Wei Yang

5.6k citations

176 papers · 4.2k · 1 hit paper · h-index 33

Impact in

Neurology top 0.5%
- Brain Tumor Detection and Classification
Computer Vision and Pattern Recognition top 0.5%
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques

Papers in

Radiology, Nuclear Medicine and Imaging 67
- Radiomics and Machine Learning in Medical Imaging 32
- Medical Imaging Techniques and Applications 26
Computer Vision and Pattern Recognition 58
- Medical Image Segmentation Techniques 35
- Image Retrieval and Classification Techniques 13
- Advanced Image and Video Retrieval Techniques 12

Co-authors: Qianjin Feng (67 shared papers)Wufan Chen (45 shared papers)Meiyan Huang (18 shared papers)Zhaoqiang Yun (10 shared papers)Ru Yang (3 shared papers)Jun Cheng (2 shared papers)Jun Jiang (13 shared papers)Zhijian Wang (1 shared paper)
Journals: IEEE Transactions on Medical Imaging (10 papers)IEEE Access (8 papers)European Radiology (6 papers)PLoS ONE (6 papers)Medical Image Analysis (5 papers)
Partner nations: China United States Hong Kong

In The Last Decade

Wei Yang

162 papers receiving 4.1k citations

Wei Yang's Hit Papers

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Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition 2015 · 623 citations

