Weihao Cui
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Neural Network Applications 10
-
- IoT and Edge/Fog Computing 6
- Advanced Data Storage Technologies 5
- Co-authors
- Minyi Guo (20 shared papers)Quan Chen (19 shared papers)Han Zhao (11 shared papers)Jingwen Leng (12 shared papers)Wei Zhang (2 shared papers)Kaihua Fu (2 shared papers)Ningxin Zheng (2 shared papers)Tienan Wang (1 shared paper)
- Journals
- IEEE Transactions on Computers (5 papers)Nanotechnology (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Optics Express (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Weihao Cui
19 papers receiving 282 citations
Peers
Comparison fields: 5 of 55
- Hardware and Architecture 80
- Computational Mathematics 6
- Computer Vision and Pattern Recognition 104
- Computer Networks and Communications 108
- Information Systems 54
Countries citing papers authored by Weihao Cui
This map shows the geographic impact of Weihao Cui'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 Weihao Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihao Cui more than expected).
Fields of papers citing papers by Weihao Cui
This network shows the impact of papers produced by Weihao Cui. 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 Weihao Cui. The network helps show where Weihao Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Weihao Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2021 | 42 | |
| 3 | 2019 | 35 | |
| 4 | 2022 | 25 | |
| 5 | 2019 | 23 | |
| 6 | 2020 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 9 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Weihao Cui
Weihao Cui is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering and Information Systems, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Cloud Computing and Resource Management (6 papers), IoT and Edge/Fog Computing (6 papers), Parallel Computing and Optimization Techniques (6 papers), Advanced Data Storage Technologies (5 papers), Advanced Memory and Neural Computing (4 papers), Optical Coatings and Gratings (3 papers) and Nanowire Synthesis and Applications (3 papers). The work is most often cited by research in Hardware and Architecture (80 citations), Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (104 citations), Computer Networks and Communications (108 citations) and Information Systems (54 citations). Weihao Cui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Minyi Guo, Quan Chen, Han Zhao, Jingwen Leng, Wei Zhang, Kaihua Fu, Ningxin Zheng, Tienan Wang, Hongyan Li and Aidang Lu. Their work appears in journals such as IEEE Transactions on Computers, Nanotechnology, IEEE Transactions on Parallel and Distributed Systems, Optics Express and IEEE Sensors Journal.
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.