Le Dong

45 total papers · 796 total citations
30 papers, 535 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 535 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 AI in cancer 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 AI in cancer detection (5 papers). Le Dong collaborates with scholars based in China, United Kingdom and Sweden. Le Dong's co-authors include Liang Lin, Guanbin Li, Huiyou Chang, Wei Zhang, Xiang He, Fan Yang, Ebroul Izquierdo, Qianni Zhang, Tianshui Chen and Yuefang Gao 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 521 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Le Dong 468 113 107 27 22 30 535
Fang‐Hsuan Cheng 436 0.9× 70 0.6× 77 0.7× 11 0.4× 21 1.0× 30 517
Makarand Velankar 433 0.9× 130 1.2× 85 0.8× 24 0.9× 9 0.4× 21 575
Yuting Yang 201 0.4× 61 0.5× 86 0.8× 24 0.9× 12 0.5× 39 473
Vinit Jakhetiya 326 0.7× 62 0.5× 118 1.1× 22 0.8× 15 0.7× 53 490
Rui Yang 272 0.6× 162 1.4× 96 0.9× 10 0.4× 14 0.6× 43 561
Praveen Sankaran 287 0.6× 123 1.1× 101 0.9× 80 3.0× 12 0.5× 39 450
Marco Buzzelli 298 0.6× 89 0.8× 94 0.9× 16 0.6× 67 3.0× 49 507
Yang Zhao 383 0.8× 37 0.3× 97 0.9× 14 0.5× 18 0.8× 59 513
Bo Yang 410 0.9× 66 0.6× 83 0.8× 8 0.3× 7 0.3× 52 486
C. Mario Christoudias 390 0.8× 151 1.3× 102 1.0× 14 0.5× 5 0.2× 16 566

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

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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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