Vincent Hwang

733 citations
21 papers · 362 · h-index 10

Impact in

Papers in

Vincent Hwang

19 papers receiving 332 citations

Peers

Vincent Hwang
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 165
  • Media Technology 56
  • Artificial Intelligence 125
  • Hardware and Architecture 21
  • Environmental Engineering 37
Replace Zhiyuan Yan with:
Zhiyuan Yan China
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Baojun Qiao China
Lei Luo China
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Pedro J. de Rezende Brazil
Wilson A. Harvey United States
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Vincent Hwang relative to Zhiyuan Yan China Zhiyuan Yan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vincent Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Vincent Hwang, 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 Vincent Hwang Line = papers co-authored together Vincent Hwang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SIGMA: A Knowledge-Based Aerial Image Understanding System
1990110
2 202147
3 198939
4
SIGMA: a framework for image understanding integration of bottom-up and top-down analyses
198533
5 198624
6 202121
7 198919
8 201617
9 202010
10 199010
11 20228
12 19897
13
Investigating robot safety and robustness in an autonomous systems laboratory
19904
14 19923
15 19923
16 20222
17 20242
18 19892
19
Recognition of Two Dimensional Objects Using Hypothesis IntegrationTechnique
19871
20 20240

About Vincent Hwang

Vincent Hwang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Aerospace Engineering and Computer Networks and Communications, having authored 21 papers that have together received 362 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (6 papers), Coding theory and cryptography (5 papers), Robotics and Sensor-Based Localization (4 papers), Cryptography and Data Security (3 papers), Numerical Methods and Algorithms (2 papers), Advanced Vision and Imaging (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Media Technology (56 citations), Artificial Intelligence (125 citations), Hardware and Architecture (21 citations) and Environmental Engineering (37 citations). Vincent Hwang has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Takashi Matsuyama, Bo‐Yin Yang, Matthias J. Kannwischer, Larry S. Davis, Yu‐Jia Chen, Sangchul Hwang, Erdem Alkım, Bow-Yaw Wang, Ruben Niederhagen and Pradeep K. Khosla. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Construction and Building Materials, Pattern Recognition, Computer Vision Graphics and Image Processing and International Joint Conference on Artificial Intelligence.

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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