Fengbin Tu
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques 13
- Embedded Systems Design Techniques 4
- Computational Mathematics top 5%
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- Advanced Neural Network Applications 25
- Multimodal Machine Learning Applications 4
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- Advanced Memory and Neural Computing 28
- Ferroelectric and Negative Capacitance Devices 18
- CCD and CMOS Imaging Sensors 9
- Artificial Intelligence top 5%
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- Advanced Data Storage Technologies 11
Fengbin Tu
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Hardware and Architecture 250
- Computational Mathematics 19
- Computer Vision and Pattern Recognition 561
- Electrical and Electronic Engineering 820
- Artificial Intelligence 398
Countries citing papers authored by Fengbin Tu
This map shows the geographic impact of Fengbin Tu'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 Fengbin Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengbin Tu more than expected).
Fields of papers citing papers by Fengbin Tu
This network shows the impact of papers produced by Fengbin Tu. 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 Fengbin Tu. The network helps show where Fengbin Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fengbin Tu, 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 | 2024 | 2 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 33 | |
| 15 | 2021 | 29 | |
| 16 | 2018 | 13 | |
| 17 | 2018 | 32 | |
| 18 | 2018 | 16 | |
| 19 | 2018 | 42 | |
| 20 | 2015 | 2 |
About Fengbin Tu
Fengbin Tu is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Advanced Neural Network Applications (25 papers), Ferroelectric and Negative Capacitance Devices (18 papers), Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (11 papers), CCD and CMOS Imaging Sensors (9 papers), Embedded Systems Design Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Hardware and Architecture (250 citations), Computational Mathematics (19 citations), Computer Vision and Pattern Recognition (561 citations), Electrical and Electronic Engineering (820 citations) and Artificial Intelligence (398 citations). Fengbin Tu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shouyi Yin, Leibo Liu, Shaojun Wei, Peng Ouyang, Shibin Tang, Yuan Xie, Yufei Ding, Yiqi Wang, Xiudong Li and Zihan Wu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Computers and IEEE Transactions on Very Large Scale Integration (VLSI) 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.