Cong Liu

66 papers receiving 1.0k citations

Peers

Cong Liu
Comparison fields: 5 of 107
  • Computer Science Applications 111
  • Computer Vision and Pattern Recognition 335
  • Artificial Intelligence 431
  • Hardware and Architecture 65
  • Computer Networks and Communications 193
Replace Moustafa Alzantot with:
Moustafa Alzantot United States
Zongqing Lu China
Aston Zhang United States
Yuan Dong China
Hui-Huang Hsu Taiwan
Shaoen Wu United States
Chenglin Miao United States
Widyawan Widyawan Indonesia
Tao Huang China
Cong Liu relative to Moustafa Alzantot United States Moustafa Alzantot's profile →
Citations per field
00.5×1.5×2.2×
Moustafa Alzantot · 1×
Citations per year

Countries citing papers authored by Cong Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cong Liu Line = papers co-authored together Cong Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019243
2 2015130
3 202067
4 202159
5 202143
6
Semantic Relation Classification via Hierarchical Recurrent Neural Network with Attention
201636
7 202033
8 201132
9 201831
10 201328
11 201027
12 202124
13 202019
14 200819
15 202118
16 202017
17 201717
18 201314
19 202112
20 202112

About Cong Liu

Cong Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture, having authored 73 papers that have together received 1.0k 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), Speech Recognition and Synthesis (6 papers), Cloud Computing and Resource Management (5 papers), Business Process Modeling and Analysis (5 papers), Speech and Audio Processing (5 papers) and Real-Time Systems Scheduling (4 papers). The work is most often cited by research in Computer Science Applications (111 citations), Computer Vision and Pattern Recognition (335 citations), Artificial Intelligence (431 citations), Hardware and Architecture (65 citations) and Computer Networks and Communications (193 citations). Cong Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yi-Zhe Song, Jianshu Zhang, Yongxin Yang, Timothy M. Hospedales, Da Li, Jie Wu, Yunsheng Wang, Mingjun Xiao, Liusheng Huang and Hui Jiang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Electronics Letters, IEEE Transactions on Services Computing, IEEE Journal of Biomedical and Health Informatics and IEEE Transactions on Software Engineering.

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.

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