Vincent Hwang
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Aerospace Engineering
- Computer Networks and Communications
- Co-authors
- Takashi MatsuyamaBo‐Yin YangMatthias J. KannwischerLarry S. DavisSangchul HwangYu‐Jia ChenErdem AlkımJiaxiang Liu
- Topics
- Cryptography and Residue Arithmetic (6 papers)Coding theory and cryptography (5 papers)Robotics and Sensor-Based Localization (4 papers)
- Journals
- Construction and Building MaterialsPattern RecognitionIACR Transactions on Cryptographic Hardware and Embedded Systems
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Vincent Hwang
19 papers receiving 329 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 165
- Artificial Intelligence 123
- Media Technology 56
- Aerospace Engineering 48
- Computer Networks and Communications 44
Countries citing papers authored by Vincent Hwang
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
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-authorship network of co-authors of Vincent Hwang
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Hwang. A scholar is included among the top collaborators of Vincent Hwang 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 Vincent Hwang. Vincent Hwang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 46 | |
| 7 | 10 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | Investigating robot safety and robustness in an autonomous systems laboratory | 4 |
| 13 | 10 | |
| 14 | SIGMA: A Knowledge-Based Aerial Image Understanding System | 111 |
| 15 | 19 | |
| 16 | 39 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 24 | |
| 20 | SIGMA: a framework for image understanding integration of bottom-up and top-down analyses | 33 |
About Vincent Hwang
Vincent Hwang is a scholar working on Medical Laboratory Technology, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (6 papers), Coding theory and cryptography (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Media Technology (56 citations) and Artificial Intelligence (123 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, Sangchul Hwang, Yu‐Jia Chen, Erdem Alkım, Jiaxiang Liu, Bow-Yaw Wang and Ronald Lumia. Their work appears in journals such as Construction and Building Materials, Pattern Recognition and IACR Transactions on Cryptographic Hardware and Embedded Systems.
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.