Yuchuan Qiao

731 total citations
32 papers, 423 citations indexed

About

Yuchuan Qiao is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Physiology. According to data from OpenAlex, Yuchuan Qiao has authored 32 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Physiology. Recurrent topics in Yuchuan Qiao's work include Medical Image Segmentation Techniques (10 papers), Alzheimer's disease research and treatments (6 papers) and Advanced MRI Techniques and Applications (6 papers). Yuchuan Qiao is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Alzheimer's disease research and treatments (6 papers) and Advanced MRI Techniques and Applications (6 papers). Yuchuan Qiao collaborates with scholars based in United States, China and Netherlands. Yuchuan Qiao's co-authors include Marius Staring, Yonggang Shi, Boudewijn P. F. Lelieveldt, Zhuo Sun, John M. Ringman, Mara Mather, Jiong Zhang, Amir H. Kashani, Baldur van Lew and Maziyar M. Khansari and has published in prestigious journals such as NeuroImage, Neuroscience and Cerebral Cortex.

In The Last Decade

Yuchuan Qiao

29 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchuan Qiao United States 10 176 82 71 67 66 32 423
Chunlan Yang China 12 253 1.4× 181 2.2× 36 0.5× 60 0.9× 49 0.7× 37 528
Akinori Mitani United States 8 136 0.8× 104 1.3× 189 2.7× 43 0.6× 71 1.1× 14 544
Zhuangzhi Yan China 16 301 1.7× 141 1.7× 61 0.9× 133 2.0× 103 1.6× 87 749
Kun Zhao China 14 250 1.4× 140 1.7× 49 0.7× 65 1.0× 105 1.6× 47 586
Herbert Jelinek Australia 12 97 0.6× 90 1.1× 46 0.6× 56 0.8× 30 0.5× 22 525
Camilo Bermudez United States 13 262 1.5× 105 1.3× 29 0.4× 166 2.5× 74 1.1× 29 594
Inas A. Yassine Egypt 9 150 0.9× 143 1.7× 12 0.2× 77 1.1× 50 0.8× 33 394
Tongtong Che China 11 146 0.8× 66 0.8× 19 0.3× 67 1.0× 44 0.7× 22 313
Andreas Schuh United Kingdom 16 187 1.1× 93 1.1× 124 1.7× 76 1.1× 92 1.4× 26 672

