Weiran Liu

645 total citations · 1 hit paper
34 papers, 310 citations indexed

About

Weiran Liu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Weiran Liu has authored 34 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 5 papers in Computer Networks and Communications. Recurrent topics in Weiran Liu's work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (13 papers) and Complexity and Algorithms in Graphs (6 papers). Weiran Liu is often cited by papers focused on Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (13 papers) and Complexity and Algorithms in Graphs (6 papers). Weiran Liu collaborates with scholars based in China, United States and Singapore. Weiran Liu's co-authors include Jianwei Liu, Qianhong Wu, Yong Guan, B. Xu, Peng Li, Zhan Qin, Bo Qin, Kui Ren, Fei Tao and Jiangfeng Cheng and has published in prestigious journals such as Journal of Cleaner Production, Future Generation Computer Systems and Tribology International.

In The Last Decade

Weiran Liu

28 papers receiving 292 citations

Hit Papers

makeTwin: A reference architecture for digital twin softw... 2023 2026 2024 2025 2023 20 40 60

Peers

Weiran Liu
Comparison fields: 5 of 56
  • Artificial Intelligence 148
  • Information Systems 70
  • Industrial and Manufacturing Engineering 61
  • Computer Networks and Communications 41
  • Signal Processing 39
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Jeevana Priya Inala United States View profile →
Citations per field, relative to Weiran Liu
Weiran Liu · 1×
Citations per year, relative to Weiran Liu
Weiran Liu · 1×

Countries citing papers authored by Weiran Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weiran Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiran Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiran Liu. A scholar is included among the top collaborators of Weiran 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 Weiran Liu. Weiran 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 0
2 0
3 0
4 3
5 0
6 2
7 6
8 0
9 5
10 4
11 2
12
makeTwin: A reference architecture for digital twin software platform breakdown →
72
13 25
14 5
15 11
16 13
17 3
18 6
19 13
20 21

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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