Linlin Liu

1.0k total citations
29 papers, 643 citations indexed

About

Linlin Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Linlin Liu has authored 29 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Linlin Liu's work include Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Advanced Memory and Neural Computing (5 papers). Linlin Liu is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (6 papers) and Advanced Memory and Neural Computing (5 papers). Linlin Liu collaborates with scholars based in China, Singapore and Cayman Islands. Linlin Liu's co-authors include Lidong Bing, Bosheng Ding, Shafiq Joty, Luo Si, Zhenyuan Guo, Jun Wang, Chunyan Miao, Weiping Wang, Xiong Luo and Tzonelih Hwang and has published in prestigious journals such as Sensors, IEEE Transactions on Neural Networks and Learning Systems and IEEE Electron Device Letters.

In The Last Decade

Linlin Liu

25 papers receiving 625 citations

Peers

Linlin Liu
Comparison fields: 5 of 107
  • Artificial Intelligence 343
  • Computer Networks and Communications 136
  • Electrical and Electronic Engineering 121
  • Computer Vision and Pattern Recognition 74
  • Statistical and Nonlinear Physics 65
Replace Yufei Liu with:
Yufei Liu China
Hariharan Narayanan United States
Mingjun Wang China
Wilfried N. Gansterer Austria
Samuel Yen-Chi Chen United States
John Feo United States
Shen Wang China
Goutam Paul India
Yufei Liu China View profile →
Citations per field, relative to Linlin Liu
Linlin Liu · 1×
Citations per year, relative to Linlin Liu
Linlin Liu · 1×

Countries citing papers authored by Linlin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Linlin Liu. A scholar is included among the top collaborators of Linlin 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 Linlin Liu. Linlin 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 71
2 0
3 1
4 10
5 73
6 1
7 74
8 1
9 8
10 50
11 58
12 58
13 8
14 44
15 3
16
Privacy-preserving Distributed Analytics: Addressing the Privacy-Utility Tradeoff Using Homomorphic Encryption for Peer-to-Peer Analytics
0
17 26
18 1
19
Fluid dynamic analysis and parametric optimization for drying-oven of a gravure printing machine
2
20 36

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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