Deng Huang

17 total papers · 793 total citations
8 papers, 423 citations indexed

About

Deng Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Deng Huang has authored 8 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Deng Huang's work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Deng Huang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Deng Huang collaborates with scholars based in China, Taiwan and United States. Deng Huang's co-authors include Chuang Gan, Mingkui Tan, Peihao Chen, Runhao Zeng, Hang Zhao, Antonio Torralba, Joshua B. Tenenbaum, Qing Du, Dongliang He and Shilei Wen and has published in prestigious journals such as IEEE Transactions on Image Processing, Communication in Statistics- Theory and Methods and International Journal of Services and Standards.

In The Last Decade

Deng Huang

8 papers receiving 415 citations

Author Peers

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

Author Last Decade Papers Cites
Deng Huang 313 149 136 41 17 8 423
Keng Teck 324 1.0× 236 1.6× 81 0.6× 20 0.5× 18 1.1× 15 419
Moez Baccouche 375 1.2× 115 0.8× 67 0.5× 19 0.5× 20 1.2× 6 485
Dmitry Kit 216 0.7× 191 1.3× 37 0.3× 104 2.5× 15 0.9× 18 476
Yuxuan Wei 267 0.9× 85 0.6× 32 0.2× 21 0.5× 27 1.6× 5 378
Ken Fishkin 313 1.0× 71 0.5× 69 0.5× 82 2.0× 9 0.5× 12 480
Ouais Alsharif 180 0.6× 298 2.0× 71 0.5× 19 0.5× 11 0.6× 6 408
Dipan K. Pal 337 1.1× 69 0.5× 158 1.2× 20 0.5× 10 0.6× 12 434
Bipin Suresh 328 1.0× 128 0.9× 37 0.3× 42 1.0× 14 0.8× 6 464
Xingfang Yuan 270 0.9× 104 0.7× 49 0.4× 9 0.2× 35 2.1× 6 429
Edmar Rezende 208 0.7× 129 0.9× 84 0.6× 13 0.3× 25 1.5× 8 491

Countries citing papers authored by Deng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Deng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Deng Huang. A scholar is included among the top collaborators of Deng Huang 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 Deng Huang. Deng Huang 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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