Huy Tho Ho

408 total citations
10 papers, 272 citations indexed

About

Huy Tho Ho is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Huy Tho Ho has authored 10 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Huy Tho Ho's work include Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers) and Computer Graphics and Visualization Techniques (3 papers). Huy Tho Ho is often cited by papers focused on Face and Expression Recognition (4 papers), Face recognition and analysis (4 papers) and Computer Graphics and Visualization Techniques (3 papers). Huy Tho Ho collaborates with scholars based in United States and Australia. Huy Tho Ho's co-authors include Rama Chellappa, Rama Chellappa, Raghuraman Gopalan, Hien Van Nguyen, Roland Goecke, Vishal M. Patel and Jun-Cheng Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision and IET Computer Vision.

In The Last Decade

Huy Tho Ho

10 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Huy Tho Ho United States	7	227	51	47	34	32	10	272
Xianfang Zeng China	9	222 1.0×	57 1.1×	32 0.7×	75 2.2×	22 0.7×	15	290
Hwasup Lim South Korea	10	196 0.9×	25 0.5×	17 0.4×	35 1.0×	15 0.5×	37	270
Zhiguang Yang China	5	152 0.7×	25 0.5×	28 0.6×	17 0.5×	15 0.5×	9	205
Tang Yu China	2	122 0.5×	24 0.5×	15 0.3×	15 0.4×	19 0.6×	2	210
Jiaqi Lin China	8	145 0.6×	108 2.1×	10 0.2×	14 0.4×	17 0.5×	26	256
Jason Ramapuram Switzerland	3	157 0.7×	75 1.5×	6 0.1×	39 1.1×	21 0.7×	3	210
Graham McNeill United Kingdom	7	219 1.0×	12 0.2×	18 0.4×	20 0.6×	19 0.6×	13	252
Yu-Chuan Su United States	9	282 1.2×	25 0.5×	19 0.4×	68 2.0×	9 0.3×	22	311
Qi Cai China	8	314 1.4×	191 3.7×	56 1.2×	31 0.9×	7 0.2×	16	380
Yu-Ying Yeh United States	7	271 1.2×	79 1.5×	8 0.2×	24 0.7×	39 1.2×	10	325

Countries citing papers authored by Huy Tho Ho

Since Specialization

Citations

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

Fields of papers citing papers by Huy Tho Ho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huy Tho Ho. 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 Huy Tho Ho. The network helps show where Huy Tho Ho may publish in the future.

Co-authorship network of co-authors of Huy Tho Ho

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Nguyen, Hien Van, Huy Tho Ho, Vishal M. Patel, & Rama Chellappa. (2015). DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning. IEEE Transactions on Image Processing. 24(12). 5479–5491. 44 indexed citations

2.

Ho, Huy Tho & Raghuraman Gopalan. (2014). Model-Driven Domain Adaptation on Product Manifolds for Unconstrained Face Recognition. International Journal of Computer Vision. 109(1-2). 110–125. 21 indexed citations

3.

Chen, Jun-Cheng, Vishal M. Patel, Huy Tho Ho, & Rama Chellappa. (2014). Dictionary-based video face recognition using dense multi-scale facial landmark features. 1. 733–737. 1 indexed citations

4.

Ho, Huy Tho & Rama Chellappa. (2012). Pose-Invariant Face Recognition Using Markov Random Fields. IEEE Transactions on Image Processing. 22(4). 1573–1584. 95 indexed citations

5.

Ho, Huy Tho & Rama Chellappa. (2012). Automatic head pose estimation using randomly projected dense SIFT descriptors. 153–156. 32 indexed citations

6.

Ho, Huy Tho, et al.. (2009). Curvature-based approach for multi-scale feature extraction from 3D meshes and unstructured point clouds. IET Computer Vision. 3(4). 201–212. 39 indexed citations

7.

Ho, Huy Tho, et al.. (2008). Multi-scale Feature Extraction for 3D Models Using Local Surface Curvature. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 2. 16–23. 14 indexed citations

8.

Ho, Huy Tho, et al.. (2008). Multi-scale feature extraction for 3d surface registration using local shape variation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–6. 5 indexed citations

9.

Ho, Huy Tho & Roland Goecke. (2008). Optical flow estimation using Fourier Mellin Transform. ANU Open Research (Australian National University). 1–8. 19 indexed citations

10.

Ho, Huy Tho & Roland Goecke. (2007). Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields. ANU Open Research (Australian National University). III – 541. 2 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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