Yanzhou Su

678 total citations
26 papers, 300 citations indexed

About

Yanzhou Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yanzhou Su has authored 26 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yanzhou Su's work include Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Yanzhou Su is often cited by papers focused on Advanced Neural Network Applications (11 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Yanzhou Su collaborates with scholars based in China, United Kingdom and United States. Yanzhou Su's co-authors include Jian Cheng, Haijun Liu, Junjun He, Jian Cheng, Jin Ye, Changtao He, Yongjian Wu, Min Wang, Wang Feng and Chengzhi Jiang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Remote Sensing.

In The Last Decade

Yanzhou Su

22 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanzhou Su China 10 191 84 59 35 30 26 300
Shubham Innani United States 4 132 0.7× 34 0.4× 72 1.2× 55 1.6× 22 0.7× 15 295
Bitao Jiang China 9 111 0.6× 185 2.2× 54 0.9× 16 0.5× 25 0.8× 30 378
Marcin Ciecholewski Poland 9 148 0.8× 51 0.6× 79 1.3× 95 2.7× 14 0.5× 15 282
Eric Heim Germany 5 81 0.4× 66 0.8× 49 0.8× 39 1.1× 26 0.9× 10 228
Yali Peng China 10 320 1.7× 132 1.6× 47 0.8× 44 1.3× 27 0.9× 21 419
Nour Aburaed United Arab Emirates 9 106 0.6× 183 2.2× 65 1.1× 8 0.2× 15 0.5× 42 336
Kevis-Kokitsi Maninis Switzerland 3 328 1.7× 45 0.5× 73 1.2× 24 0.7× 18 0.6× 5 419
Ahmed Mohammed Norway 10 126 0.7× 23 0.3× 65 1.1× 18 0.5× 20 0.7× 32 279
Mihai Ciuc Romania 9 175 0.9× 64 0.8× 51 0.9× 20 0.6× 22 0.7× 41 303

Countries citing papers authored by Yanzhou Su

Since Specialization
Citations

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

Fields of papers citing papers by Yanzhou Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanzhou Su

This figure shows the co-authorship network connecting the top 25 collaborators of Yanzhou Su. A scholar is included among the top collaborators of Yanzhou Su 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 Yanzhou Su. Yanzhou Su 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, Zhongying, Junlong Cheng, Yanzhou Su, et al.. (2025). SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 17599–17612. 1 indexed citations
2.
Deng, Zhongying, Ye Jin, Yanzhou Su, et al.. (2025). A-Eval: A benchmark for cross-dataset and cross-modality evaluation of abdominal multi-organ segmentation. Medical Image Analysis. 101. 103499–103499. 1 indexed citations
3.
Huang, Ziyan, Zhongying Deng, Zhikai Yang, et al.. (2025). Revisiting model scaling with a U-net benchmark for 3D medical image segmentation. Scientific Reports. 15(1). 29795–29795. 2 indexed citations
4.
Cheng, Junlong, Bin Fu, Jin Ye, et al.. (2025). Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline. 20841–20851. 4 indexed citations
5.
Wang, Guoan, et al.. (2025). Adaptive feature decoupled network for polyp segmentation. Biomedical Signal Processing and Control. 111. 108327–108327.
6.
Cheng, Jian, et al.. (2024). Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review. ISPRS Journal of Photogrammetry and Remote Sensing. 211. 1–34. 47 indexed citations
7.
Cheng, Jian, et al.. (2024). Global Adaptive Second-Order Transformer for Remote Sensing Image Semantic Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 3 indexed citations
8.
Shen, Yiqing, Zan Chen, Michail Mamalakis, et al.. (2024). A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding. 2390–2395. 6 indexed citations
9.
Chen, Zhicong, et al.. (2024). A Tiny Efficient U-Net with Gated Linear Attention for Medical Image Segmentation. 3367–3371. 1 indexed citations
10.
Cai, Jianfei, Pengcheng Chen, Zhongying Deng, et al.. (2024). GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI. 94327–94427.
11.
Cheng, Jian, et al.. (2023). ORBNet: Original Reinforcement Bilateral Network for High-Resolution Remote Sensing Image Semantic Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 15900–15913.
12.
Su, Yanzhou, et al.. (2023). FeDNet: Feature Decoupled Network for polyp segmentation from endoscopy images. Biomedical Signal Processing and Control. 83. 104699–104699. 13 indexed citations
13.
Su, Yanzhou, Qingsong Xie, Jin Ye, Junjun He, & Jian Cheng. (2023). An Accurate Polyp Segmentation Framework via Feature Secondary Fusion. 1–5. 1 indexed citations
14.
Cheng, Jian, et al.. (2022). Calibrated Focal Loss for Semantic Labeling of High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 6531–6547. 17 indexed citations
15.
Su, Yanzhou, et al.. (2022). Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations
16.
Su, Yanzhou, et al.. (2022). FAPN: Feature Augmented Pyramid Network for polyp segmentation. Biomedical Signal Processing and Control. 78. 103903–103903. 22 indexed citations
17.
Su, Yanzhou, et al.. (2022). Semantic Segmentation of Very-High-Resolution Remote Sensing Images via Deep Multi-Feature Learning. Remote Sensing. 14(3). 533–533. 25 indexed citations
18.
Cheng, Jian, et al.. (2022). Multi-Branch Adaptive Hard Region Mining Network for Urban Scene Parsing of High-Resolution Remote-Sensing Images. Remote Sensing. 14(21). 5527–5527. 3 indexed citations
19.
Peng, Xiaojiang, et al.. (2021). TTPP: Temporal Transformer with Progressive Prediction for efficient action anticipation. Neurocomputing. 438. 270–279. 10 indexed citations
20.
Liu, Haijun, et al.. (2020). Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification. Neurocomputing. 398. 11–19. 87 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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