Guotai Wang

8.9k total citations · 5 hit papers
96 papers, 3.8k citations indexed

About

Guotai Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Guotai Wang has authored 96 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 37 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Artificial Intelligence. Recurrent topics in Guotai Wang's work include Medical Image Segmentation Techniques (31 papers), Advanced Neural Network Applications (29 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Guotai Wang is often cited by papers focused on Medical Image Segmentation Techniques (31 papers), Advanced Neural Network Applications (29 papers) and Radiomics and Machine Learning in Medical Imaging (25 papers). Guotai Wang collaborates with scholars based in China, United Kingdom and United States. Guotai Wang's co-authors include Tom Vercauteren, Sébastien Ourselin, Wenqi Li, Michaël Aertsen, Jan Deprest, Shaoting Zhang, Tom Doel, Anna L. David, Premal A. Patel and Rosalind Pratt and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Journal of neurosurgery.

In The Last Decade

Guotai Wang

84 papers receiving 3.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

2018 565 citations Guotai Wang, Michaël Aertsen et al. IEEE Transactions on Medical Imaging profile →
NiftyNet: a deep-learning platform for medical imaging

2018 363 citations Guotai Wang, Sébastien Ourselin et al. profile →
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

2019 355 citations Guotai Wang, Michaël Aertsen et al. Neurocomputing profile →
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

2018 295 citations Guotai Wang, Michaël Aertsen et al. profile →
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

2022 194 citations Xiangde Luo, Guotai Wang et al. Medical Image Analysis profile →

Peers

Countries citing papers authored by Guotai Wang

Since Specialization

Citations

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

Fields of papers citing papers by Guotai Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guotai Wang

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

#	Work	Indexed citations
1	Improving diagnostic accuracy in preoperative glioma classification: performance of knowledge-enhanced large language models compared with radiologists 2025 ·npj Precision Oncology ·Shuang Li, Xin Fang, Ying Jin, Yujiao Deng, (unknown), Bing Wu, (unknown), Guotai Wang, Kang Li, (unknown)	0
2	UniSAL: Unified Semi-supervised Active Learning for histopathological image classification 2025 ·Medical Image Analysis ·(unknown), (unknown), Xin Liao, (unknown), Yan Liu, Shaoting Zhang, Guotai Wang	0
3	An omnidirectional piezoelectric energy harvester coupling vortex-induced vibration and wake galloping 2025 ·Smart Materials and Structures ·Wenhui Li, Guotai Wang, Chongqiu Yang, (unknown), Rujun Song	4
4	IPLC+: SAM-Guided Iterative Pseudo Label Correction for Source-Free Domain Adaptation in Medical Image Segmentation 2025 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), (unknown), Bo Yan, Guotai Wang	0
5	SicTTA: Single image continual test time adaptation for medical image segmentation 2025 ·Medical Image Analysis ·(unknown), Xinya Liu, Guotai Wang, (unknown)	0
6	Domain composition and attention network trained with synthesized unlabeled images for generalizable medical image segmentation 2024 ·Neurocomputing ·(unknown), Ran Gu, Wenjun Liao, Shichuan Zhang, Huijun Yu, Shaoting Zhang, Guotai Wang	0
7	SEMI-CONTRANS: Semi-Supervised Medical Image Segmentation via Multi-Scale Feature Fusion and Cross Teaching of CNN and Transformer 2024 ·Weiren Zhao, (unknown), Guotai Wang	0
8	FPL+: Filtered Pseudo Label-Based Unsupervised Cross-Modality Adaptation for 3D Medical Image Segmentation 2024 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), Guotai Wang, Qiang Yue, Huijun Yu, Kang Li, Shaoting Zhang	8
9	Weakly Supervised Lymph Nodes Segmentation Based on Partial Instance Annotations with Pre-trained Dual-branch Network and Pseudo Label Learning 2024 ·arXiv (Cornell University) ·(unknown), (unknown), Xiangde Luo, Wenjun Liao, Shichuan Zhang, Guotai Wang	1
10	One-Shot Weakly-Supervised Segmentation in 3D Medical Images 2023 ·IEEE Transactions on Medical Imaging ·Wenhui Lei, Qi Su, (unknown), Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang	18
11	A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation 2023 ·Medical Image Analysis ·(unknown), (unknown), (unknown), (unknown), Yuxiang Ye, Yechong Huang, Xin Dou, Kang Li, Guotai Wang, Shaoting Zhang, (unknown)	13
12	HAMIL: High-Resolution Activation Maps and Interleaved Learning for Weakly Supervised Segmentation of Histopathological Images 2023 ·IEEE Transactions on Medical Imaging ·(unknown), Guotai Wang, (unknown), Shaoting Zhang	12
13	S³R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites 2023 ·IEEE Transactions on Medical Imaging ·Jingyang Zhang, Ran Gu, (unknown), Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu	5
14	HMRNet: High and Multi-Resolution Network With Bidirectional Feature Calibration for Brain Structure Segmentation in Radiotherapy 2022 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Guotai Wang, Wenhui Lei, (unknown), (unknown), Shichuan Zhang, Kang Li, Shaoting Zhang	17
15	Learning COVID-19 Pneumonia Lesion Segmentation From Imperfect Annotations via Divergence-Aware Selective Training 2022 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Guotai Wang, Hui Sun, Xiangde Luo, Peng Sun, Kang Li, Qijun Wang, Shaoting Zhang	10
16	Effect of cryogenic thermal cycling on the microstructure and mechanical properties of Zr-based bulk metallic glasses 2022 ·Materials Science and Engineering A ·(unknown), Pingjun Tao, (unknown), Guotai Wang, (unknown), Shenghua Wen, (unknown), Zhenghua Huang, Xuguang Zhu, (unknown), (unknown), Yuanzheng Yang	10
17	Multiview Video-Based 3-D Pose Estimation of Patients in Computer-Assisted Rehabilitation Environment (CAREN) 2022 ·IEEE Transactions on Human-Machine Systems ·(unknown), (unknown), Guotai Wang, (unknown), Ming Shao, Kang Li	14
18	Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning 2022 ·Clinical Chemistry ·Honghua Hu, (unknown), Ting Jiang, (unknown), (unknown), Wenna Liu, (unknown), Kang Li, Guotai Wang	12
19	Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm 2021 ·Scientific Data ·Jonathan Shapey, Aaron Kujawa, Reuben Dorent, Guotai Wang, Alexis Dimitriadis, (unknown), Ian Paddick, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Sotirios Bisdas, Sébastien Ourselin, Tom Vercauteren	48
20	MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning 2021 ·Medical Image Analysis ·Xiangde Luo, Guotai Wang, Tao Song, Jingyang Zhang, Michaël Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang	75

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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