Randy Huang
- Electrical and Electronic Engineering
- Hardware and Architecture top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Co-authors
- John WawrzynekEriko NurvitadhiJaewoong SimDuncan J. M. MossGuy BoudoukhSrivatsan KrishnanDebbie MarrGanesh Venkatesh
- Topics
- Interconnection Networks and Systems (8 papers)Embedded Systems Design Techniques (7 papers)Parallel Computing and Optimization Techniques (5 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United StatesTürkiyeIsrael
In The Last Decade
Randy Huang
14 papers receiving 510 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 278
- Hardware and Architecture 271
- Computer Networks and Communications 202
- Computer Vision and Pattern Recognition 154
- Artificial Intelligence 96
Countries citing papers authored by Randy Huang
This map shows the geographic impact of Randy 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 Randy Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Randy Huang more than expected).
Fields of papers citing papers by Randy Huang
This network shows the impact of papers produced by Randy 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 Randy Huang. The network helps show where Randy Huang may publish in the future.
Co-authorship network of co-authors of Randy Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Randy Huang. A scholar is included among the top collaborators of Randy 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 Randy Huang. Randy Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 28 | |
| 3 | Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?breakdown → | 287 |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 50 | |
| 8 | 6 | |
| 9 | Hardware-assisted fast routing for runtime reconfigurable computing | 2 |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | Stream Computations Organized for Reconfigurable Execution (SCORE): Introduction and Tutorial | 29 |
| 14 | 87 |
About Randy Huang
Randy Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 14 papers that have together received 539 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (8 papers), Embedded Systems Design Techniques (7 papers) and Parallel Computing and Optimization Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (271 citations), Computer Networks and Communications (202 citations) and Computer Vision and Pattern Recognition (154 citations). Randy Huang has collaborated with scholars based in United States, Türkiye and Israel. Frequent co-authors include John Wawrzynek, Eriko Nurvitadhi, Jaewoong Sim, Duncan J. M. Moss, Guy Boudoukh, Srivatsan Krishnan, Debbie Marr, Ganesh Venkatesh, Suchit Subhaschandra and André DeHon. Their work appears in journals such as Nano Letters and Microprocessors and Microsystems.
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.