Chun-Hao P. Huang

948 citations
26 papers · 463 indexed · h-index 9

Chun-Hao P. Huang

24 papers receiving 451 citations

Peers

Chun-Hao P. Huang
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 359
  • Computer Graphics and Computer-Aided Design 38
  • Human-Computer Interaction 43
  • Computational Mechanics 106
  • Control and Systems Engineering 85
Replace Di Kang with:
Di Kang China
Liang-Yan Gui United States
Xukun Shen China
Jiemin Fang China
Kai Berger Germany
Chongjian Ge Hong Kong
Tanner Schmidt United States
Mike Bailey United States
Chun-Hao P. Huang relative to Di Kang China Di Kang's profile →
Citations per field
00.5×10×15×20×23×
Di Kang · 1×
Citations per year

Countries citing papers authored by Chun-Hao P. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Hao P. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chun-Hao P. 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 Chun-Hao P. Huang Line = papers co-authored together Chun-Hao P. Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20246
4 20241
5 20234
6 20234
7 202333
8 202361
9 202242
10 202266
11 20215
12 20200
13 20201
14 20202
15 20179
16 20167
17 20153
18 20157
19 20155
20 20109

About Chun-Hao P. Huang

Chun-Hao P. Huang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Signal Processing, Human-Computer Interaction and Instrumentation, having authored 26 papers that have together received 463 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), 3D Shape Modeling and Analysis (9 papers), Advanced Vision and Imaging (8 papers), Human Motion and Animation (5 papers), Video Surveillance and Tracking Methods (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Video Analysis and Summarization (2 papers) and Video Coding and Compression Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Computer Graphics and Computer-Aided Design (38 citations), Human-Computer Interaction (43 citations), Computational Mechanics (106 citations) and Control and Systems Engineering (85 citations). Chun-Hao P. Huang has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Michael J. Black, Yu-Chiang Frank Wang, Yi-Ren Yeh, Duygu Ceylan, Niloy J. Mitra, Dimitrios Tzionas, Hongwei Yi, Justus Thies, Siyu Tang and Omid Taheri. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Image Processing and IEEE Robotics and Automation Letters.

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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