Hao Han

1.3k total citations
37 papers, 965 citations indexed

About

Hao Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology. According to data from OpenAlex, Hao Han has authored 37 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Biomedical Engineering and 8 papers in Oncology. Recurrent topics in Hao Han's work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Hao Han is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (12 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Hao Han collaborates with scholars based in United States, China and Czechia. Hao Han's co-authors include Zhengrong Liang, William H. Moore, Bowen Song, Lihong Li, Fangfang Han, Wei Zhu, Hongbing Lu, Christopher Wong, Nora D. Volkow and Millard Jayne and has published in prestigious journals such as PLoS ONE, International Journal of Radiation Oncology*Biology*Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

Hao Han

35 papers receiving 937 citations

Peers

Hao Han

RNMI

PRM

Tracy S. Nolan United States

Randy Summers Canada

Jan Freyberg United States

Jennifer L. Cuzzocreo United States

Katrien Jansen Belgium

Charles Huang United States

Emi Z. Murano United States

Bernd Taschler United Kingdom

Suresh Joel United States

Tracy S. Nolan United States

Hao Han

405 ×0.8

RNMI

60 ×0.2

PRM

67 ×0.3

90 ×0.6

18 ×0.1

Citations per year, relative to Hao Han Hao Han (= 1×) peers Tracy S. Nolan

Countries citing papers authored by Hao Han

Since Specialization

Citations

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

Fields of papers citing papers by Hao Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Han

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

Han, Hao. (2025). Adoption of K-means clustering algorithm in smart city security analysis and mythical experience analysis of urban image. PLoS ONE. 20(3). e0319620–e0319620. 1 indexed citations

Li, Ran, Yi‐Chia Wu, X. Shen, et al.. (2024). Biomimetic periosteum-bone scaffolds with codelivery of BMP-2 and PDGF-BB for skull repair. Bone. 190. 117315–117315. 6 indexed citations

Lu, Yao, Yuan Xue, Hao Han, Xiaoli Zhang, & Hai‐Yang Li. (2024). Imaging of acute aortic dissection by [18F]AlF-NOTA-FAPI PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 52(5). 1620–1621. 2 indexed citations

Ma, Lifeng, et al.. (2023). Squeeze Film Effect and Its Influence on the Lubrication Characteristics of Slipper Oil Film under Pressure Pulse. Shock and Vibration. 2023. 1–12. 4 indexed citations

Han, Hao, Hao Gao, & Lei Xing. (2017). Low-dose 4D cone-beam CT via joint spatiotemporal regularization of tensor framelet and nonlocal total variation. Physics in Medicine and Biology. 62(16). 6408–6427. 14 indexed citations

Han, Hao, et al.. (2016). Estimation of Tissue Mixture Perfusions Using Arterial Spin Labeled Magnetic Resonance Imaging. International Journal of Radiation Oncology*Biology*Physics. 96(2). E128–E129. 1 indexed citations

Meng, Jun, Hao Han, & Yushi Luan. (2016). Classifier ensemble selection based on affinity propagation clustering. Journal of Biomedical Informatics. 60. 234–242. 19 indexed citations

Zhang, Hao, Hao Han, Yifan Hu, et al.. (2016). Texture-preserving Bayesian image reconstruction for low-dose CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9783. 97834I–97834I. 2 indexed citations

Zhang, Hao, Jianhua Ma, Jing Wang, et al.. (2015). Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach. Computerized Medical Imaging and Graphics. 43. 26–35. 33 indexed citations

10.

Han, Hao, Lihong Li, Chaijie Duan, et al.. (2015). Detection of colonic polyp candidates with level set-based thickness mapping over the colon wall. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94141F–94141F. 3 indexed citations

11.

Wang, Huafeng, et al.. (2015). Deep Learning for Image Retrieval: What Works and What Doesn't. 1576–1583. 23 indexed citations

12.

Zhang, Hao, Hao Han, Jing Wang, et al.. (2014). Deriving adaptive MRF coefficients from previous normal‐dose CT scan for low‐dose image reconstruction via penalized weighted least‐squares minimization. Medical Physics. 41(4). 41916–41916. 38 indexed citations

13.

Han, Fangfang, Huafeng Wang, Guopeng Zhang, et al.. (2014). Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules. Journal of Digital Imaging. 28(1). 99–115. 206 indexed citations

14.

Zhang, Hao, Lihong Li, Hongbin Zhu, et al.. (2014). Integration of 3D scale-based pseudo-enhancement correction and partial volume image segmentation for improving electronic colon cleansing in CT colonograpy. Journal of X-Ray Science and Technology. 22(2). 271–283. 6 indexed citations

15.

Wang, Huafeng, et al.. (2014). Automated polyp measurement based on colon structure decomposition for CT colonography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90350B–90350B. 1 indexed citations

16.

Wang, Gene‐Jack, Nora D. Volkow, Timothy Wigal, et al.. (2013). Long-Term Stimulant Treatment Affects Brain Dopamine Transporter Level in Patients with Attention Deficit Hyperactive Disorder. PLoS ONE. 8(5). e63023–e63023. 101 indexed citations

17.

Han, Hao, Lihong Li, Chaijie Duan, et al.. (2013). A unified EM approach to bladder wall segmentation with coupled level-set constraints. Medical Image Analysis. 17(8). 1192–1205. 23 indexed citations

18.

Zhang, Hao, Yan Liu, Hao Han, et al.. (2013). A comparison study of sinogram- and image-domain penalized re-weighted least-squares approaches to noise reduction for low-dose cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8668. 86683E–86683E. 4 indexed citations

19.

Zhao, Yang, Zhengrong Liang, Hongbin Zhu, et al.. (2013). Bladder wall thickness mapping for magnetic resonance cystography. Physics in Medicine and Biology. 58(15). 5173–5192. 10 indexed citations

20.

Wang, G.‐J., Allan Geliebter, Nora D. Volkow, et al.. (2011). Enhanced Striatal Dopamine Release During Food Stimulation in Binge Eating Disorder. Obesity. 19(8). 1601–1608. 220 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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