Guyue Huang
Impact in
- Computational Mathematics top 5%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- VLSI and Analog Circuit Testing
Papers in
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- Advanced Neural Network Applications 3
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- Parallel Computing and Optimization Techniques 5
- Co-authors
- Huazhong Yang (3 shared papers)Guohao Dai (3 shared papers)Yu Wang (1 shared paper)Hengrui Zhang (2 shared papers)Huazhong Yang (1 shared paper)Yuanfan Xu (1 shared paper)Kai Zhong (1 shared paper)Zhaoyang Shen (1 shared paper)
- Journals
- ACM Transactions on Design Automation of Electronic Systems (1 paper)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (1 paper)Proceedings of the 59th ACM/IEEE Design Automation Conference (2 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guyue Huang
7 papers receiving 298 citations
Peers
Comparison fields: 5 of 42
- Computational Mathematics 21
- Hardware and Architecture 117
- Computer Vision and Pattern Recognition 79
- Artificial Intelligence 120
- Industrial and Manufacturing Engineering 29
Countries citing papers authored by Guyue Huang
This map shows the geographic impact of Guyue 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 Guyue Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guyue Huang more than expected).
Fields of papers citing papers by Guyue Huang
This network shows the impact of papers produced by Guyue 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 Guyue Huang. The network helps show where Guyue Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guyue Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 180 | |
| 2 | 2020 | 70 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2021 | 6 | |
| 8 | 2024 | 0 |
About Guyue Huang
Guyue Huang is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 8 papers that have together received 305 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (5 papers), Advanced Neural Network Applications (3 papers), Stochastic Gradient Optimization Techniques (2 papers), Tensor decomposition and applications (1 paper), Industrial Vision Systems and Defect Detection (1 paper), VLSI and FPGA Design Techniques (1 paper), Distributed and Parallel Computing Systems (1 paper) and Matrix Theory and Algorithms (1 paper). The work is most often cited by research in Computational Mathematics (21 citations), Hardware and Architecture (117 citations), Computer Vision and Pattern Recognition (79 citations), Artificial Intelligence (120 citations) and Industrial and Manufacturing Engineering (29 citations). Guyue Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huazhong Yang, Guohao Dai, Yu Wang, Hengrui Zhang, Huazhong Yang, Yuanfan Xu, Kai Zhong, Zhaoyang Shen, Juejian Wu and Mingyuan Ma. Their work appears in journals such as ACM Transactions on Design Automation of Electronic Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Proceedings of the 59th ACM/IEEE Design Automation Conference and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.