Fangfa Fu
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
-
- Interconnection Networks and Systems
Papers in
-
- Interconnection Networks and Systems 21
-
- Advanced Memory and Neural Computing 11
- CCD and CMOS Imaging Sensors 8
- Co-authors
- Jinjin Shi (7 shared papers)Jinxiang Wang (33 shared papers)Jinxiang Wang (2 shared papers)Guang‐Ren Duan (1 shared paper)Ming‐Feng Hou (1 shared paper)Mingyan Yu (4 shared papers)Yang Xu (1 shared paper)Cheng Liu (2 shared papers)
In The Last Decade
Fangfa Fu
50 papers receiving 260 citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 81
- Computer Networks and Communications 105
- Automotive Engineering 41
- Computer Vision and Pattern Recognition 69
- Control and Systems Engineering 40
Countries citing papers authored by Fangfa Fu
This map shows the geographic impact of Fangfa Fu'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 Fangfa Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangfa Fu more than expected).
Fields of papers citing papers by Fangfa Fu
This network shows the impact of papers produced by Fangfa Fu. 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 Fangfa Fu. The network helps show where Fangfa Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangfa Fu, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 51 | |
| 2 | 2012 | 40 | |
| 3 | 2007 | 23 | |
| 4 | 2019 | 12 | |
| 5 | 2010 | 10 | |
| 6 | 2018 | 8 | |
| 7 | 2010 | 8 | |
| 8 | 2004 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2009 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Fangfa Fu
Fangfa Fu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition and Nuclear and High Energy Physics, having authored 59 papers that have together received 266 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (21 papers), Parallel Computing and Optimization Techniques (14 papers), Advanced Memory and Neural Computing (11 papers), Embedded Systems Design Techniques (10 papers), Particle Detector Development and Performance (8 papers), CCD and CMOS Imaging Sensors (8 papers), Advanced Vision and Imaging (7 papers) and Analog and Mixed-Signal Circuit Design (5 papers). The work is most often cited by research in Hardware and Architecture (81 citations), Computer Networks and Communications (105 citations), Automotive Engineering (41 citations), Computer Vision and Pattern Recognition (69 citations) and Control and Systems Engineering (40 citations). Fangfa Fu has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Jinjin Shi, Jinxiang Wang, Jinxiang Wang, Guang‐Ren Duan, Ming‐Feng Hou, Mingyan Yu, Yang Xu, Cheng Liu, Qingli Zhang and Siyue Sun. Their work appears in journals such as Journal of Instrumentation, IEEE Transactions on Nuclear Science, Microelectronics Reliability, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Surface and Coatings 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.