Can Liu

1.3k total citations
69 papers, 676 citations indexed

About

Can Liu is a scholar working on Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Can Liu has authored 69 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Human-Computer Interaction and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Can Liu's work include Interactive and Immersive Displays (13 papers), Topic Modeling (10 papers) and Speech and dialogue systems (7 papers). Can Liu is often cited by papers focused on Interactive and Immersive Displays (13 papers), Topic Modeling (10 papers) and Speech and dialogue systems (7 papers). Can Liu collaborates with scholars based in China, Hong Kong and United States. Can Liu's co-authors include Shengdong Zhao, Lei Wang, Pinhua Li, Qi Li, Wei‐Tek Tsai, Sandra Kübler, Jinghua Feng, Li Sun, Xiang Ao and Min Wang and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and ACS Energy Letters.

In The Last Decade

Can Liu

58 papers receiving 656 citations

Peers

Can Liu
Comparison fields: 5 of 126
  • Artificial Intelligence 212
  • Human-Computer Interaction 130
  • Information Systems 111
  • Computer Vision and Pattern Recognition 98
  • Organic Chemistry 76
Tong Zhu China
Kyu-Chul Lee South Korea
Bo Pang China
Kazuya Murao Japan
Di Hu China
Chunfang Liu China
Guido Bologna Switzerland
Ali Ahmadi Iran
Miyoung Shin South Korea
Tong Zhu China View profile →
Citations per field, relative to Can Liu
Can Liu · 1×
Citations per year, relative to Can Liu
Can Liu · 1×

Countries citing papers authored by Can Liu

Since Specialization
Citations

This map shows the geographic impact of Can 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 Can Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Liu more than expected).

Fields of papers citing papers by Can Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Can 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 Can Liu. The network helps show where Can Liu may publish in the future.

Co-authorship network of co-authors of Can Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Can Liu. A scholar is included among the top collaborators of Can Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Can Liu. Can Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 0
6 2
7 2
8 2
9 1
10 15
11 4
12 6
13 13
14 5
15 1
16 18
17 1
18 13
19
Forgetting of passwords: ecological theory and data
8
20
HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
6

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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