Dan Huang
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 15
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- Advanced Data Storage Technologies 17
- Distributed and Parallel Computing Systems 10
- Caching and Content Delivery 8
- Peer-to-Peer Network Technologies 5
- Information Systems top 10%
- Cloud Computing and Resource Management 14
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- Advanced Neural Network Applications 9
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- Advanced MIMO Systems Optimization 6
- Co-authors
- Jun WangYutong LuJian ZhouWujie WenYiran ChenNavid KhoshaviRonald F. DeMaraManuel Reyes De Guzman
- Journals
- IEEE Transactions on Parallel and Distributed Systems (4 papers)Journal of Parallel and Distributed Computing (4 papers)IEEE Transactions on Computers (4 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Dan Huang
60 papers receiving 426 citations
Peers
Comparison fields: 5 of 69
- Hardware and Architecture 82
- Computer Networks and Communications 188
- Polymers and Plastics 53
- Biomaterials 45
- Information Systems 60
Countries citing papers authored by Dan Huang
This map shows the geographic impact of Dan 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 Dan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Huang more than expected).
Fields of papers citing papers by Dan Huang
This network shows the impact of papers produced by Dan 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 Dan Huang. The network helps show where Dan Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 0 | |
| 16 | Managing IO Resource for Co-running Data Intensive Applications in Virtual Clusters | 2018 | 1 |
| 17 | 2018 | 9 | |
| 18 | 2016 | 27 | |
| 19 | Research on user behavior of p2p VoD system | 2011 | 1 |
| 20 | Impact of Evaporation of the Large-Scale Condensation Precipitation in Dropping Process on Simulated Climate Properties | 2006 | 1 |
About Dan Huang
Dan Huang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (17 papers), Parallel Computing and Optimization Techniques (15 papers), Cloud Computing and Resource Management (14 papers), Distributed and Parallel Computing Systems (10 papers), Advanced Neural Network Applications (9 papers), Caching and Content Delivery (8 papers), Advanced MIMO Systems Optimization (6 papers) and Peer-to-Peer Network Technologies (5 papers). The work is most often cited by research in Hardware and Architecture (82 citations), Computer Networks and Communications (188 citations) and Polymers and Plastics (53 citations). Dan Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jun Wang, Yutong Lu, Jian Zhou, Wujie Wen, Yiran Chen, Navid Khoshavi, Ronald F. DeMara, Manuel Reyes De Guzman, Yongqi Yu and Juan Du. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, IEEE Transactions on Computers, Parallel Computing and Sensors.
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.