Yicheng Wu

2.2k total citations · 1 hit paper
32 papers, 775 citations indexed

About

Yicheng Wu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Yicheng Wu has authored 32 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Yicheng Wu's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Optical measurement and interference techniques (4 papers) and Digital Imaging for Blood Diseases (3 papers). Yicheng Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Optical measurement and interference techniques (4 papers) and Digital Imaging for Blood Diseases (3 papers). Yicheng Wu collaborates with scholars based in China, Australia and United States. Yicheng Wu's co-authors include Yong Xia, Ashok Veeraraghavan, Jianfei Cai, Zongyuan Ge, Yang Song, Lei Zhang, Donghao Zhang, Yanning Zhang, Minfeng Xu and Weidong Cai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.

In The Last Decade

Yicheng Wu

31 papers receiving 745 citations

Hit Papers

Mutual consistency learning for semi-supervised medical i... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yicheng Wu China 12 392 325 151 130 128 32 775
Fahad Shamshad Pakistan 7 301 0.8× 312 1.0× 280 1.9× 17 0.1× 109 0.9× 16 782
Mei Zhou China 17 449 1.1× 404 1.2× 266 1.8× 72 0.6× 215 1.7× 68 1.1k
Yixiong Liang China 15 491 1.3× 278 0.9× 247 1.6× 127 1.0× 85 0.7× 57 774
M. Patricia Braeuning United States 12 381 1.0× 283 0.9× 291 1.9× 40 0.3× 72 0.6× 22 905
Xuena Cheng China 4 295 0.8× 311 1.0× 219 1.5× 76 0.6× 186 1.5× 7 619
P.E. Undrill United Kingdom 14 247 0.6× 329 1.0× 117 0.8× 153 1.2× 92 0.7× 35 697
Zhe Guo China 10 134 0.3× 217 0.7× 117 0.8× 10 0.1× 80 0.6× 36 576
Shuqian Luo China 12 201 0.5× 289 0.9× 61 0.4× 109 0.8× 136 1.1× 42 499
Jixiang Guo China 17 258 0.7× 534 1.6× 235 1.6× 108 0.8× 164 1.3× 72 999
Sejung Yang South Korea 15 168 0.4× 95 0.3× 127 0.8× 14 0.1× 120 0.9× 71 722

Countries citing papers authored by Yicheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yicheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yicheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yicheng Wu. A scholar is included among the top collaborators of Yicheng 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 Yicheng Wu. Yicheng 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.
Wu, Yicheng, Jianfei Cai, Tien‐Tsin Wong, et al.. (2025). MU-Diff: a mutual learning diffusion model for synthetic MRI with Application for brain lesions. Monash University Research Portal (Monash University). 1(1). 1 indexed citations
2.
Xie, Yutong, et al.. (2025). Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(7). 2948–2959. 7 indexed citations
3.
Chong, Min Jin, et al.. (2025). Copy or Not? Reference-Based Face Image Restoration with Fine Details. 9660–9669. 1 indexed citations
4.
Dai, Zhineng, et al.. (2024). Study on prediction model of TCH degradation by three -dimensional electrocatalysis based on XGBoost and MLP. Journal of Water Process Engineering. 68. 106420–106420. 1 indexed citations
5.
Wu, Yicheng, et al.. (2024). Data-driven glass-forming ability for Fe-based amorphous alloys. Materials Today Communications. 40. 109440–109440. 1 indexed citations
6.
Wu, Yicheng, Yutong Xie, Xiangde Luo, Qi Wu, & Jianfei Cai. (2024). Dataset, Challenge, and Evaluation for Tumor Segmentation Variability. 11302–11303.
7.
Wu, Yicheng, Xiangde Luo, Zhe Xu, et al.. (2024). Diversified and Personalized Multi-Rater Medical Image Segmentation. 11470–11479. 9 indexed citations
8.
Zhu, Hao, et al.. (2024). Comparison of the efficacy of acupuncture with tuina with acupuncture-only in the treatment of peripheral facial paralysis: a network meta-analysis. Internal and Emergency Medicine. 19(3). 839–858. 3 indexed citations
9.
Huang, Chung‐Guei, Yicheng Wu, Ming‐Ju Hsieh, et al.. (2023). Impact of patient characteristics on innate immune responses and inflammasome activation in ex vivo human lung tissues infected with influenza A virus. Frontiers in Cellular and Infection Microbiology. 13. 1269329–1269329. 2 indexed citations
10.
Yu, Rui, et al.. (2023). Be Real in Scale: Swing for True Scale in Dual Camera Mode. 37. 1231–1239. 1 indexed citations
11.
Sun, Zhanghao, et al.. (2023). Energy-Efficient Adaptive 3D Sensing. 5054–5063. 3 indexed citations
12.
Wu, Yicheng, Zongyuan Ge, Donghao Zhang, et al.. (2022). Mutual consistency learning for semi-supervised medical image segmentation. Medical Image Analysis. 81. 102530–102530. 192 indexed citations breakdown →
13.
Ye, Yiwen, Chengwei Pan, Yicheng Wu, Shuqi Wang, & Yong Xia. (2022). MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation. IEEE Journal of Biomedical and Health Informatics. 26(9). 4551–4562. 43 indexed citations
15.
Wu, Yicheng, Yong Xia, Yang Song, Yanning Zhang, & Weidong Cai. (2020). NFN+: A novel network followed network for retinal vessel segmentation. Neural Networks. 126. 153–162. 136 indexed citations
16.
Wu, Yicheng, Manoj Kumar Sharma, & Ashok Veeraraghavan. (2019). WISH: wavefront imaging sensor with high resolution. Light Science & Applications. 8(1). 44–44. 82 indexed citations
17.
Sun, Li, et al.. (2018). Human Gait Classification Using Micro-Motion and Ensemble Learning. 17. 6971–6974. 2 indexed citations
18.
Tu, Shu‐Ju, Chih‐Wei Wang, Kuang‐Tse Pan, Yicheng Wu, & Chen‐Te Wu. (2018). Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening. Physics in Medicine and Biology. 63(6). 65005–65005. 38 indexed citations
19.
Fu, Jui‐Ying, Ching‐Feng Wu, Ming‐Ju Hsieh, et al.. (2016). Survival impact of locoregional metachronous malignancy in survival of lung cancer patients who received curative treatment. Journal of Thoracic Disease. 8(6). 1139–1148. 4 indexed citations
20.
Cheng, Nai‐Ming, Chih‐Teng Yu, Kung‐Chu Ho, et al.. (2008). Respiration-averaged CT for attenuation correction in non-small-cell lung cancer. European Journal of Nuclear Medicine and Molecular Imaging. 36(4). 607–615. 16 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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