Jason Huang

423 citations
23 papers · 304 indexed · h-index 7

Jason Huang

19 papers receiving 282 citations

Peers

Jason Huang
Comparison fields: 5 of 65
  • Structural Biology 17
  • Human-Computer Interaction 56
  • Computational Mechanics 71
  • Biomedical Engineering 150
  • Cognitive Neuroscience 56
Replace Adrian Travis with:
Adrian Travis United Kingdom
Ulrich Gengenbach Germany
Kamran Qaderi United States
Ventseslav Sainov Bulgaria
Nathan Matsuda United States
Zhao Jiang China
Munkh‐Uchral Erdenebat South Korea
Wen-Shing Sun Taiwan
Ryo Sakurai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jason Huang

Since Specialization
Citations

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

Fields of papers citing papers by Jason Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jason Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason Huang Line = papers co-authored together Jason Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20239
2 20192
3 20161
4 20151
5 20151
6 20147
7 20131
8 20133
9 20135
10 201213
11 20127
12 2011163
13 20113
14 201162
15 20103
16 20109
17 20091
18 20031
19 20021
20 20016

About Jason Huang

Jason Huang is a scholar working on Surfaces, Coatings and Films, Human-Computer Interaction, Structural Biology, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 304 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (7 papers), Electron and X-Ray Spectroscopy Techniques (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Tactile and Sensory Interactions (5 papers), Image Enhancement Techniques (4 papers), Advanced Vision and Imaging (3 papers), Interactive and Immersive Displays (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Structural Biology (17 citations), Human-Computer Interaction (56 citations), Computational Mechanics (71 citations), Biomedical Engineering (150 citations) and Cognitive Neuroscience (56 citations). Jason Huang has collaborated with scholars based in Canada, United States and Taiwan. Frequent co-authors include David C. Ferranti, Lewis Stern, Jijin Yang, Colin A. Sanford, Zheng Ren, Adam R. Hall, Raymond Lo, Ryan Janzen, Steve Mann and Alexander Chen. Their work appears in journals such as Microscopy and Microanalysis, Nanotechnology, Molecular Therapy — Nucleic Acids, International Journal of Software Science and Computational Intelligence and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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