Shaoting Zhang

15.6k citations

249 papers · 6.8k indexed · 5 hit papers · h-index 39

Impact in

Computer Vision and Pattern Recognition top 0.1%
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
Health Informatics top 0.5%

Papers in ⓘ

Computer Vision and Pattern Recognition 139
- Medical Image Segmentation Techniques 64
- Advanced Neural Network Applications 37
- Advanced Image and Video Retrieval Techniques 33
- Image Retrieval and Classification Techniques 28
Radiology, Nuclear Medicine and Imaging 90
- Radiomics and Machine Learning in Medical Imaging 46
- COVID-19 diagnosis using AI 23

Co-authors: Dimitris Metaxas (48 shared papers)Dimitris Metaxas (50 shared papers)Junzhou Huang (28 shared papers)Xiaofan Zhang (15 shared papers)Guotai Wang (45 shared papers)Kang Li (31 shared papers)Yiqiang Zhan (8 shared papers)Hongsheng Li (11 shared papers)
Journals: Medical Image Analysis (26 papers)IEEE Transactions on Medical Imaging (17 papers)Neurocomputing (8 papers)Pattern Recognition (5 papers)IEEE Journal of Biomedical and Health Informatics (4 papers)
Partner nations: United States China Hong Kong

In The Last Decade

Shaoting Zhang

231 papers receiving 6.6k citations

Hit Papers

5 papers align trajectories log scale

A Comprehensive Survey of Foundation Models in Medicine 2025 · 16 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE Reviews in Biomedical Engineering
2024 Medical Image Analysis
2023 Medical Image Analysis
2022 Medical Image Analysis
2016 Multispectral Deep Neural Networks for Pedestrian Detection

Peers

Countries citing papers authored by Shaoting Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Shaoting Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaoting Zhang, 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 Shaoting Zhang Line = papers co-authored together Shaoting Zhang 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 249 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Multispectral Deep Neural Networks for Pedestrian Detection Jingjing Liu, Shaoting Zhang, Shu Wang, Dimitris Metaxas Hit paper breakdown →	2016	340
2	A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images IEEE Transactions on Medical Imaging ·Guotai Wang, Xinglong Liu, Chaoping Li, Zhiyong Xu, Jiugen Ruan, Haifeng Zhu, Tao Meng, Kang Li, Ning Huang, Shaoting Zhang	2020	329
3	TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Medical Image Analysis ·Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lü, Alan Yuille, Yuyin Zhou Hit paper breakdown →	2024	287
4	Efficient MR image reconstruction for compressed MR imaging Medical Image Analysis ·Junzhou Huang, Shaoting Zhang, Dimitris Metaxas	2011	231
5	Image retrieval via probabilistic hypergraph ranking Yuchi Huang, Qingshan Liu, Shaoting Zhang, Dimitris Metaxas	2010	211
6	SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed Elgammal, Dimitris Metaxas	2016	206
7	Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency Medical Image Analysis ·Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris Metaxas, Shaoting Zhang Hit paper breakdown →	2022	194
8	Towards robust and effective shape modeling: Sparse shape composition Medical Image Analysis ·Shaoting Zhang, Yiqiang Zhan, M. Ali Akber Dewan, Junzhou Huang, Dimitris Metaxas, Xiang Sean Zhou	2011	188
9	Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval IEEE Transactions on Medical Imaging ·Xiaofan Zhang, Wei Liu, Murat Dündar, Sunil Badve, Shaoting Zhang	2014	157
10	Large-scale retrieval for medical image analytics: A comprehensive review Medical Image Analysis ·Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang	2017	146
11	Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model Yu Xiang, Junzhou Huang, Shaoting Zhang, Yan Wang, Dimitris Metaxas	2013	145
12	Embedding Label Structures for Fine-Grained Feature Representation Xiaofan Zhang, Feng Zhou, Yuanqing Lin, Shaoting Zhang	2016	141
13	Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition IEEE Transactions on Medical Imaging ·Zhennan Yan, Yiqiang Zhan, Zhigang Peng, Shu Liao, Yoshihisa Shinagawa, Shaoting Zhang, Dimitris Metaxas, Xiang Sean Zhou	2016	137
14	Automatic image annotation using group sparsity Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Yu, Hongsheng Li, Dimitris Metaxas	2010	134
15	Query Specific Rank Fusion for Image Retrieval IEEE Transactions on Pattern Analysis and Machine Intelligence ·Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, Dimitris Metaxas	2014	119
16	Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks Neurocomputing ·Xiaodan Sui, Yuanjie Zheng, Benzheng Wei, Hongsheng Bi, Jianfeng Wu, Xuemei Pan, Yilong Yin, Shaoting Zhang	2017	111
17	Deformable segmentation via sparse representation and dictionary learning Medical Image Analysis ·Shaoting Zhang, Yiqiang Zhan, Dimitris Metaxas	2012	109
18	On the challenges and perspectives of foundation models for medical image analysis Medical Image Analysis ·Shaoting Zhang, Dimitris Metaxas Hit paper breakdown →	2023	105
19	Learning Binary Codes for Maximum Inner Product Search Fumin Shen, Wei Liu, Shaoting Zhang, Yang Yang, Heng Tao Shen	2015	103
20	Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval IEEE Transactions on Biomedical Engineering ·Menglin Jiang, Shaoting Zhang, Hongsheng Li, Dimitris Metaxas	2014	85

About Shaoting Zhang

Shaoting Zhang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Biomedical Engineering and Computational Mechanics, having authored 249 papers that have together received 6.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (64 papers), AI in cancer detection (54 papers), Radiomics and Machine Learning in Medical Imaging (46 papers), Advanced Neural Network Applications (37 papers), Advanced Image and Video Retrieval Techniques (33 papers), Image Retrieval and Classification Techniques (28 papers), COVID-19 diagnosis using AI (23 papers) and Medical Imaging and Analysis (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Health Informatics (177 citations), Radiology, Nuclear Medicine and Imaging (2.1k citations), Artificial Intelligence (2.2k citations) and Media Technology (477 citations). Shaoting Zhang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Dimitris Metaxas, Dimitris Metaxas, Junzhou Huang, Xiaofan Zhang, Guotai Wang, Kang Li, Yiqiang Zhan, Hongsheng Li, Wei Liu and Jingjing Liu. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Neurocomputing, Pattern Recognition and IEEE Journal of Biomedical and Health Informatics.

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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