Miaofei Han

1.3k total citations
16 papers, 481 citations indexed

About

Miaofei Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miaofei Han has authored 16 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miaofei Han's work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). Miaofei Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (4 papers) and COVID-19 diagnosis using AI (4 papers). Miaofei Han collaborates with scholars based in China, South Korea and Australia. Miaofei Han's co-authors include Yaozong Gao, Dinggang Shen, Fei Shan, Zhong Xue, Weiya Shi, Jun Wang, Yuxin Shi, Nannan Shi, Guang Yao and Yiqiang Zhan and has published in prestigious journals such as Nature Communications, IEEE Transactions on Medical Imaging and Medical Physics.

In The Last Decade

Miaofei Han

16 papers receiving 474 citations

Peers

Miaofei Han

RNMI

PRM

CVPR

Saikit Lam Hong Kong

Johannes Hofmanninger Austria

Siu Ki Yu Hong Kong

Atallah Baydoun United States

Yazdan Salimi Switzerland

Azadeh Akhavanallaf Switzerland

Awais Mansoor United States

Maya Galperin-Aizenberg United States

Amirhossein Sanaat Switzerland

Chayanin Nitiwarangkul Thailand

Saikit Lam Hong Kong

Miaofei Han

488 ×1.4

RNMI

133 ×1.0

198 ×1.9

PRM

143 ×1.5

40 ×0.5

CVPR

Citations per year, relative to Miaofei Han Miaofei Han (= 1×) peers Saikit Lam

Countries citing papers authored by Miaofei Han

Since Specialization

Citations

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

Fields of papers citing papers by Miaofei Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaofei Han

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

All Works

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16 of 16 papers shown

Wang, Chong, Zhiming Cui, Junwei Yang, et al.. (2022). BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images. IEEE Transactions on Medical Imaging. 42(4). 1225–1236. 12 indexed citations

Jiang, Hanyu, Yahong Chen, Ting Duan, et al.. (2022). Predicting Genomic Alterations of Phosphatidylinositol-3 Kinase Signaling in Hepatocellular Carcinoma: A Radiogenomics Study Based on Next-Generation Sequencing and Contrast-Enhanced CT. Annals of Surgical Oncology. 29(7). 4552–4564. 10 indexed citations

Han, Miaofei, et al.. (2022). Clinical evaluation of deep learning–based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer. BMC Medical Imaging. 22(1). 123–123. 13 indexed citations

Li, Jinglong, et al.. (2022). Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles. Frontiers in Neuroinformatics. 16. 937891–937891. 4 indexed citations

Shi, Feng, Weigang Hu, Jiaojiao Wu, et al.. (2022). Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy. Nature Communications. 13(1). 6566–6566. 74 indexed citations

Chen, Liyun, Fei Shan, Liming Xia, et al.. (2021). Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging. 21(1). 57–57. 6 indexed citations

Zhou, Juying, Xiaoting Xu, Miaofei Han, et al.. (2021). Deep learning‐based auto‐segmentation of clinical target volumes for radiotherapy treatment of cervical cancer. Journal of Applied Clinical Medical Physics. 23(2). e13470–e13470. 52 indexed citations

Di, Donglin, Feng Shi, Fuhua Yan, et al.. (2020). Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 68. 101910–101910. 54 indexed citations

Shan, Fei, Yaozong Gao, Jun Wang, et al.. (2020). Abnormal lung quantification in chest CT images of COVID‐19 patients with deep learning and its application to severity prediction. Medical Physics. 48(4). 1633–1645. 136 indexed citations

10.

Lin, Zhiyong, et al.. (2019). Segmentation of kidney tumor by multi-resolution VB-nets. University of Minnesota Digital Conservancy (University of Minnesota). 30 indexed citations

11.

Gao, Yaozong, et al.. (2019). Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease. 9351. 32–32. 8 indexed citations

12.

Han, Miaofei, et al.. (2019). Large-scale evaluation of V-Net for organ segmentation in image guided radiation therapy. 9351. 23–23. 7 indexed citations

13.

Han, Miaofei, Guang Yao, Wen‐Hai Zhang, et al.. (2019). Segmentation of CT Thoracic Organs by Multi-resolution VB-nets.. 30 indexed citations

14.

Han, Miaofei, et al.. (2015). Segmentation of organs at risk in CT volumes of head, thorax, abdomen, and pelvis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94133J–94133J. 11 indexed citations

15.

Zhou, Xin, et al.. (2013). Fast filtering techniques in medical image classification and retrieval. CLEF (Working Notes). 3 indexed citations

16.

Zhao, Hongtao, Xijiang Han, Miaofei Han, Lifang Zhang, & Ping Xu. (2010). Preparation and electromagnetic properties of multiwalled carbon nanotubes/Ni composites by γ-irradiation technique. Materials Science and Engineering B. 167(1). 1–5. 31 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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