Peers

Countries citing papers authored by Wei Yang

Since Specialization

Citations

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

Fields of papers citing papers by Wei Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Yang Line = papers co-authored together Wei Yang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 176 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition PLoS ONE ·Jun Cheng, Wei Huang, Shuangliang Cao, Ru Yang, Wei Yang, Zhaoqiang Yun, Zhijian Wang, Qianjin Feng Hit paper breakdown →	2015	623
2	Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation PLoS ONE ·Jun Cheng, Wei Yang, Meiyan Huang, Wei Huang, Jun Jiang, Yujia Zhou, Ru Yang, Jie Zhao, Yanqiu Feng, Qianjin Feng, Wufan Chen	2016	224
3	Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI European Radiology ·Yuhao Dong, Qianjin Feng, Wei Yang, Zixiao Lu, Chunyan Deng, Lu Zhang, Zhouyang Lian, Jing Liu, Xiaoning Luo, Shufang Pei, Xiaokai Mo, Wenhui Huang, Changhong Liang, Bin Zhang, Shuixing Zhang	2017	207
4	Domain Progressive 3D Residual Convolution Network to Improve Low-Dose CT Imaging IEEE Transactions on Medical Imaging ·Xiangrui Yin, Jean-Louis Coatrieux, Qianlong Zhao, Jin Liu, Wei Yang, Jian Yang, Guotao Quan, Yang Chen, Huazhong Shu, Limin Luo	2019	185
5	Brain Tumor Segmentation Based on Local Independent Projection-Based Classification IEEE Transactions on Biomedical Engineering ·Meiyan Huang, Wei Yang, Yao Wu, Jun Jiang, Wufan Chen, Qianjin Feng	2014	179
6	SpineParseNet: Spine Parsing for Volumetric MR Image by a Two-Stage Segmentation Framework With Semantic Image Representation IEEE Transactions on Medical Imaging ·Shumao Pang, Chunlan Pang, Lei Zhao, Yangfan Chen, Zhihai Su, Yujia Zhou, Meiyan Huang, Wei Yang, Hai Lü, Qianjin Feng	2020	134
7	Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain Medical Image Analysis ·Wei Yang, Yingyin Chen, Yunbi Liu, Liming Zhong, Genggeng Qin, Zhentai Lu, Qianjin Feng, Wufan Chen	2016	95
8	Improving Low-Dose CT Image Using Residual Convolutional Network IEEE Access ·Wei Yang, Huijuan Zhang, Jian Yang, Jiasong Wu, Xiangrui Yin, Yang Chen, Huazhong Shu, Limin Luo, Gouenou Coatrieux, Zhiguo Gui, Qianjin Feng	2017	93
9	Discriminative Feature Representation to Improve Projection Data Inconsistency for Low Dose CT Imaging IEEE Transactions on Medical Imaging ·Jin Liu, Jianhua Ma, Yi Zhang, Yang Chen, Jian Yang, Huazhong Shu, Limin Luo, Gouenou Coatrieux, Wei Yang, Qianjin Feng, Wufan Chen	2017	92
10	Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN IEEE Access ·Yanlin Chen, Haiyan Du, Zhaoqiang Yun, Shuo Yang, Zhenhui Dai, Liming Zhong, Qianjin Feng, Wei Yang	2020	88
11	Denoising of 3D magnetic resonance images by using higher-order singular value decomposition Medical Image Analysis ·Xinyuan Zhang, Zhongbiao Xu, Nan Jia, Wei Yang, Qianjin Feng, Wufan Chen, Yanqiu Feng	2014	82
12	3D brain tumor segmentation in multimodal MR images based on learning population- and patient-specific feature sets Computerized Medical Imaging and Graphics ·Jun Jiang, Yao Wu, Meiyan Huang, Wei Yang, Wufan Chen, Qianjin Feng	2013	80
13	Content-Based Retrieval of Focal Liver Lesions Using Bag-of-Visual-Words Representations of Single- and Multiphase Contrast-Enhanced CT Images Journal of Digital Imaging ·Wei Yang, Zhentai Lu, Mei Yu, Meiyan Huang, Qianjin Feng, Wufan Chen	2012	75
14	Practical intelligent diagnostic algorithm for wearable 12-lead ECG via self-supervised learning on large-scale dataset Nature Communications ·Jiewei Lai, Huixin Tan, Jinliang Wang, Lei Ji, Jun Guo, Baoshi Han, Yajun Shi, Qianjin Feng, Wei Yang	2023	71
15	Subregional Radiomics Analysis of PET/CT Imaging with Intratumor Partitioning: Application to Prognosis for Nasopharyngeal Carcinoma Molecular Imaging and Biology ·Hui Xu, Wenbing Lv, Hui Feng, Dongyang Du, Qingyu Yuan, Quanshi Wang, Zhenhui Dai, Wei Yang, Qianjin Feng, Jianhua Ma, Lijun Lu	2019	64
16	Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET/CT European Radiology ·Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Jun Jiang, Wei Yang, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu	2018	63
17	Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images Molecular Imaging and Biology ·Dongyang Du, Hui Feng, Wenbing Lv, Saeed Ashrafinia, Qingyu Yuan, Quanshi Wang, Wei Yang, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu	2019	60
18	Accuracy of Intravascular Ultrasound-Based Fractional Flow Reserve in Identifying Hemodynamic Significance of Coronary Stenosis Circulation Cardiovascular Interventions ·Wei Yu, Toru Tanigaki, Daixin Ding, Peng Wu, Haiyan Du, Ling Li, Biao Huang, Guanyu Li, Wei Yang, Su Zhang, Fuhua Yan, Munenori Okubo, Bo Xu, Hitoshi Matsuo, William Wijns, Shengxian Tu	2021	58
19	Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma BMC Cancer ·Bin Zhang, Zhouyang Lian, Liming Zhong, Xiao Zhang, Yuhao Dong, Qiuying Chen, Lu Zhang, Xiaokai Mo, Wenhui Huang, Wei Yang, Shuixing Zhang	2020	53
20	Lung Field Segmentation in Chest Radiographs From Boundary Maps by a Structured Edge Detector IEEE Journal of Biomedical and Health Informatics ·Wei Yang, Yunbi Liu, Liyan Lin, Zhaoqiang Yun, Zhentai Lu, Qianjin Feng, Wufan Chen	2017	51

About Wei Yang

Wei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Neurology, having authored 176 papers that have together received 4.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (35 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), Medical Imaging Techniques and Applications (26 papers), Advanced X-ray and CT Imaging (13 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Medical Imaging and Analysis (12 papers) and Brain Tumor Detection and Classification (12 papers). The work is most often cited by research in Neurology (1.2k citations), Computer Vision and Pattern Recognition (1.6k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Health Informatics (52 citations) and Artificial Intelligence (945 citations). Wei Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qianjin Feng, Wufan Chen, Meiyan Huang, Zhaoqiang Yun, Ru Yang, Jun Cheng, Jun Jiang, Zhijian Wang, Shuangliang Cao and Wei Huang. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Access, European Radiology, PLoS ONE and Medical Image Analysis.

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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About Wei Yang

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