Le An

2.5k citations

78 papers · 1.8k indexed · h-index 24

Impact in

Computer Vision and Pattern Recognition top 1%
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Human Pose and Action Recognition
- Face and Expression Recognition
Neurology top 5%
- Brain Tumor Detection and Classification

Papers in ⓘ

Computer Vision and Pattern Recognition 50
- Video Surveillance and Tracking Methods 21
- Face and Expression Recognition 18
- Face recognition and analysis 16
- Advanced Image and Video Retrieval Techniques 16
- Human Pose and Action Recognition 11
- Image Retrieval and Classification Techniques 7
Artificial Intelligence 14
- Anomaly Detection Techniques and Applications 5

Co-authors: Bir Bhanu (32 shared papers)Dinggang Shen (17 shared papers)Songfan Yang (20 shared papers)Xiaojing Chen (14 shared papers)Mehran Kafai (10 shared papers)Feng Shi (7 shared papers)Ehsan Adeli (7 shared papers)Weili Lin (4 shared papers)
Journals: Neurocomputing (6 papers)IEEE Transactions on Circuits and Systems for Video Technology (4 papers)Geological Journal (3 papers)Scientific Reports (2 papers)Pattern Recognition (2 papers)
Partner nations: United States China South Korea

In The Last Decade

Le An

74 papers receiving 1.8k citations

Peers

Replace Tao Zhou with:

Tao Zhou China

Kim‐Han Thung United States

Emad Fatemizadeh Iran

Liang Sun China

Vikas Singh United States

Suyash P. Awate United States

Kayhan Batmanghelich United States

Kai Ma China

Jian Cheng China

Dazhe Zhao China

Le An relative to Tao Zhou China Tao Zhou's profile →

Citations per field

00.5×2×4×5.9×

Tao Zhou · 1×

×0.7 945/1k

CVPR

×0.7 194/292

NEURO

×0.7 11/16

CM

×0.4 421/1k

RNMI

×0.5 151/291

MT

Citations per year

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2025

Countries citing papers authored by Le An

Since Specialization

Citations

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

Fields of papers citing papers by Le An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Le An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Le An Line = papers co-authored together Le An links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI Neurocomputing ·Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang, Dinggang Shen	2017	208
2	Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images IEEE Journal of Biomedical and Health Informatics ·Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen	2017	116
3	Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis Pattern Recognition ·Jialin Peng, Xiaofeng Zhu, Ye Wang, Le An, Dinggang Shen	2018	86
4	Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data NeuroImage ·Ehsan Adeli, Feng Shi, Le An, Chong-Yaw Wee, Guorong Wu, Tao Wang, Dinggang Shen	2016	84
5	Connectivity strength‐weighted sparse group representation‐based brain network construction for MCI classification Human Brain Mapping ·Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen	2017	80
6	Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ehsan Adeli, Kim‐Han Thung, Le An, Guorong Wu, Feng Shi, Tao Wang, Dinggang Shen	2018	74
7	Person Reidentification With Reference Descriptor IEEE Transactions on Circuits and Systems for Video Technology ·Le An, Mehran Kafai, Songfan Yang, Bir Bhanu	2015	71
8	Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI IEEE Transactions on Biomedical Engineering ·Yan Wang, Dinggang Shen, Guangkai Ma, Le An, Feng Shi, Pei Zhang, David S. Lalush, Xi Wu, Yi‐Fei Pu, Jiliu Zhou	2016	65
9	Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation Physics in Medicine and Biology ·Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Feng Shi, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen	2016	61
10	Face image super-resolution using 2D CCA Signal Processing ·Le An, Bir Bhanu	2013	61
11	Efficient smile detection by Extreme Learning Machine Neurocomputing ·Le An, Songfan Yang, Bir Bhanu	2014	55
12	Person Re-Identification by Robust Canonical Correlation Analysis IEEE Signal Processing Letters ·Le An, Songfan Yang, Bir Bhanu	2015	52
13	Reference-based person re-identification Le An, Mehran Kafai, Songfan Yang, Bir Bhanu	2013	52
14	Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson’s Disease Scientific Reports ·Ehsan Adeli, Guorong Wu, Behrouz Saghafi, Le An, Feng Shi, Dinggang Shen	2017	49
15	Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation IEEE Transactions on Image Processing ·Le An, Pei Zhang, Ehsan Adeli, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen	2016	43
16	Image super-resolution by extreme learning machine Le An, Bir Bhanu	2012	42
17	Sparse representation matching for person re-identification Information Sciences ·Le An, Xiaojing Chen, Songfan Yang, Bir Bhanu	2016	42
18	Person Re-identification by Multi-hypergraph Fusion IEEE Transactions on Neural Networks and Learning Systems ·Le An, Xiaojing Chen, Songfan Yang, Xuelong Li	2016	40
19	Reference Face Graph for Face Recognition IEEE Transactions on Information Forensics and Security ·Mehran Kafai, Le An, Bir Bhanu	2014	38
20	Improving person re-identification by soft biometrics based reranking Le An, Xiaojing Chen, Mehran Kafai, Songfan Yang, Bir Bhanu	2013	35

About Le An

Le An is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering and Molecular Biology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (21 papers), Face and Expression Recognition (18 papers), Face recognition and analysis (16 papers), Advanced Image and Video Retrieval Techniques (16 papers), Human Pose and Action Recognition (11 papers), Image Retrieval and Classification Techniques (7 papers), Gait Recognition and Analysis (6 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (945 citations), Neurology (194 citations), Computational Mathematics (11 citations), Radiology, Nuclear Medicine and Imaging (421 citations) and Media Technology (151 citations). Le An has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Bir Bhanu, Dinggang Shen, Songfan Yang, Xiaojing Chen, Mehran Kafai, Feng Shi, Ehsan Adeli, Weili Lin, Guorong Wu and Dong Nie. Their work appears in journals such as Neurocomputing, IEEE Transactions on Circuits and Systems for Video Technology, Geological Journal, Scientific Reports and Pattern Recognition.

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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