Yanye Lu

1.5k total citations
71 papers, 989 citations indexed

About

Yanye Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yanye Lu has authored 71 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 34 papers in Biomedical Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yanye Lu's work include Retinal Imaging and Analysis (19 papers), Optical Coherence Tomography Applications (14 papers) and Medical Imaging Techniques and Applications (12 papers). Yanye Lu is often cited by papers focused on Retinal Imaging and Analysis (19 papers), Optical Coherence Tomography Applications (14 papers) and Medical Imaging Techniques and Applications (12 papers). Yanye Lu collaborates with scholars based in China, Germany and United States. Yanye Lu's co-authors include Qiushi Ren, Xiangxi Meng, Kun Yang, Zhe Jiang, Zhiyu Huang, Bin Qiu, Gangjun Liu, Andreas Maier, Lei Zhu and Zekuan Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Chemical Communications.

In The Last Decade

Yanye Lu

65 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanye Lu China 19 487 445 298 139 88 71 989
Parag V. Chitnis United States 14 296 0.6× 505 1.1× 156 0.5× 27 0.2× 40 0.5× 73 947
Eric K. Chan United States 14 616 1.3× 614 1.4× 649 2.2× 82 0.6× 192 2.2× 43 1.9k
Denis P. Shamonin Netherlands 10 441 0.9× 170 0.4× 207 0.7× 63 0.5× 12 0.1× 22 842
Floris F. Berendsen Netherlands 8 490 1.0× 235 0.5× 432 1.4× 14 0.1× 23 0.3× 13 859
Daniel B. Russakoff United States 14 452 0.9× 163 0.4× 351 1.2× 244 1.8× 22 0.3× 38 822
Ela Claridge United Kingdom 19 406 0.8× 376 0.8× 163 0.5× 176 1.3× 36 0.4× 58 1.2k
Baiyu Chen United States 19 949 1.9× 783 1.8× 148 0.5× 38 0.3× 11 0.1× 68 1.4k
Ning Guo United States 10 444 0.9× 189 0.4× 186 0.6× 11 0.1× 53 0.6× 22 774
Andrea Curatolo Australia 20 642 1.3× 1.1k 2.5× 60 0.2× 139 1.0× 28 0.3× 51 1.3k
Golnaz Farhat Canada 9 435 0.9× 587 1.3× 56 0.2× 36 0.3× 10 0.1× 17 806

Countries citing papers authored by Yanye Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yanye Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanye Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanye Lu. A scholar is included among the top collaborators of Yanye Lu 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 Yanye Lu. Yanye Lu 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.
Huang, Xinrui, Wanyi Fu, Yixing Huang, et al.. (2025). ECS-Net: Extracellular space segmentation with contrastive and shape-aware loss by using cryo-electron microscopy imaging. Expert Systems with Applications. 270. 126370–126370. 1 indexed citations
2.
Zeng, Shuang, et al.. (2025). Improve retinal artery/vein classification via channel coupling. Expert Systems with Applications. 305. 130795–130795.
3.
Li, Na, et al.. (2025). Relationship Between Axial Length and Retinal Oxygen Dynamics in Adults With Myopia. Translational Vision Science & Technology. 14(1). 18–18.
4.
Zeng, Shuang, et al.. (2025). Points-Supervised Fundus Vessel Segmentation via Shape Priors and Contrastive Learning. IEEE Transactions on Medical Imaging. 44(12). 5038–5050. 1 indexed citations
5.
Zhang, Xinliang, et al.. (2024). Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7332–7340. 3 indexed citations
6.
Chen, Q., et al.. (2024). Generative learning-based lightweight MRI brain tumor segmentation with missing modalities. Expert Systems with Applications. 261. 125478–125478. 2 indexed citations
7.
Jin, Zi, Xuhui Chen, Yanye Lu, et al.. (2024). Predicting the cognitive impairment with multimodal ophthalmic imaging and artificial neural network for community screening. British Journal of Ophthalmology. 108(12). 1737–1742. 1 indexed citations
8.
Gao, Mengdi, Hongyang Jiang, Lei Zhu, et al.. (2023). Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis. Medical Image Analysis. 89. 102884–102884. 8 indexed citations
9.
Guo, Qing, et al.. (2023). One-Pot Multi-frame Denoising. International Journal of Computer Vision. 132(2). 515–536.
10.
Meng, Xiangxi, Lei Zhu, Zhe Jiang, et al.. (2022). Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography. IEEE Transactions on Medical Imaging. 41(11). 3357–3372. 26 indexed citations
11.
Zhu, Lei, Junmeng Li, Xiangxi Meng, et al.. (2022). Synergistically segmenting choroidal layer and vessel using deep learning for choroid structure analysis. Physics in Medicine and Biology. 67(8). 85001–85001. 11 indexed citations
12.
Meng, Xiangxi, Jiangyuan Yu, Lei Zhu, et al.. (2021). Content-Noise Complementary Learning for Medical Image Denoising. IEEE Transactions on Medical Imaging. 41(2). 407–419. 111 indexed citations
13.
Meng, Xiangxi, Guohe Wang, Ziyuan Li, et al.. (2021). Gram-scale synthesis of a neodymium chelate as a spectral CT and second near-infrared window imaging agent for visualizing the gastrointestinal tract in vivo. Journal of Materials Chemistry B. 9(9). 2285–2294. 15 indexed citations
14.
Qiu, Bin, Zhiyu Huang, Xiangxi Meng, et al.. (2020). N2NSR‐OCT: Simultaneous denoising and super‐resolution in optical coherence tomography images using semisupervised deep learning. Journal of Biophotonics. 14(1). e202000282–e202000282. 38 indexed citations
15.
Jiang, Zhe, Zhiyu Huang, Bin Qiu, et al.. (2020). Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography. IEEE Transactions on Medical Imaging. 40(2). 688–698. 26 indexed citations
16.
Yang, Kun, et al.. (2020). A practical calibration criterion for image-based material decomposition in spectral computed tomography. Alexandria Engineering Journal. 59(3). 1371–1379. 2 indexed citations
17.
Jiang, Zhe, Yan Xia, Kun Yang, et al.. (2020). PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography. IEEE Transactions on Medical Imaging. 40(2). 571–584. 14 indexed citations
18.
Qiu, Bin, Zhiyu Huang, Xiangxi Meng, et al.. (2020). Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function. Biomedical Optics Express. 11(2). 817–817. 82 indexed citations
19.
Jiang, Zhe, Zhiyu Huang, Bin Qiu, et al.. (2020). Comparative study of deep learning models for optical coherence tomography angiography. Biomedical Optics Express. 11(3). 1580–1580. 39 indexed citations
20.
Yu, Yue, Fang Yuan, Xiaohui Zhang, et al.. (2019). Ultrasensitive and simultaneous determination of RNA modified nucleotides by sheathless interfaced capillary electrophoresis–tandem mass spectrometry. Chemical Communications. 55(53). 7595–7598. 22 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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