Puyang Wang

988 total citations · 1 hit paper
13 papers, 475 citations indexed

About

Puyang Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Puyang Wang has authored 13 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computational Mechanics. Recurrent topics in Puyang Wang's work include Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Puyang Wang is often cited by papers focused on Advanced Neural Network Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). Puyang Wang collaborates with scholars based in United States, China and Netherlands. Puyang Wang's co-authors include Vishal M. Patel, Pengfei Guo, Shanshan Jiang, Jinyuan Zhou, Le Lü, Dazhou Guo, Dakai Jin, Yunxiang Li, Qingde Li and You Zhang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Selected Topics in Signal Processing and Lecture notes in computer science.

In The Last Decade

Puyang Wang

13 papers receiving 468 citations

Hit 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.

LViT: Language Meets Vision Transformer in Medical Image Segmentation

2023 135 citations Zihan Li, Yunxiang Li et al. IEEE Transactions on Medical Imaging profile →

Peers

Puyang Wang

CVPR

RNMI

AI

BE

MT

Neslihan Bayramoğlu Finland

Jianan Chen China

Yeqi Bai Singapore

Weili Shi China

Muzaffer Özbey Türkiye

Dongsheng Jiang China

Junyu Chen United States

Zhi Lu China

Veronika A. Zimmer United Kingdom

Neslihan Bayramoğlu Finland

Puyang Wang

274 ×1.3

CVPR

261 ×1.3

RNMI

343 ×2.1

AI

62 ×0.8

BE

53 ×1.1

MT

Citations per year, relative to Puyang Wang Puyang Wang (= 1×) peers Neslihan Bayramoğlu

Countries citing papers authored by Puyang Wang

Since Specialization

Citations

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

Fields of papers citing papers by Puyang Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puyang Wang

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

13 of 13 papers shown

1.

Wang, Puyang, Dazhou Guo, Dandan Zheng, et al.. (2024). Accurate Airway Tree Segmentation in CT Scans via Anatomy-Aware Multi-Class Segmentation and Topology-Guided Iterative Learning. IEEE Transactions on Medical Imaging. 43(12). 4294–4306. 6 indexed citations

2.

Li, Zihan, Yunxiang Li, Qingde Li, et al.. (2023). LViT: Language Meets Vision Transformer in Medical Image Segmentation. IEEE Transactions on Medical Imaging. 43(1). 96–107. 135 indexed citations breakdown →

3.

Wang, Puyang, et al.. (2022). Pyramid Convolutional RNN for MRI Image Reconstruction. IEEE Transactions on Medical Imaging. 41(8). 2033–2047. 37 indexed citations

4.

Guo, Pengfei, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, & Vishal M. Patel. (2021). Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning. PubMed. 2021. 2423–2432. 111 indexed citations

5.

Guo, Pengfei, Jeya Maria Jose Valanarasu, Puyang Wang, et al.. (2021). Over-and-Under Complete Convolutional RNN for MRI Reconstruction. Lecture notes in computer science. 12906. 13–23. 23 indexed citations

6.

Guo, Pengfei, Puyang Wang, Rajeev Yasarla, et al.. (2020). Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs. IEEE Transactions on Medical Imaging. 40(10). 2832–2844. 15 indexed citations

7.

Valanarasu, Jeya Maria Jose, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, & Vishal M. Patel. (2020). Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data. IEEE Journal of Selected Topics in Signal Processing. 14(6). 1221–1234. 22 indexed citations

8.

Wang, Puyang, Michael J. Vives, Vishal M. Patel, & Ilker Hacihaliloglu. (2020). Robust real-time bone surfaces segmentation from ultrasound using a local phase tensor-guided CNN. International Journal of Computer Assisted Radiology and Surgery. 15(7). 1127–1135. 12 indexed citations

9.

Guo, Pengfei, Puyang Wang, Jinyuan Zhou, Vishal M. Patel, & Shanshan Jiang. (2020). Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN. Lecture notes in computer science. 12262. 104–113. 6 indexed citations

10.

Wang, Puyang & Vishal M. Patel. (2018). Generating high quality visible images from SAR images using CNNs. 570–575. 58 indexed citations

11.

Wang, Puyang, et al.. (2018). Automatic real-time CNN-based neonatal brain ventricles segmentation. 716–719. 10 indexed citations

12.

Wang, Puyang & Vishal M. Patel. (2017). Extracting Fourier descriptors from compressive measurements. 21. 4755–4759. 1 indexed citations

13.

Wang, Puyang, He Zhang, & Vishal M. Patel. (2017). Generative adversarial network-based restoration of speckled SAR images. 1–5. 39 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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