De-An Huang

129 total papers · 4.0k total citations
44 papers, 1.4k citations indexed

About

De-An Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Epidemiology. According to data from OpenAlex, De-An Huang has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Epidemiology. Recurrent topics in De-An Huang's work include Human Pose and Action Recognition (13 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Vision and Imaging (6 papers). De-An Huang is often cited by papers focused on Human Pose and Action Recognition (13 papers), Multimodal Machine Learning Applications (10 papers) and Advanced Vision and Imaging (6 papers). De-An Huang collaborates with scholars based in United States, Taiwan and France. De-An Huang's co-authors include Yu-Chiang Frank Wang, Juan Carlos Niebles, Li Fei-Fei, Li‐Wei Kang, Chia‐Wen Lin, Ehsan Adeli, Kris Kitani, Wei-Chiu Ma, Namhoon Lee and Kuan-Hui Lee and has published in prestigious journals such as Nature Communications, Veterinary Microbiology and IEEE Transactions on Multimedia.

In The Last Decade

De-An Huang

40 papers receiving 1.3k citations

Author Peers

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

Author						Papers	Cites
De-An Huang	1.1k	403	140	137	125	44	1.4k
Carlos Sampedro	734 0.7×	234 0.6×	216 1.5×	58 0.4×	103 0.8×	28	1.4k
Lijun Zhao	458 0.4×	114 0.3×	214 1.5×	39 0.3×	92 0.7×	97	1.1k
Yuan Shi	927 0.9×	1.3k 3.1×	117 0.8×	108 0.8×	65 0.5×	28	1.8k
Sultan Daud Khan	824 0.8×	449 1.1×	32 0.2×	150 1.1×	187 1.5×	84	1.5k
Minh Hoai	1.2k 1.2×	491 1.2×	50 0.4×	132 1.0×	92 0.7×	60	1.5k
Claudio Piciarelli	873 0.8×	657 1.6×	41 0.3×	51 0.4×	196 1.6×	52	1.4k
Xu Yang	643 0.6×	253 0.6×	82 0.6×	139 1.0×	55 0.4×	83	1.2k
Mingyu Fan	704 0.7×	558 1.4×	95 0.7×	127 0.9×	40 0.3×	65	1.2k
Khoa Luu	1.1k 1.1×	406 1.0×	48 0.3×	63 0.5×	101 0.8×	93	1.7k
Xingyu Li	409 0.4×	536 1.3×	207 1.5×	40 0.3×	165 1.3×	57	1.1k

Countries citing papers authored by De-An Huang

Since Specialization

Citations

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

Fields of papers citing papers by De-An Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De-An Huang

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