Luyi Han

622 total citations
22 papers, 284 citations indexed

About

Luyi Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luyi Han has authored 22 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luyi Han's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (12 papers) and Medical Image Segmentation Techniques (5 papers). Luyi Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (12 papers) and Medical Image Segmentation Techniques (5 papers). Luyi Han collaborates with scholars based in Netherlands, China and United States. Luyi Han's co-authors include Yunzhi Huang, Haoran Dou, Qi Liu, Honghao Luo, Ritse M. Mann, Tianyu Zhang, Jiang Zhang, Shuai Wang, Jingfan Fan and Tao Tan and has published in prestigious journals such as Nature Communications, Pattern Recognition and Journal of Magnetic Resonance Imaging.

In The Last Decade

Luyi Han

19 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luyi Han Netherlands 8 192 187 76 32 25 22 284
Firas Khader Germany 9 192 1.0× 164 0.9× 84 1.1× 32 1.0× 52 2.1× 17 376
Ehab A. AlBadawy United States 8 168 0.9× 177 0.9× 69 0.9× 22 0.7× 20 0.8× 9 331
Zhaoyang Xu China 6 133 0.7× 164 0.9× 66 0.9× 17 0.5× 13 0.5× 16 221
Eleftherios Trivizakis Greece 9 267 1.4× 191 1.0× 50 0.7× 27 0.8× 48 1.9× 16 389
Quoc Dang Vu United Kingdom 7 130 0.7× 166 0.9× 99 1.3× 38 1.2× 10 0.4× 11 249
Nikos Tsiknakis Greece 7 260 1.4× 84 0.4× 71 0.9× 20 0.6× 31 1.2× 23 342
Baochuan Pang China 8 105 0.5× 228 1.2× 130 1.7× 32 1.0× 22 0.9× 31 323
Alessia Angela Maria Orlando Italy 10 224 1.2× 213 1.1× 35 0.5× 38 1.2× 23 0.9× 18 314
Azam Hamidinekoo United Kingdom 5 180 0.9× 200 1.1× 61 0.8× 13 0.4× 9 0.4× 13 276

Countries citing papers authored by Luyi Han

Since Specialization
Citations

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

Fields of papers citing papers by Luyi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luyi Han

This figure shows the co-authorship network connecting the top 25 collaborators of Luyi Han. A scholar is included among the top collaborators of Luyi Han 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 Luyi Han. Luyi Han 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, Tao, Tianyu Zhang, Anna D’Angelo, et al.. (2025). Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history. npj Breast Cancer. 11(1). 118–118. 1 indexed citations
2.
Gao, Yuan, Tao Tan, Xin Wang, et al.. (2025). Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment. IEEE Journal of Biomedical and Health Informatics. 29(12). 9041–9050. 1 indexed citations
3.
4.
Han, Luyi, Tianyu Zhang, Anna D’Angelo, et al.. (2025). Exploring personalized neoadjuvant therapy selection strategies in breast cancer: an explainable multi-modal response model. EClinicalMedicine. 86. 103356–103356.
5.
Huang, Yunzhi, Luyi Han, Haoran Dou, Sahar Ahmad, & Pew‐Thian Yap. (2025). Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals. Computer Methods and Programs in Biomedicine. 261. 108578–108578. 1 indexed citations
6.
7.
Huang, Yunzhi, Luyi Han, & Haoran Dou. (2025). Generative feature style augmentation for domain generalization in medical image segmentation. Pattern Recognition. 162. 111416–111416. 6 indexed citations
8.
Xu, Zeyan, Alva B. Weir, Hong-Yu Zhou, et al.. (2024). An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer. Nature Communications. 15(1). 9613–9613. 24 indexed citations
9.
Zhang, Tianyu, Tao Tan, Luyi Han, et al.. (2024). IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Information Fusion. 108. 102381–102381. 5 indexed citations
10.
Dong, Zhijia, et al.. (2024). Heat and sweat regulating performance of zoning structure weft-knitted sportswear. Textile Research Journal. 95(5-6). 496–512.
11.
Han, Luyi, et al.. (2024). UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI. IEEE Journal of Biomedical and Health Informatics. 29(12). 8988–9000. 1 indexed citations
12.
Huang, Yunzhi, Sahar Ahmad, Luyi Han, et al.. (2023). Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network. Pattern Recognition. 143. 109715–109715. 1 indexed citations
13.
Zhang, Tianyu, Tao Tan, Luyi Han, et al.. (2023). RadioLOGIC, a healthcare model for processing electronic health records and decision-making in breast disease. Cell Reports Medicine. 4(8). 101131–101131. 9 indexed citations
14.
Zhang, Tianyu, Tao Tan, Luyi Han, et al.. (2023). Predicting breast cancer types on and beyond molecular level in a multi-modal fashion. npj Breast Cancer. 9(1). 16–16. 37 indexed citations
15.
Han, Luyi, Tao Tan, Tianyu Zhang, et al.. (2023). Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Analysis. 92. 103044–103044. 6 indexed citations
16.
17.
Han, Luyi, Yuanyuan Lyu, Cheng Peng, & S. Kevin Zhou. (2022). GAN-based disentanglement learning for chest X-ray rib suppression. Medical Image Analysis. 77. 102369–102369. 14 indexed citations
18.
Han, Luyi, et al.. (2022). Albumin-templated manganese carbonate nanoparticles for precise magnetic resonance imaging of acute myocardial infarction. Journal of Biomaterials Applications. 37(3). 493–501. 2 indexed citations
19.
Han, Luyi, Yunzhi Huang, Haoran Dou, et al.. (2019). Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network. Computer Methods and Programs in Biomedicine. 189. 105275–105275. 75 indexed citations
20.
Huang, Yunzhi, Luyi Han, Haoran Dou, et al.. (2019). Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images. BioMedical Engineering OnLine. 18(1). 8–8. 55 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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2026