Le Han

419 total citations
28 papers, 311 citations indexed

About

Le Han is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Le Han has authored 28 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computational Mechanics. Recurrent topics in Le Han's work include Optical Coherence Tomography Applications (11 papers), Sparse and Compressive Sensing Techniques (8 papers) and Corneal surgery and disorders (7 papers). Le Han is often cited by papers focused on Optical Coherence Tomography Applications (11 papers), Sparse and Compressive Sensing Techniques (8 papers) and Corneal surgery and disorders (7 papers). Le Han collaborates with scholars based in China, Canada and Singapore. Le Han's co-authors include Xiaowei Yang, Xiaolan Liu, Kostadinka Bizheva, Zohreh Hosseinaee, Bingyao Tan, Luigina Sorbara, Lifang He, Sentao Chen, Gaohang Yu and Denise Hileeto and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Cybernetics and Remote Sensing.

In The Last Decade

Le Han

27 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Le Han China	10	108	82	78	64	55	28	311
Yuming Jiang China	8	33 0.3×	123 1.5×	178 2.3×	52 0.8×	84 1.5×	29	360
Xiangjiu Che China	9	44 0.4×	32 0.4×	90 1.2×	38 0.6×	13 0.2×	34	252
Weidong Zhao China	11	20 0.2×	83 1.0×	284 3.6×	51 0.8×	24 0.4×	59	410
Kolmogorov United States	4	22 0.2×	60 0.7×	444 5.7×	38 0.6×	8 0.1×	4	520
Fengze Liu United States	6	78 0.7×	171 2.1×	319 4.1×	148 2.3×	8 0.1×	10	473
Zixun Guo China	9	54 0.5×	20 0.2×	32 0.4×	71 1.1×	4 0.1×	33	278
Jingfei He China	9	54 0.5×	119 1.5×	75 1.0×	39 0.6×		40	351
Nick Pawlowski United Kingdom	6	46 0.4×	127 1.5×	93 1.2×	122 1.9×	6 0.1×	11	299
Pavel Kisilev United States	9	18 0.2×	86 1.0×	164 2.1×	118 1.8×	3 0.1×	31	313

Countries citing papers authored by Le Han

Since Specialization

Citations

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

Fields of papers citing papers by Le Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Han

This figure shows the co-authorship network connecting the top 25 collaborators of Le Han. A scholar is included among the top collaborators of Le 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 Le Han. Le Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Han, Le, Bingyao Tan, Leopold Schmetterer, & Kostadinka Bizheva. (2023). Localized transverse flow measurement with dynamic light scattering line-scan OCT. Biomedical Optics Express. 14(2). 883–883. 1 indexed citations

Han, Le & Kostadinka Bizheva. (2023). Correcting spatial-spectral crosstalk and chromatic aberrations in broadband line-scan spectral-domain OCT images. Biomedical Optics Express. 14(7). 3344–3344. 5 indexed citations

Chen, Keyu, et al.. (2023). Powell lens-based line-field spectral domain optical coherence tomography system for cellular resolution imaging of biological tissue. Biomedical Optics Express. 14(5). 2003–2003. 13 indexed citations

Han, Le, et al.. (2022). Weighted Group Sparsity-Constrained Tensor Factorization for Hyperspectral Unmixing. Remote Sensing. 14(2). 383–383. 7 indexed citations

Han, Le, et al.. (2022). Line-scanning SD-OCT for in-vivo, non-contact, volumetric, cellular resolution imaging of the human cornea and limbus. Biomedical Optics Express. 13(7). 4007–4007. 20 indexed citations

Chen, Sentao, et al.. (2020). Subspace Distribution Adaptation Frameworks for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems. 31(12). 5204–5218. 42 indexed citations

Bizheva, Kostadinka, et al.. (2020). In-vivo, non-contact, cellular resolution imaging of the human cornea and limbus with a line-scan OCT. OTu2E.3–OTu2E.3. 1 indexed citations

Hosseinaee, Zohreh, et al.. (2019). Fully automated segmentation algorithm for corneal nerves analysis from in-vivo UHR-OCT images. Investigative Ophthalmology & Visual Science. 60(9). 167–167. 1 indexed citations

Han, Le, Zohreh Hosseinaee, Elizabeth L. Irving, et al.. (2019). Imaging the fibrous structure of the ocular sclera with UHR-OCT. Investigative Ophthalmology & Visual Science. 60(9). 1299–1299. 1 indexed citations

10.

Tan, Bingyao, et al.. (2019). High resolution line-field SD-OCT with 2.5 kHz frame rate for cellular resolution imaging of biological tissue. 2 indexed citations

11.

Yang, Xiaowei, et al.. (2018). A Sequentially Truncated Higher Order Singular Value Decomposition-Based Algorithm for Tensor Completion. IEEE Transactions on Cybernetics. 49(5). 1956–1967. 31 indexed citations

12.

Tan, Bingyao, et al.. (2018). 250 kHz, 15 µm resolution SD-OCT for in-vivo cellular imaging of the human cornea. Biomedical Optics Express. 9(12). 6569–6569. 67 indexed citations

13.

Bizheva, Kostadinka, Zohreh Hosseinaee, Bingyao Tan, et al.. (2018). In-vivo imaging of the healthy and pathological human limbus with 250 kHz, axicon lens-based, 1-µm axial resolution SD-OCT. Investigative Ophthalmology & Visual Science. 59(9). 293–293. 1 indexed citations

14.

Han, Le, et al.. (2017). A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising. IEEE Transactions on Medical Imaging. 37(4). 941–954. 21 indexed citations

15.

Han, Le, et al.. (2017). Online multilinear principal component analysis. Neurocomputing. 275. 888–896. 18 indexed citations

16.

Han, Le, et al.. (2017). Two-stage convex relaxation approach to low-rank and sparsity regularized least squares loss. Journal of Global Optimization. 70(1). 71–97. 2 indexed citations

17.

Han, Le, et al.. (2015). Two-stage convex relaxation approach to least squares loss constrained low-rank plus sparsity optimization problems. Computational Optimization and Applications. 64(1). 119–148. 3 indexed citations

18.

Yang, Xiaowei, Le Han, Yan Li, & Lifang He. (2014). A bilateral-truncated-loss based robust support vector machine for classification problems. Soft Computing. 19(10). 2871–2882. 10 indexed citations

19.

Han, Le, et al.. (2014). A GA-based feature selection and parameter optimization for linear support higher-order tensor machine. Neurocomputing. 144. 408–416. 27 indexed citations

20.

Han, Le, et al.. (2012). Nonsingularity of FB system and constraint nondegeneracy in semidefinite programming. Numerical Algorithms. 62(1). 79–113. 1 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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