Huisi Wu

2.6k total citations · 3 hit papers
76 papers, 1.6k citations indexed

About

Huisi Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Huisi Wu has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 24 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Artificial Intelligence. Recurrent topics in Huisi Wu's work include Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Medical Image Segmentation Techniques (12 papers). Huisi Wu is often cited by papers focused on Advanced Neural Network Applications (16 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Medical Image Segmentation Techniques (12 papers). Huisi Wu collaborates with scholars based in China, Hong Kong and Taiwan. Huisi Wu's co-authors include Zhenkun Wen, Baiying Lei, Jing Qin, Guilian Chen, Wei Wang, Jing Qin, Wei Wang, Tien‐Tsin Wong, Tong‐Yee Lee and Pheng‐Ann Heng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Medical Imaging.

In The Last Decade

Huisi Wu

65 papers receiving 1.6k citations

Hit Papers

FAT-Net: Feature adaptive transformers for automated skin... 2021 2026 2022 2024 2021 2021 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huisi Wu China 20 860 557 497 290 153 76 1.6k
Evgin Göçeri Türkiye 29 713 0.8× 663 1.2× 628 1.3× 282 1.0× 235 1.5× 52 1.8k
Nader Karimi Iran 20 958 1.1× 471 0.8× 301 0.6× 370 1.3× 72 0.5× 114 1.7k
Diana Mateus France 20 683 0.8× 431 0.8× 492 1.0× 112 0.4× 92 0.6× 63 1.5k
Fucang Jia China 23 547 0.6× 238 0.4× 529 1.1× 145 0.5× 236 1.5× 85 1.6k
Qianni Zhang United Kingdom 18 748 0.9× 447 0.8× 418 0.8× 68 0.2× 286 1.9× 97 1.5k
Hong Song China 17 562 0.7× 268 0.5× 444 0.9× 98 0.3× 79 0.5× 182 1.4k
Heming Zhao China 16 321 0.4× 366 0.7× 353 0.7× 123 0.4× 70 0.5× 117 1.3k
Guangmin Sun China 20 406 0.5× 280 0.5× 301 0.6× 90 0.3× 91 0.6× 148 1.3k
José Dolz Canada 23 826 1.0× 618 1.1× 720 1.4× 68 0.2× 205 1.3× 69 1.7k
Fahmi Khalifa United States 26 831 1.0× 517 0.9× 1.4k 2.7× 105 0.4× 224 1.5× 153 2.5k

Countries citing papers authored by Huisi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Huisi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huisi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huisi Wu. A scholar is included among the top collaborators of Huisi Wu 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 Huisi Wu. Huisi Wu 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.
Deng, Xiaolong & Huisi Wu. (2025). Echocardiography Video Segmentation via Neighborhood Correlation Mining. IEEE Transactions on Medical Imaging. 44(12). 5172–5182.
2.
Wu, Huisi, et al.. (2024). Cartoon Animation Outpainting With Region-Guided Motion Inference. IEEE Transactions on Visualization and Computer Graphics. 31(4). 2086–2100. 1 indexed citations
3.
Zeng, Runhao, et al.. (2024). Improving Video Moment Retrieval by Auxiliary Moment-Query Pairs With Hyper-Interaction. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 3940–3954. 1 indexed citations
4.
Wu, Huisi, et al.. (2024). An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1744–1752. 5 indexed citations
5.
Zuo, Qiankun, Huisi Wu, C. L. Philip Chen, Baiying Lei, & Shuqiang Wang. (2024). Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease. IEEE Transactions on Cybernetics. 54(6). 3652–3665. 46 indexed citations breakdown →
6.
Zheng, Jing, et al.. (2024). Long sequence time-series forecasting method based on multi-scale segmentation. SHILAP Revista de lepidopterología. 41(2). 232–240.
7.
Wu, Huisi, et al.. (2024). PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-Wise Hardness. 11418–11427. 5 indexed citations
8.
Zhou, Yu, et al.. (2024). Denoiser-Regulated Deep Unfolding Compressed Sensing With Learnable Fixed-Point Projections. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3462–3474. 1 indexed citations
10.
Wu, Huisi, et al.. (2023). Shading-Guided Manga Screening From Reference. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4941–4954. 1 indexed citations
11.
Yang, Peng, Feng Zhou, Guanghui Yue, et al.. (2023). MHW-GAN: Multidiscriminator Hierarchical Wavelet Generative Adversarial Network for Multimodal Image Fusion. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13713–13727. 8 indexed citations
12.
Wu, Huisi, et al.. (2023). Feature Masking on Non-Overlapping Regions for Detecting Dense Cells in Blood Smear Image. IEEE Transactions on Medical Imaging. 42(6). 1668–1680. 7 indexed citations
13.
Zuo, Qiankun, Na Zhong, Yi Pan, et al.. (2023). Brain Structure-Function Fusing Representation Learning Using Adversarial Decomposed-VAE for Analyzing MCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4017–4028. 34 indexed citations
14.
Wang, Mengzhu, et al.. (2023). Interpolation Normalization for Contrast Domain Generalization. 2936–2945. 4 indexed citations
15.
16.
Wu, Huisi, et al.. (2023). ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2812–2820. 16 indexed citations
17.
Li, Chengze, et al.. (2022). Vectorizing Line Drawings of Arbitrary Thickness via Boundary‐based Topology Reconstruction. Computer Graphics Forum. 41(2). 433–445. 4 indexed citations
18.
Wu, Huisi, et al.. (2022). Semi-supervised segmentation of echocardiography videos via noise-resilient spatiotemporal semantic calibration and fusion. Medical Image Analysis. 78. 102397–102397. 41 indexed citations
19.
Wu, Huisi, et al.. (2021). Deep texture cartoonization via unsupervised appearance regularization. Computers & Graphics. 97. 99–107. 1 indexed citations
20.
Wu, Huisi, et al.. (2018). Automatic texture exemplar extraction based on global and local textureness measures. Computational Visual Media. 4(2). 173–184. 6 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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