Yugen Yi

1.6k total citations · 1 hit paper
75 papers, 1.0k citations indexed

About

Yugen Yi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yugen Yi has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yugen Yi's work include Retinal Imaging and Analysis (17 papers), Face and Expression Recognition (14 papers) and Glaucoma and retinal disorders (9 papers). Yugen Yi is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Face and Expression Recognition (14 papers) and Glaucoma and retinal disorders (9 papers). Yugen Yi collaborates with scholars based in China, Singapore and Hungary. Yugen Yi's co-authors include Wei Zhou, Wenle Wang, Márton Szemenyei, Changlu Guo, Jianzhong Wang, Shaojie Qiao, Guoliang Luo, Yanjiao Shi, Jun Kong and Ningyi Zhang and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Yugen Yi

67 papers receiving 981 citations

Hit Papers

SA-UNet: Spatial Attention U-Net for Retinal Vessel Segme... 2021 2026 2022 2024 2021 50 100 150 200 250
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. SA-UNet: Spatial Attention U-Net for Retinal Vessel Segmentation
    2021 273 citations Yugen Yi, Wenle Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yugen Yi China 14 516 362 282 210 79 75 1.0k
Anas Bilal China 18 324 0.6× 492 1.4× 302 1.1× 180 0.9× 45 0.6× 66 1.1k
Muhammad Mateen China 11 263 0.5× 497 1.4× 214 0.8× 169 0.8× 31 0.4× 20 1.0k
Arpit Jain India 12 506 1.0× 214 0.6× 397 1.4× 107 0.5× 57 0.7× 55 960
Alaa S. Al‐Waisy Iraq 16 261 0.5× 320 0.9× 250 0.9× 79 0.4× 24 0.3× 30 915
Diyar Qader Zeebaree Iraq 14 360 0.7× 308 0.9× 646 2.3× 33 0.2× 75 0.9× 25 1.3k
Changsheng Li China 24 956 1.9× 111 0.3× 602 2.1× 76 0.4× 53 0.7× 77 1.6k
Jiwen Dong China 12 233 0.5× 134 0.4× 474 1.7× 42 0.2× 133 1.7× 53 1.1k

Countries citing papers authored by Yugen Yi

Since Specialization
Citations

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

Fields of papers citing papers by Yugen Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yugen Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Yugen Yi. A scholar is included among the top collaborators of Yugen Yi 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 Yugen Yi. Yugen Yi 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.
Yi, Yugen, Yi He, Hongmin Li, et al.. (2025). MFNet: Multi-fusion network for medical image segmentation. Digital Signal Processing. 163. 105219–105219. 1 indexed citations
2.
Dai, Jiangyan, et al.. (2025). Texture and Structure-Guided Dual-Attention Mechanism for Image Inpainting. ACM Transactions on Multimedia Computing Communications and Applications. 21(4). 1–25.
3.
Li, Jianjun, et al.. (2025). An Effective Multi-Scale Contrastive Learning System for Online Group Recommendation Services in Event-Based Social Networks. IEEE Transactions on Services Computing. 18(5). 2616–2631.
4.
Yi, Yugen, et al.. (2025). BSDSGANet: Bidirectional Skip-stored Dual-Stream Gated Attention Network for multivariate time series classification. Knowledge-Based Systems. 318. 113474–113474. 1 indexed citations
5.
Zhou, Wei, et al.. (2025). Progressive pseudo-labels enhancement for source-free domain adaptation medical image segmentation. Biomedical Signal Processing and Control. 109. 108053–108053.
6.
Wang, Pengfei, et al.. (2025). MG-Mono: A lightweight multi-granularity method for self-supervised monocular depth estimation. Pattern Recognition. 171. 112223–112223. 2 indexed citations
7.
Wang, Wenle, et al.. (2024). Person re-identification by utilizing hierarchical spatial relation reasoning. Image and Vision Computing. 148. 105111–105111.
8.
Yi, Yugen, Yi He, Bin Zhou, et al.. (2024). Windowed axial shuffle attention networks for medical image segmentation. Biomedical Signal Processing and Control. 102. 107341–107341. 1 indexed citations
9.
Yu, Min, et al.. (2024). WiFi-Based Device-Free Passive Multi-Targets Localization Using Multi-Label Learning. IEEE Communications Letters. 28(9). 2076–2080.
10.
Huang, Longjun, Ningyi Zhang, Yugen Yi, et al.. (2024). SAMCF: Adaptive global style alignment and multi-color spaces fusion for joint optic cup and disc segmentation. Computers in Biology and Medicine. 178. 108639–108639.
11.
12.
Zhou, Wei, et al.. (2024). Skeleton-guided multi-scale dual-coordinate attention aggregation network for retinal blood vessel segmentation. Computers in Biology and Medicine. 181. 109027–109027. 6 indexed citations
13.
Yi, Yugen, et al.. (2024). A Novel Adaptive Device-Free Passive Indoor Fingerprinting Localization Under Dynamic Environment. IEEE Transactions on Network and Service Management. 21(6). 6140–6152. 2 indexed citations
14.
Sheng, Hui, et al.. (2023). LA-ESN: A Novel Method for Time Series Classification. Information. 14(2). 67–67. 7 indexed citations
15.
Huang, Xiaoyong, et al.. (2023). AE-ACG: A novel deep learning-based method for stock price movement prediction. Finance research letters. 58. 104304–104304. 11 indexed citations
16.
Yi, Yugen, et al.. (2023). C2FTFNet: Coarse-to-fine transformer network for joint optic disc and cup segmentation. Computers in Biology and Medicine. 164. 107215–107215. 25 indexed citations
17.
Wang, Wenle, et al.. (2023). A User Purchase Behavior Prediction Method Based on XGBoost. Electronics. 12(9). 2047–2047. 10 indexed citations
18.
Qiao, Shaojie, Nan Han, Faliang Huang, et al.. (2021). LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. Applied Intelligence. 52(7). 7870–7889. 7 indexed citations
19.
Yi, Yugen, et al.. (2019). Non-Negative Matrix Factorization With Locality Constrained Adaptive Graph. IEEE Transactions on Circuits and Systems for Video Technology. 30(2). 427–441. 66 indexed citations
20.
Zhou, Wei, et al.. (2019). Automatic optic disc detection using low-rank representation based semi-supervised extreme learning machine. International Journal of Machine Learning and Cybernetics. 11(1). 55–69. 20 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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