Yue Hu

1.9k total citations · 1 hit paper
77 papers, 1.3k citations indexed

About

Yue Hu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yue Hu has authored 77 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 20 papers in Computer Vision and Pattern Recognition and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yue Hu's work include Sparse and Compressive Sensing Techniques (21 papers), Advanced MRI Techniques and Applications (16 papers) and Image and Signal Denoising Methods (12 papers). Yue Hu is often cited by papers focused on Sparse and Compressive Sensing Techniques (21 papers), Advanced MRI Techniques and Applications (16 papers) and Image and Signal Denoising Methods (12 papers). Yue Hu collaborates with scholars based in China, United States and United Kingdom. Yue Hu's co-authors include Mathews Jacob, Sajan Goud Lingala, Edward DiBella, Richard Blake, Lhadi Merhari, Kenneth E. Gonsalves, David R. Emerson, Huixiang Wu, J. A. Scott and Greg Ongie and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yue Hu

65 papers receiving 1.3k citations

Hit Papers

Accelerated Dynamic MRI Exploiting Sparsity and Low-Rank ... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Hu China 16 547 412 289 239 160 77 1.3k
Glenn H. Chapman Canada 18 225 0.4× 140 0.3× 116 0.4× 418 1.7× 707 4.4× 188 1.2k
Thomas Kœhler Germany 15 520 1.0× 67 0.2× 293 1.0× 77 0.3× 155 1.0× 29 1.4k
Hari Sundar United States 21 192 0.4× 533 1.3× 510 1.8× 109 0.5× 83 0.5× 76 1.4k
Yanhua Wang China 17 120 0.2× 151 0.4× 251 0.9× 154 0.6× 138 0.9× 120 1.1k
Kenneth W. Tobin United States 21 857 1.6× 67 0.2× 673 2.3× 170 0.7× 156 1.0× 111 1.6k
Peng Feng China 19 383 0.7× 28 0.1× 383 1.3× 354 1.5× 312 1.9× 116 1.1k
Shuxu Guo China 20 282 0.5× 31 0.1× 298 1.0× 213 0.9× 429 2.7× 83 1.1k
Yang Song China 21 62 0.1× 146 0.4× 990 3.4× 142 0.6× 176 1.1× 160 1.5k
Yun He China 18 191 0.3× 36 0.1× 633 2.2× 463 1.9× 73 0.5× 89 1.4k
C. Morandi Italy 14 70 0.1× 32 0.1× 428 1.5× 233 1.0× 392 2.5× 69 1.1k

Countries citing papers authored by Yue Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yue Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Hu. A scholar is included among the top collaborators of Yue Hu 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 Yue Hu. Yue Hu 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.
Chen, Cui, et al.. (2025). Semi-Supervised Echocardiography Video Segmentation via Adaptive Spatio-Temporal Tensor Semantic Awareness and Memory Flow. IEEE Transactions on Medical Imaging. 44(5). 2182–2193. 1 indexed citations
2.
Hu, Yue, et al.. (2025). Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction. Medical Image Analysis. 101. 103481–103481. 1 indexed citations
3.
Hu, Yue, et al.. (2025). Digital twinning of temperature fields for modular multilayer multiphase pipeline structures. SHILAP Revista de lepidopterología. 2(3).
4.
Hu, Yue, Yujie Wu, Kai Ke, et al.. (2025). Flash annealing boosts piezoelectricity of PVDF-TrFE. Nature Communications. 16(1). 11147–11147.
5.
Zhao, Ling, et al.. (2025). Clinical benefits of central pancreatectomy for a patient with pancreatic schwannoma and diabetes. World Journal of Surgical Oncology. 23(1). 2–2.
6.
Hu, Yue, et al.. (2024). T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction. Computers in Biology and Medicine. 170. 108034–108034. 4 indexed citations
8.
Hu, Yue, et al.. (2024). Deep magnetic resonance fingerprinting based on Local and Global Vision Transformer. Medical Image Analysis. 95. 103198–103198. 5 indexed citations
9.
Hu, Yue, et al.. (2024). Cooperative-Net: An end-to-end multi-task interaction network for unified reconstruction and segmentation of MR image. Computer Methods and Programs in Biomedicine. 245. 108045–108045. 2 indexed citations
10.
Zhang, Jiyao, et al.. (2024). Preparation of a novel melamine formaldehyde resin with palmitoylated melamine involved and its functional coating. International Journal of Adhesion and Adhesives. 132. 103670–103670. 4 indexed citations
11.
Hu, Yue, et al.. (2024). Improved MRF Reconstruction via Structure-Preserved Graph Embedding Framework. IEEE Transactions on Image Processing. 33. 5989–6001.
12.
Hu, Yue, et al.. (2024). Enhancing MRF Reconstruction: A Model-Based Deep Learning Approach Leveraging Learned Sparsity and Physics Priors. IEEE Transactions on Computational Imaging. 10. 1221–1234.
13.
Hu, Yue, et al.. (2023). Tensor robust principal component analysis based on Bayesian Tucker decomposition for thermographic inspection. Mechanical Systems and Signal Processing. 204. 110761–110761. 3 indexed citations
14.
Zhou, Xinyu, et al.. (2023). Deep Low-Rank and Sparse Patch-Image Network for Infrared Dim and Small Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 11 indexed citations
15.
Hu, Yue, et al.. (2023). Learned Tensor Low-CP-Rank and Bloch Response Manifold Priors for Non-Cartesian MRF Reconstruction. IEEE Transactions on Medical Imaging. 42(12). 3702–3714. 7 indexed citations
16.
Chen, Jialei, et al.. (2022). Motion-aligned 4D-MRI reconstruction using higher degree total variation and locally low-rank regularization. Magnetic Resonance Imaging. 93. 97–107. 3 indexed citations
17.
Zhou, Xinyu, et al.. (2022). Hyperspectral Image Restoration Using 3-D Hybrid Higher Degree Total Variation Regularized Nonconvex Local Low-Rank Tensor Recovery. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations
18.
Hu, Yue, Xiaodi Li, Yanfeng Gu, & Mathews Jacob. (2019). Hyperspectral Image Recovery Using Nonconvex Sparsity and Low-Rank Regularizations. IEEE Transactions on Geoscience and Remote Sensing. 58(1). 532–545. 14 indexed citations
19.
Hu, Yue, Xiaohan Liu, & Mathews Jacob. (2018). A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery. IEEE Transactions on Medical Imaging. 38(8). 1841–1851. 23 indexed citations
20.
Niu, Wenjia, Gang Li, Endong Tong, et al.. (2014). A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network. Journal of Network and Computer Applications. 44. 120–133.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026