemorrhage. Medical Physics. 43(10). 5745–5757. 19 indexed citations

10.

Xu, Jennifer, Alejandro Sisniega, Wojciech Zbijewski, et al.. (2016). Evaluation of detector readout gain mode and bowtie filters for cone-beam CT imaging of the head. Physics in Medicine and Biology. 61(16). 5973–5992. 15 indexed citations

11.

Pourmorteza, Amir, Hao Dang, J. H. Siewerdsen, & J. Webster Stayman. (2016). Reconstruction of difference in sequential CT studies using penalized likelihood estimation. Physics in Medicine and Biology. 61(5). 1986–2002. 21 indexed citations

12.

Xu, Jennifer, Alejandro Sisniega, Wojciech Zbijewski, et al.. (2016). Modeling and design of a cone-beam CT head scanner using task-based imaging performance optimization. Physics in Medicine and Biology. 61(8). 3180–3207. 26 indexed citations

13.

Dang, Hao, J. Webster Stayman, Alejandro Sisniega, et al.. (2016). Multi-resolution statistical image reconstruction for mitigation of truncation effects: application to cone-beam CT of the head. Physics in Medicine and Biology. 62(2). 539–559. 16 indexed citations

14.

Dang, Hao, Jeffrey H. Siewerdsen, & J. Webster Stayman. (2015). Prospective regularization design in prior-image-based reconstruction. Physics in Medicine and Biology. 60(24). 9515–9536. 13 indexed citations

15.

Sisniega, Alejandro, Wojciech Zbijewski, Jingyan Xu, et al.. (2015). High-fidelity artifact correction for cone-beam CT imaging of the brain. Physics in Medicine and Biology. 60(4). 1415–1439. 71 indexed citations

16.

Dang, Hao, J. Webster Stayman, Alejandro Sisniega, et al.. (2015). Statistical reconstruction for cone-beam CT with a post-artifact-correction noise model: application to high-quality head imaging. Physics in Medicine and Biology. 60(16). 6153–6175. 29 indexed citations

17.

Dang, Hao, Adam Wang, Marc Sussman, J. H. Siewerdsen, & J. Webster Stayman. (2014). dPIRPLE: a joint estimation framework for deformable registration and penalized-likelihood CT image reconstruction using prior images. Physics in Medicine and Biology. 59(17). 4799–4826. 33 indexed citations

18.

Dang, Hao, Jeffrey H. Siewerdsen, & J. Webster Stayman. (2014). Regularization design and control of change admission in prior-image-based reconstruction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 90330O–90330O. 4 indexed citations

19.

Stayman, J. Webster, Hao Dang, Yifu Ding, & Jeffrey H. Siewerdsen. (2013). PIRPLE: a penalized-likelihood framework for incorporation of prior images in CT reconstruction. Physics in Medicine and Biology. 58(21). 7563–7582. 48 indexed citations

20.

Dang, Hao, Yoshito Otake, Sebastian Schäfer, et al.. (2012). Robust methods for automatic image‐to‐world registration in cone‐beam CT interventional guidance. Medical Physics. 39(10). 6484–6498. 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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