World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8365
World Ranking
7195
National Ranking
953

Research.com Recognitions

  • 1977 - IEEE Fellow For contributions to graph and network theory.

Overview

Wufan Chen is affiliated with Southern Medical University in China and has contributed extensively to the fields of engineering and medicine. Their research primarily spans radiology, nuclear medicine and imaging, biomedical engineering, mechanics of materials, artificial intelligence, and electrical and electronic engineering.

The scientist's work prominently focuses on topics related to medical imaging, including photoacoustic and ultrasonic imaging, thermography and photoacoustic techniques, advanced MRI techniques and applications, optical imaging and spectroscopy techniques, medical imaging techniques and applications, radiomics and machine learning in medical imaging, and artificial intelligence in cancer detection.

Several notable publications authored by Wufan Chen include:

  • Progress in achieving high-performance piezoresistive and capacitive flexible pressure sensors: A review, 2020, Journal of Material Science and Technology

The research collaborations of Wufan Chen involve several frequent co-authors:

  • Shuangyang Zhang
  • Qi Li
  • Yanqiu Feng
  • Qianjin Feng
  • Zhichao Liang

Wufan Chen has been published multiple times in several reputable venues. The most frequent publication platforms include:

  • IEEE Transactions on Medical Imaging
  • Photoacoustics
  • arXiv (Cornell University)
  • Medical Image Analysis
  • Computer Methods and Programs in Biomedicine

In terms of academic recognition, Wufan Chen holds the title of IEEE Fellow, an award given in 1977 for contributions to graph and network theory.

Best Publications

  • Artifact suppressed dictionary learning for low-dose CT image processing.

    Yang Chen;Luyao Shi;Qianjing Feng;Jiang Yang

  • Sparse-view x-ray CT reconstruction via total generalized variation regularization.

    Shanzhou Niu;Yang Gao;Zhaoying Bian;Jing Huang

  • Low-dose computed tomography image restoration using previous normal-dose scan.

    Jianhua Ma;Jing Huang;Qianjin Feng;Hua Zhang

  • Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation.

    Jun Cheng;Wei Yang;Meiyan Huang;Wei Huang

  • Brain tumor segmentation based on local independent projection-based classification.

    Meiyan Huang;Wei Yang;Yao Wu;Jun Jiang

  • Variance analysis of x-ray CT sinograms in the presence of electronic noise background.

    Jianhua Ma;Zhengrong Liang;Yi Fan;Yan Liu

  • Iterative image reconstruction for cerebral perfusion CT using a pre-contrast scan induced edge-preserving prior

    Jianhua Ma;Hua Zhang;Yang Gao;Jing Huang

  • Bayesian statistical reconstruction for low-dose X-ray computed tomography using an adaptive-weighting nonlocal prior.

    Yang Chen;Dazhi Gao;Cong Nie;Limin Luo

  • Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means.

    Yang Chen;Zhou Yang;Yining Hu;Guanyu Yang

  • Nonlocal Prior Bayesian Tomographic Reconstruction

    Yang Chen;Jianhua Ma;Qianjin Feng;Limin Luo

  • SMU-Net: Saliency-guided Morphology-aware U-Net for Breast Lesion Segmentation in Ultrasound Image

    Zhenyuan Ning;Shengzhou Zhong;Qianjin Feng;Wufan Chen

  • Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain.

    Wei Yang;Yingyin Chen;Yunbi Liu;Liming Zhong

  • A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning

    Yongjie Li;Dezhong Yao;Jonathan Yao;Wufan Chen

  • Novel Approach for 3-D Reconstruction of Coronary Arteries From Two Uncalibrated Angiographic Images

    Jian Yang;Yongtian Wang;Yue Liu;Songyuan Tang

  • Robustness of Radiomic Features in [(11)C]Choline and [(18)F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.

    Lijun Lu;Wenbing Lv;Jun Jiang;Jianhua Ma

  • 3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets.

    Jun Jiang;Yao Wu;Meiyan Huang;Wei Yang

  • Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging

    Jin Liu;Jianhua Ma;Yi Zhang;Yang Chen

  • Denoising of 3D magnetic resonance images by using higher-order singular value decomposition

    Xinyuan Zhang;Zhongbiao Xu;Nan Jia;Wei Yang

  • Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization

    Unknown

  • Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods.

    Yang Chen;Yang Chen;Wufan Chen;Xindao Yin;Xianghua Ye

  • Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features

    Zhenyuan Ning;Jiaxiu Luo;Yong Li;Shuai Han

  • Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images

    Wei Yang;Zhentai Lu;Mei Yu;Meiyan Huang

  • Iterative reconstruction for X-ray computed tomography using prior-image induced nonlocal regularization

    Jerome Z. Liang;Jianhua Ma;Hao Zhang;William Moore

  • Segmenting CT prostate images using population and patient-specific statistics for radiotherapy

    Qianjin Feng;Mark Foskey;Wufan Chen;Dinggang Shen

Frequent Co-Authors

Jianhua Ma
Jianhua Ma Hosei University
Wei Yang
Wei Yang Southern Medical University
Zhengrong Liang
Zhengrong Liang Stony Brook University
Arman Rahmim
Arman Rahmim University of British Columbia
Dinggang Shen
Dinggang Shen ShanghaiTech University
Guorong Wu
Guorong Wu University of North Carolina at Chapel Hill
Pew Thian Yap
Pew Thian Yap University of North Carolina at Chapel Hill
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Huazhong Shu
Huazhong Shu Southeast University
Feng Liu
Feng Liu University of Queensland

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens doors for students with a wide range of academic and financial backgrounds. Many students seek cheap online colleges to manage their tuition costs while still earning a quality degree. Affordability is crucial, especially for those looking to avoid student loan debt.

Admission criteria vary between institutions. Some online colleges that accept 2.0 gpa provide valuable opportunities for students who may not have a high GPA but are motivated to succeed in higher education. This can make a Computer Science degree more accessible to a broader audience.

Career outcomes for online Computer Science degrees are diverse. Accelerated options are available, enabling learners to finish their studies faster. Programs like the accelerated computer science degree online allow you to jumpstart your career in technology and quickly enter the workforce.

Additionally, interdisciplinary fields create exciting new paths. For instance, students often ask, what can you do with an environmental science major? Combining computer science with environmental studies can lead to roles in data analysis, sustainability, and more. Online degrees give you the flexibility to tailor your education to suit your interests and career goals.

Best Scientists Citing Wufan Chen

Trending Scientists

Recently Published Articles