Countries citing papers authored by Yuchuan Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Yuchuan Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuchuan Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchuan Qiao. A scholar is included among the top collaborators of Yuchuan Qiao 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 Yuchuan Qiao. Yuchuan Qiao 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.
Mao, Haiting, Yuhui Ma, Dan Zhang, et al.. (2024). $\text{MR}^{2}$-Net: Retinal OCTA Image Stitching via Multi-Scale Representation Learning and Dynamic Location Guidance. IEEE Journal of Biomedical and Health Informatics. 29(1). 482–494.
2.
Qiao, Yuchuan, Yingguang Li, Yankai Chen, et al.. (2024). AutoFOX: An automated cross-modal 3D fusion framework of coronary X-ray angiography and OCT. Medical Image Analysis. 101. 103432–103432. 1 indexed citations
3.
Zheng, Yuanjie, Minmin Pan, Mengting Liu, et al.. (2023). Improving Alzheimer Diagnoses With An Interpretable Deep Learning Framework: Including Neuropsychiatric Symptoms. Neuroscience. 531. 86–98. 7 indexed citations
4.
Adhikari, Suman, Yuchuan Qiao, Abhay P. Sagare, et al.. (2023). Retinotopic degeneration of the retina and optic tracts in autosomal dominant Alzheimer's disease. Alzheimer s & Dementia. 19(11). 5103–5113. 5 indexed citations
5.
Wu, Peng, Yuchuan Qiao, Miao Chu, et al.. (2022). Reciprocal assistance of intravascular imaging in three-dimensional stent reconstruction: Using cross-modal translation based on disentanglement representation. Computerized Medical Imaging and Graphics. 104. 102166–102166. 1 indexed citations
6.
Qiao, Yuchuan, Valerie J. Sydnor, Matthew Cieslak, et al.. (2022). Retinal ganglion cell endowment is correlated with optic tract fiber cross section, not density. NeuroImage. 260. 119495–119495. 5 indexed citations
7.
Ge, Xinting, Yuanjie Zheng, Yuchuan Qiao, et al.. (2021). Hippocampal asymmetry of regional development and structural covariance in preterm neonates. Cerebral Cortex. 32(19). 4271–4283. 9 indexed citations
8.
Qiao, Yuchuan & Yonggang Shi. (2021). Unsupervised Deep Learning for FOD-Based Susceptibility Distortion Correction in Diffusion MRI. IEEE Transactions on Medical Imaging. 41(5). 1165–1175. 9 indexed citations
9.
Dahl, Martin J., Mara Mather, Markus Werkle‐Bergner, et al.. (2021). Locus coeruleus integrity is related to tau burden and memory loss in autosomal-dominant Alzheimer's disease. Neurobiology of Aging. 112. 39–54. 69 indexed citations
10.
Ge, Xinting, Dan Zhang, Yuchuan Qiao, et al.. (2021). Association of Tau Pathology With Clinical Symptoms in the Subfields of Hippocampal Formation. Frontiers in Aging Neuroscience. 13. 672077–672077. 10 indexed citations
11.
Qiao, Yuchuan & Yonggang Shi. (2020). Unsupervised Deep Learning for Susceptibility Distortion Correction in Connectome Imaging. Lecture notes in computer science. 12267. 302–310. 4 indexed citations
12.
Sun, Wei, Yuchun Tang, Yuchuan Qiao, et al.. (2020). A probabilistic atlas of locus coeruleus pathways to transentorhinal cortex for connectome imaging in Alzheimer's disease. NeuroImage. 223. 117301–117301. 25 indexed citations
13.
Qiao, Yuchuan, Boudewijn P. F. Lelieveldt, & Marius Staring. (2019). An Efficient Preconditioner for Stochastic Gradient Descent Optimization of Image Registration. IEEE Transactions on Medical Imaging. 38(10). 2314–2325. 9 indexed citations
14.
Ringman, John M., Naghmeh Dorrani, Rebecca Signer, et al.. (2019). P1‐123: VERY YOUNG ONSET AUTOSOMAL DOMINANT ALZHEIMER'S DISEASE WITH SPASTIC PARAPARESIS DUE TO A NOVEL (F388S) PSEN1 MUTATION. Alzheimer s & Dementia. 15(7S_Part_5). 1 indexed citations
15.
Qiao, Yuchuan, Wei Sun, & Yonggang Shi. (2019). FOD-based registration for susceptibility distortion correction in brainstem connectome imaging. NeuroImage. 202. 116164–116164. 9 indexed citations
16.
17.
Wang, Xiaofei, et al.. (2018). Fast online SVDD based on support vectors merging. 197–203. 1 indexed citations
18.
Sun, Zhuo, Yuchuan Qiao, Boudewijn P. F. Lelieveldt, & Marius Staring. (2018). Integrating spatial-anatomical regularization and structure sparsity into SVM: Improving interpretation of Alzheimer's disease classification. NeuroImage. 178. 445–460. 56 indexed citations
19.
Qiao, Yuchuan, Wei Sun, & Yonggang Shi. (2018). FOD-Based Registration for Susceptibility Distortion Correction in Connectome Imaging. Lecture notes in computer science. 11083. 11–19. 2 indexed citations
20.
Qiao, Yuchuan, Baldur van Lew, Boudewijn P. F. Lelieveldt, & Marius Staring. (2015). Fast Automatic Step Size Estimation for Gradient Descent Optimization of Image Registration. IEEE Transactions on Medical Imaging. 35(2). 391–403. 36 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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