Da-Yuan Huang

62 total papers · 1.1k total citations
49 papers, 797 citations indexed

About

Da-Yuan Huang is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Da-Yuan Huang has authored 49 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Human-Computer Interaction, 30 papers in Cognitive Neuroscience and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Da-Yuan Huang's work include Tactile and Sensory Interactions (30 papers), Interactive and Immersive Displays (29 papers) and Augmented Reality Applications (10 papers). Da-Yuan Huang is often cited by papers focused on Tactile and Sensory Interactions (30 papers), Interactive and Immersive Displays (29 papers) and Augmented Reality Applications (10 papers). Da-Yuan Huang collaborates with scholars based in Taiwan, Canada and United States. Da-Yuan Huang's co-authors include Bing‐Yu Chen, Liwei Chan, Rong-Hao Liang, De-Nian Yang, Yi‐Ping Hung, Shan-Yuan Teng, Chi Wang, Xing-Dong Yang, Jun Gong and Fan Wang and has published in prestigious journals such as Nucleic Acids Research, British Journal of Pharmacology and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Da-Yuan Huang

49 papers receiving 783 citations

Author Peers

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

Author Last Decade Papers Cites
Da-Yuan Huang 594 495 159 122 64 49 797
Seokhee Jeon 422 0.7× 412 0.8× 333 2.1× 251 2.1× 120 1.9× 102 943
Anne Roudaut 637 1.1× 490 1.0× 148 0.9× 185 1.5× 90 1.4× 49 886
Andrew Crossan 461 0.8× 395 0.8× 74 0.5× 101 0.8× 38 0.6× 30 832
Timothy Merritt 420 0.7× 192 0.4× 145 0.9× 130 1.1× 66 1.0× 46 762
Jochen Huber 539 0.9× 370 0.7× 39 0.2× 302 2.5× 56 0.9× 54 800
Seung-Chan Kim 267 0.4× 390 0.8× 136 0.9× 57 0.5× 118 1.8× 62 723
Arthur E. Kirkpatrick 351 0.6× 237 0.5× 59 0.4× 288 2.4× 65 1.0× 30 850
Xin Yi 610 1.0× 413 0.8× 39 0.2× 237 1.9× 30 0.5× 55 805
Cemil Öz 247 0.4× 96 0.2× 51 0.3× 255 2.1× 131 2.0× 42 739
Frédéric Vexo 509 0.9× 320 0.6× 113 0.7× 347 2.8× 37 0.6× 57 988

Countries citing papers authored by Da-Yuan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Da-Yuan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da-Yuan Huang

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