Cong Fu
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
Papers in
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- Distributed and Parallel Computing Systems 11
- Interconnection Networks and Systems 6
- Advanced Data Storage Technologies 4
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- Parallel Computing and Optimization Techniques 13
- Co-authors
- Deng Cai (5 shared papers)Changxu Wang (2 shared papers)Chao Xiang (2 shared papers)Tao Yang (9 shared papers)Cheng Zhao (1 shared paper)Chenliang Li (1 shared paper)Xiaofei He (4 shared papers)Wenxiao Wang (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Physics Letters A (1 paper)Neurocomputing (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cong Fu
30 papers receiving 626 citations
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 105
- Computer Vision and Pattern Recognition 296
- Signal Processing 138
- Artificial Intelligence 303
- Computer Networks and Communications 140
Countries citing papers authored by Cong Fu
This map shows the geographic impact of Cong 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 Cong Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Fu more than expected).
Fields of papers citing papers by Cong Fu
This network shows the impact of papers produced by Cong 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 Cong Fu. The network helps show where Cong Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 183 | |
| 2 | 2019 | 90 | |
| 3 | 2021 | 58 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 38 | |
| 6 | 2019 | 36 | |
| 7 | 1997 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 1998 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 1997 | 13 | |
| 13 | 1996 | 12 | |
| 14 | 1996 | 11 | |
| 15 | Mapping Iterative Task Graphs on Distributed Memory Machines. | 1995 | 9 |
| 16 | 2005 | 9 | |
| 17 | 1997 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 2019 | 7 |
About Cong Fu
Cong Fu is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 32 papers that have together received 655 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Distributed and Parallel Computing Systems (11 papers), Interconnection Networks and Systems (6 papers), Advanced Graph Neural Networks (5 papers), Advanced Data Storage Technologies (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Data Management and Algorithms (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Hardware and Architecture (105 citations), Computer Vision and Pattern Recognition (296 citations), Signal Processing (138 citations), Artificial Intelligence (303 citations) and Computer Networks and Communications (140 citations). Cong Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Deng Cai, Changxu Wang, Chao Xiang, Tao Yang, Cheng Zhao, Chenliang Li, Xiaofei He, Wenxiao Wang, Xiang Ren and Tao Yang. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, Physics Letters A and Neurocomputing.
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.