Le An

2.5k total citations
78 papers, 1.8k citations indexed

About

Le An is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Le An has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Le An's work include Video Surveillance and Tracking Methods (21 papers), Face and Expression Recognition (18 papers) and Face recognition and analysis (16 papers). Le An is often cited by papers focused on Video Surveillance and Tracking Methods (21 papers), Face and Expression Recognition (18 papers) and Face recognition and analysis (16 papers). Le An collaborates with scholars based in United States, China and South Korea. Le An's co-authors include Bir Bhanu, Dinggang Shen, Songfan Yang, Xiaojing Chen, Mehran Kafai, Feng Shi, Ehsan Adeli, Weili Lin, Guorong Wu and Yu Qiao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Le An

74 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Le An United States 24 945 421 366 309 194 78 1.8k
Vikas Singh United States 26 995 1.1× 440 1.0× 544 1.5× 146 0.5× 267 1.4× 120 2.5k
Tae‐Seong Kim South Korea 20 648 0.7× 324 0.8× 377 1.0× 450 1.5× 212 1.1× 65 2.0k
Junding Sun China 18 612 0.6× 320 0.8× 462 1.3× 143 0.5× 358 1.8× 90 1.5k
Kim‐Han Thung United States 22 552 0.6× 324 0.8× 597 1.6× 137 0.4× 411 2.1× 57 1.9k
Liang Sun China 19 563 0.6× 509 1.2× 675 1.8× 112 0.4× 254 1.3× 90 1.8k
Ruogu Fang United States 18 590 0.6× 662 1.6× 273 0.7× 181 0.6× 129 0.7× 71 1.6k
Kai Ma China 27 730 0.8× 764 1.8× 717 2.0× 317 1.0× 135 0.7× 118 2.5k
Svitlana Zinger Netherlands 20 472 0.5× 293 0.7× 201 0.5× 175 0.6× 41 0.2× 107 1.4k
Jian Cheng China 23 890 0.9× 426 1.0× 234 0.6× 99 0.3× 92 0.5× 99 1.7k
Tao Zhou China 25 1.3k 1.4× 1.1k 2.5× 1.1k 2.9× 191 0.6× 292 1.5× 97 3.0k

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-authorship network of co-authors of Le An

This figure shows the co-authorship network connecting the top 25 collaborators of Le An. A scholar is included among the top collaborators of Le An 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 An. Le An 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.
An, Le, et al.. (2025). Performance of LIF neuron circuit based on threshold switching memristors. Materials Science in Semiconductor Processing. 192. 109428–109428. 1 indexed citations
2.
Fan, Hongjun, et al.. (2025). Meta-fence for Rayleigh wave isolation. Extreme Mechanics Letters. 77. 102350–102350.
3.
Liang, H., Ting Jiang, Yu Wang, et al.. (2025). Artificial Neurons Based on a Threshold Switching Memristor with Ultralow Threshold Voltage. ACS Applied Electronic Materials. 7(7). 3019–3029. 4 indexed citations
4.
Hossain, Shakhawat & Le An. (2021). Optimal shrinkage estimations in partially linear single-index models for binary longitudinal data. Test. 30(4). 811–835. 2 indexed citations
5.
Tian, Chong, et al.. (2019). An Improved Uncertainty Measure Theory Based on Game Theory Weighting. Mathematical Problems in Engineering. 2019(1). 10 indexed citations
6.
Peng, Jialin, et al.. (2018). Structured sparsity regularized multiple kernel learning for Alzheimer’s disease diagnosis. Pattern Recognition. 88. 370–382. 86 indexed citations
7.
Zhang, Jun, Mingxia Liu, Le An, Yaozong Gao, & Dinggang Shen. (2017). Landmark-Based Alzheimer’s Disease Diagnosis Using Longitudinal Structural MR Images. Lecture notes in computer science. 10081. 35–45. 5 indexed citations
8.
An, Le, Ehsan Adeli, Mingxia Liu, et al.. (2017). A Hierarchical Feature and Sample Selection Framework and Its Application for Alzheimer’s Disease Diagnosis. Scientific Reports. 7(1). 45269–45269. 24 indexed citations
9.
Xiang, Lei, Yu Qiao, Dong Nie, et al.. (2017). Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI. Neurocomputing. 267. 406–416. 208 indexed citations
10.
Wang, Yan, Pei Zhang, Le An, et al.. (2016). Predicting standard-dose PET image from low-dose PET and multimodal MR images using mapping-based sparse representation. Physics in Medicine and Biology. 61(2). 791–812. 61 indexed citations
11.
An, Le, et al.. (2016). Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer’s Disease Diagnosis. Lecture notes in computer science. 9901. 70–78. 30 indexed citations
12.
Yu, Renping, Han Zhang, Le An, et al.. (2016). Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. Lecture notes in computer science. 9900. 37–45. 16 indexed citations
13.
An, Le, Xiaojing Chen, Songfan Yang, & Xuelong Li. (2016). Person Re-identification by Multi-hypergraph Fusion. IEEE Transactions on Neural Networks and Learning Systems. 28(11). 2763–2774. 40 indexed citations
14.
An, Le, Ehsan Adeli, Mingxia Liu, Jun Zhang, & Dinggang Shen. (2016). Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer’s Disease Diagnosis. Lecture notes in computer science. 9901. 79–87. 11 indexed citations
15.
Wang, Yan, Dinggang Shen, Le An, et al.. (2016). Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Transactions on Biomedical Engineering. 64(3). 569–579. 65 indexed citations
16.
Adeli, Ehsan, Feng Shi, Le An, et al.. (2016). Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data. NeuroImage. 141. 206–219. 84 indexed citations
17.
Adeli, Ehsan, Kim‐Han Thung, Le An, Feng Shi, & Dinggang Shen. (2015). Robust feature-sample linear discriminant analysis for brain disorders diagnosis. Neural Information Processing Systems. 28. 658–666. 20 indexed citations
18.
Kafai, Mehran, Bir Bhanu, & Le An. (2015). Cluster-Classification Bayesian Networks for Head Pose Estimation. 2 indexed citations
19.
Yang, Songfan, Le An, Bir Bhanu, & Ninad Thakoor. (2013). Improving action units recognition using dense flow-based face registration in video. 1–8. 7 indexed citations
20.
An, Le, Mehran Kafai, & Bir Bhanu. (2012). Face recognition in multi-camera surveillance videos using Dynamic Bayesian Network. 1–6. 9 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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