Ziyang Wang

733 total citations · 1 hit paper
20 papers, 391 citations indexed

About

Ziyang Wang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Ziyang Wang has authored 20 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Ziyang Wang's work include Advanced Neural Network Applications (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Ziyang Wang is often cited by papers focused on Advanced Neural Network Applications (7 papers), Medical Image Segmentation Techniques (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Ziyang Wang collaborates with scholars based in United Kingdom, United States and China. Ziyang Wang's co-authors include Thomas H. Mareci, Baba C. Vemuri, Yu Chen, Chao Ma, Dan Wang, Ying Zhu, Lijun Zhang, Hanwei Zhang, Zi Ye and Tianxiang Chen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Ziyang Wang

18 papers receiving 374 citations

Hit Papers

A Survey on Visual Mamba 2024 2026 2025 2024 20 40 60
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.

  1. A Survey on Visual Mamba
    2024 74 citations Hanwei Zhang, Ying Zhu et al. Applied Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ziyang Wang United Kingdom 9 216 129 61 34 34 20 391
Gloria Haro Spain 14 73 0.3× 251 1.9× 18 0.3× 21 0.6× 53 1.6× 38 437
Sameera V. Mohd Sagheer India 6 110 0.5× 217 1.7× 20 0.3× 74 2.2× 104 3.1× 11 329
Mohammad Eslami Iran 9 130 0.6× 82 0.6× 3 0.0× 35 1.0× 29 0.9× 41 365
Conglin Lu United States 6 55 0.3× 301 2.3× 4 0.1× 63 1.9× 5 0.1× 8 431
Michel Kocher Switzerland 11 77 0.4× 266 2.1× 41 1.2× 52 1.5× 21 415
Matteo Maggioni Sweden 5 34 0.2× 351 2.7× 5 0.1× 56 1.6× 164 4.8× 12 443
Meng Ding China 11 39 0.2× 309 2.4× 136 2.2× 22 0.6× 133 3.9× 28 472
Thierry Delmarcelle United States 7 107 0.5× 116 0.9× 47 0.8× 9 0.3× 7 343
P. Lemmerling Belgium 11 125 0.6× 48 0.4× 2 0.0× 72 2.1× 7 0.2× 17 325
Guanghui Yue China 12 35 0.2× 292 2.3× 4 0.1× 77 2.3× 134 3.9× 19 430

Countries citing papers authored by Ziyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ziyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ziyang Wang. A scholar is included among the top collaborators of Ziyang 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 Ziyang Wang. Ziyang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tan, Zhentao, Yue Wu, Ziyang Wang, et al.. (2025). Zig-RiR: Zigzag RWKV-in-RWKV for Efficient Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(8). 3245–3257. 1 indexed citations
2.
3.
Wang, Chengjun, et al.. (2025). Uncertainty-Aware Self-Attention Model for Time Series Prediction with Missing Values. Fractal and Fractional. 9(3). 181–181. 2 indexed citations
4.
5.
Zhao, Jumin, et al.. (2025). Pavement crack detection and segmentation using nested U‐Net with residual attention mechanism. Computer-Aided Civil and Infrastructure Engineering. 40(24). 4076–4092. 1 indexed citations
6.
Ma, Chao & Ziyang Wang. (2024). Semi-Mamba-UNet: Pixel-level contrastive and cross-supervised visual Mamba-based UNet for semi-supervised medical image segmentation. Knowledge-Based Systems. 300. 112203–112203. 32 indexed citations
7.
Wang, Ziyang, et al.. (2024). GaitFormer: Leveraging dual-stream spatial–temporal Vision Transformer via a single low-cost RGB camera for clinical gait analysis. Knowledge-Based Systems. 295. 111810–111810. 12 indexed citations
8.
Wang, Ziyang, et al.. (2024). MixSegNet: Fusing multiple mixed-supervisory signals with multiple views of networks for mixed-supervised medical image segmentation. Engineering Applications of Artificial Intelligence. 133. 108059–108059. 14 indexed citations
9.
10.
Ma, Chao, et al.. (2024). TriConvUNeXt: A Pure CNN-Based Lightweight Symmetrical Network for Biomedical Image Segmentation. Journal of Imaging Informatics in Medicine. 37(5). 2311–2323. 6 indexed citations
11.
Zhang, Hanwei, Ying Zhu, Dan Wang, et al.. (2024). A Survey on Visual Mamba. Applied Sciences. 14(13). 5683–5683. 74 indexed citations breakdown →
12.
Zheng, Jian-Qing, Ziyang Wang, Baoru Huang, Ngee Han Lim, & Bartłomiej W. Papież. (2023). Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration. Medical Image Analysis. 91. 103038–103038. 8 indexed citations
13.
Gu, Yuan, et al.. (2023). Unveiling Breast Cancer Risk Profiles: A Survival Clustering Analysis Empowered by an Online Web Application. Future Oncology. 19(40). 2651–2667. 1 indexed citations
14.
Wang, Ziyang, Baba C. Vemuri, Yu Chen, & Thomas H. Mareci. (2004). A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field From Complex DWI. IEEE Transactions on Medical Imaging. 23(8). 930–939. 121 indexed citations
15.
Stoica, Peter, et al.. (2004). Doubly constrained robust Capon beamformer. 51. 1335–1339. 13 indexed citations
16.
He, Lan, et al.. (2004). Cochinchin from Dracaena cochinchinensis. Chinese Journal of Chemistry. 22(8). 867–869. 4 indexed citations
17.
Wang, Ziyang, Baba C. Vemuri, Yu Chen, & Thomas H. Mareci. (2003). Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI. 1. I–461. 10 indexed citations
18.
Wang, Ziyang, Baba C. Vemuri, Yu Chen, & Thomas H. Mareci. (2003). A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field from DWI. Lecture notes in computer science. 18. 660–671. 24 indexed citations
19.
Vemuri, Baba C., Yu Chen, M. Rao, et al.. (2003). Automatic fiber tractography from DTI and its validation. 7. 501–504. 6 indexed citations
20.
Vemuri, Baba C., Yu Chen, M. Rao, et al.. (2002). Fiber tract mapping from diffusion tensor MRI. 81–88. 57 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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Breakdown of academic impact, for papers by Gloria Haro Breakdown of academic impact, for papers by Sameera V. Mohd Sagheer Breakdown of academic impact, for papers by Mohammad Eslami Breakdown of academic impact, for papers by Conglin Lu Breakdown of academic impact, for papers by Michel Kocher Breakdown of academic impact, for papers by Matteo Maggioni Breakdown of academic impact, for papers by Meng Ding Breakdown of academic impact, for papers by Thierry Delmarcelle Breakdown of academic impact, for papers by P. Lemmerling Breakdown of academic impact, for papers by Guanghui Yue
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