Cong Liu
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
-
- Speech Recognition and Synthesis 6
-
- Advanced Neural Network Applications 7
- Co-authors
- Jianshu Zhang (2 shared papers)Yongxin Yang (1 shared paper)Yi-Zhe Song (1 shared paper)Da Li (1 shared paper)Timothy M. Hospedales (1 shared paper)Jie Wu (1 shared paper)Liusheng Huang (1 shared paper)Mingjun Xiao (1 shared paper)
- Journals
- Electronics Letters (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)Journal of Cloud Computing Advances Systems and Applications (1 paper)ACS Applied Nano Materials (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Cong Liu
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Computer Science Applications 111
- Computer Vision and Pattern Recognition 339
- Artificial Intelligence 437
- Hardware and Architecture 69
- Computer Networks and Communications 198
Countries citing papers authored by Cong Liu
This map shows the geographic impact of Cong Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Liu more than expected).
Fields of papers citing papers by Cong Liu
This network shows the impact of papers produced by Cong Liu. 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 Liu. The network helps show where Cong Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Liu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 252 | |
| 2 | 2015 | 131 | |
| 3 | 2020 | 67 | |
| 4 | 2021 | 62 | |
| 5 | 2021 | 47 | |
| 6 | Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention | 2016 | 36 |
| 7 | 2020 | 35 | |
| 8 | 2011 | 32 | |
| 9 | 2018 | 31 | |
| 10 | 2013 | 28 | |
| 11 | 2010 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2008 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2017 | 17 | |
| 18 | 2013 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 12 |
About Cong Liu
Cong Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Signal Processing, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Advanced Neural Network Applications (7 papers), Music and Audio Processing (7 papers), Cloud Computing and Resource Management (6 papers), Speech Recognition and Synthesis (6 papers), Business Process Modeling and Analysis (5 papers), Speech and Audio Processing (5 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Computer Science Applications (111 citations), Computer Vision and Pattern Recognition (339 citations), Artificial Intelligence (437 citations), Hardware and Architecture (69 citations) and Computer Networks and Communications (198 citations). Cong Liu has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Jianshu Zhang, Yongxin Yang, Yi-Zhe Song, Da Li, Timothy M. Hospedales, Jie Wu, Liusheng Huang, Mingjun Xiao, Yunsheng Wang and Hui Jiang. Their work appears in journals such as Electronics Letters, IEEE Transactions on Parallel and Distributed Systems, Journal of Cloud Computing Advances Systems and Applications, ACS Applied Nano Materials and IEEE Journal of Biomedical and Health Informatics.
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.