Gary B. Huang

8.1k total citations · 1 hit paper
16 papers, 3.3k citations indexed

About

Gary B. Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Gary B. Huang has authored 16 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Gary B. Huang's work include Face recognition and analysis (6 papers), Handwritten Text Recognition Techniques (5 papers) and Face and Expression Recognition (5 papers). Gary B. Huang is often cited by papers focused on Face recognition and analysis (6 papers), Handwritten Text Recognition Techniques (5 papers) and Face and Expression Recognition (5 papers). Gary B. Huang collaborates with scholars based in United States. Gary B. Huang's co-authors include Marwan Mattar, Tamara L. Berg, Erik Learned-Miller, Vidit Jain, Honglak Lee, Ron Bekkerman, Andrew McCallum, Viren Jain, Andrew McCallum and Carl Doersch and has published in prestigious journals such as Journal of Machine Learning Research, ArXiv.org and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Gary B. Huang

14 papers receiving 3.2k citations

Hit Papers

Labeled Faces in the Wild: A Database forStudying Face Re... 2008 2026 2014 2020 2008 500 1000 1.5k 2.0k 2.5k

Peers

Gary B. Huang
Marwan Mattar United States
Yun Fu United States
Jaesik Min United States
Henry A. Rowley United States
Juhan Nam South Korea
William J. Worek United States
Marwan Mattar United States
Gary B. Huang
Citations per year, relative to Gary B. Huang Gary B. Huang (= 1×) peers Marwan Mattar

Countries citing papers authored by Gary B. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Gary B. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary B. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Gary B. Huang. A scholar is included among the top collaborators of Gary B. 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 Gary B. Huang. Gary B. Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Huang, Gary B. & Viren Jain. (2014). Deep and Wide Multiscale Recursive Networks for Robust Image Labeling. International Conference on Learning Representations. 9 indexed citations
2.
Bogovic, John, Gary B. Huang, & Viren Jain. (2014). Learned versus Hand-Designed Feature Representations for 3d Agglomeration. arXiv (Cornell University). 4 indexed citations
3.
Huang, Gary B., et al.. (2012). Bounding the probability of error for high precision optical character recognition. Journal of Machine Learning Research. 13(1). 363–387. 2 indexed citations
4.
Huang, Gary B., Honglak Lee, & Erik Learned-Miller. (2012). Learning hierarchical representations for face verification. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 2 indexed citations
5.
Huang, Gary B., Marwan Mattar, Honglak Lee, & Erik Learned-Miller. (2012). Learning to Align from Scratch. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 25. 764–772. 158 indexed citations
8.
Huang, Gary B., et al.. (2010). Improving state-of-the-art OCR through high-precision document-specific modeling. 24. 1935–1942. 9 indexed citations
9.
Huang, Gary B. & Erik Learned-Miller. (2010). Learning class-specific image transformations with higher-order Boltzmann machines. Scholarworks (University of Massachusetts Amherst). 20. 25–32. 4 indexed citations
10.
Huang, Gary B., et al.. (2009). Bounding the Probability of Error for High Precision Recognition. ArXiv.org. 2 indexed citations
11.
Huang, Gary B., et al.. (2008). Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments. HAL (Le Centre pour la Communication Scientifique Directe). 2777 indexed citations breakdown →
12.
Huang, Gary B., et al.. (2008). Towards unconstrained face recognition. Scholarworks (University of Massachusetts Amherst). 1–8. 32 indexed citations
13.
Huang, Gary B., Vidit Jain, & Erik Learned-Miller. (2007). Unsupervised Joint Alignment of Complex Images. Scholarworks (University of Massachusetts Amherst). 1–8. 224 indexed citations
14.
Huang, Gary B., Erik Learned-Miller, & Andrew McCallum. (2007). Cryptogram Decoding for OCR Using Numerization Strings. Proceedings of the International Conference on Document Analysis and Recognition. 208–212. 4 indexed citations
15.
Huang, Gary B., Erik Learned-Miller, & Andrew McCallum. (2006). Cryptogram decoding for optical character recognition. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 6(45). 5 indexed citations
16.
Bekkerman, Ron, Andrew McCallum, & Gary B. Huang. (2005). Automatic Categorization of Email into Folders: Benchmark Experiments on Enron and SRI Corpora. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 91 indexed citations

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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