Le Dong

800 total citations
30 papers, 537 citations indexed

About

Le Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Le Dong has authored 30 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Le Dong's work include Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (11 papers) and Visual Attention and Saliency Detection (5 papers). Le Dong is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (11 papers) and Visual Attention and Saliency Detection (5 papers). Le Dong collaborates with scholars based in China, United Kingdom and Sweden. Le Dong's co-authors include Liang Lin, Xiang He, Guanbin Li, Wei Zhang, Huiyou Chang, Fan Yang, Ebroul Izquierdo, Qianni Zhang, Yuefang Gao and Tianshui Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Le Dong

29 papers receiving 524 citations

Peers

Le Dong
Lu Chi China
Seungjoon Yang South Korea
Po-Chyi Su Taiwan
Jae‐Joon Han South Korea
T.E. Boult United States
Lu Chi China
Le Dong
Citations per year, relative to Le Dong Le Dong (= 1×) peers Lu Chi

Countries citing papers authored by Le Dong

Since Specialization
Citations

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

Fields of papers citing papers by Le Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Le Dong. A scholar is included among the top collaborators of Le Dong 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 Dong. Le Dong 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.
Li, Yilong, Linyan Wang, Xingru Huang, et al.. (2023). Sketch-Supervised Histopathology Tumour Segmentation: Dual CNN-Transformer With Global Normalised CAM. IEEE Journal of Biomedical and Health Informatics. 28(1). 66–77. 8 indexed citations
2.
Gao, Bingkun, et al.. (2021). Focus on temporal graph convolutional networks with unified attention for skeleton-based action recognition. Applied Intelligence. 52(5). 5608–5616. 9 indexed citations
3.
Gao, Bingkun, et al.. (2021). A Lightweight-Grouped Model for Complex Action Recognition. Pattern Recognition and Image Analysis. 31(4). 749–757.
4.
Huang, Xingru, et al.. (2020). Signet Ring Cells Detection in Histology Images with Similarity Learning. 490–494. 3 indexed citations
5.
Dong, Le, et al.. (2020). Relationship Between Geological Characteristics and Key Parameters of Large-Diameter EPB Shields. Soil Mechanics and Foundation Engineering. 57(3). 256–264. 7 indexed citations
6.
Dong, Le, et al.. (2019). Policy multi-region integration for video description. 1 indexed citations
7.
Xu, Zhaoyang, Carina Strell, Carlos Fernández Moro, et al.. (2018). Detection of Breast Tumour Tissue Regions in Histopathological Images using Convolutional Neural Networks. 98–103. 10 indexed citations
8.
Xu, Zhaoyang, et al.. (2018). Tissue Region Growing for Hispathology Image Segmentation. 86–92. 4 indexed citations
9.
Dong, Le, et al.. (2017). Color space quantization-based clustering for image retrieval. Frontiers of Computer Science. 11(6). 1023–1035. 8 indexed citations
10.
Ali, Mushtaq, et al.. (2017). Multi-panel medical image segmentation framework for image retrieval system. Multimedia Tools and Applications. 77(16). 20271–20295. 9 indexed citations
11.
Dong, Le, et al.. (2017). E-GrabCut: an economic method of iterative video object extraction. Frontiers of Computer Science. 11(4). 649–660. 3 indexed citations
12.
Dong, Le, Yan Liang, Ning Zhang, et al.. (2016). A Hierarchical Distributed Processing Framework for Big Image Data. IEEE Transactions on Big Data. 2(4). 297–309. 15 indexed citations
13.
Dong, Le, et al.. (2016). Holons Visual Representation for Image Retrieval. IEEE Transactions on Multimedia. 18(4). 714–725. 12 indexed citations
14.
15.
Yang, Fan, et al.. (2013). Physiological inverse tone mapping based on retina response. The Visual Computer. 30(5). 507–517. 91 indexed citations
16.
Dong, Le, Su Jiang, & Ebroul Izquierdo. (2012). Scene-Oriented Hierarchical Classification of Blurry and Noisy Images. IEEE Transactions on Image Processing. 21(5). 2534–2545. 10 indexed citations
17.
Dong, Le, et al.. (2010). An Intelligent Personalized Fashion Recommendation System. 479–485. 15 indexed citations
18.
Dong, Le & Ebroul Izquierdo. (2008). A topology synthesizing approach for classification of visual information. 187. 373–380. 1 indexed citations
19.
Dong, Le, et al.. (2008). Global-to-local oriented perception on blurry visual information. 20. 2168–2171. 1 indexed citations
20.
Dong, Le & Ebroul Izquierdo. (2007). A Biologically Inspired System for Classification of Natural Images. IEEE Transactions on Circuits and Systems for Video Technology. 17(5). 590–603. 16 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026