Mei Liu

4.7k citations
187 papers · 3.3k indexed · 1 hit paper · h-index 33
Topics
Neural Networks and Applications (24 papers)Robotic Mechanisms and Dynamics (15 papers)Robot Manipulation and Learning (12 papers)
Journals
Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Mei Liu

161 papers receiving 3.2k citations

Hit Papers

A Distributed Competitive and Collaborative Coordination ...202420262025202410203040

Peers

Mei Liu
Comparison fields: 5 of 179
  • Artificial Intelligence 821
  • Control and Systems Engineering 800
  • Computer Vision and Pattern Recognition 413
  • Computer Networks and Communications 398
  • Civil and Structural Engineering 371
Replace S. Lecœuche with:
S. Lecœuche France
Weibo Liu China
Ruili Wang New Zealand
Shaobo Li China
Nikos E. Mastorakis Bulgaria
Cesare Alippi Italy
Yimin Yang China
Han Li China
Shan Xue China
Bogdan Gabryś United Kingdom
Mei Liu relative to S. Lecœuche France S. Lecœuche's profile →
Citations per field
00.5×3.7×
S. Lecœuche · 1×
Citations per year

Countries citing papers authored by Mei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Liu. A scholar is included among the top collaborators of Mei 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 Mei Liu. Mei 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
#WorkIndexed citations
1 0
2 1
3 0
4 8
5 35
6 14
7 0
8 10
9 1
10 47
11 4
12 16
13 9
14 76
15 18
16 6
17 17
18 42
19 20
20 7

About Mei Liu

Mei Liu is a scholar working on Computational Mathematics, Control and Systems Engineering and Artificial Intelligence, having authored 187 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (24 papers), Robotic Mechanisms and Dynamics (15 papers) and Robot Manipulation and Learning (12 papers). The work is most often cited by research in Control and Systems Engineering (800 citations), Artificial Intelligence (821 citations) and Computational Mathematics (14 citations). Mei Liu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Long Jin, Mingsheng Shang, Haijun Jiang, Cheng Hu, Liangming Chen, Shuai Li, Bin Hu, Min Jiang, Xin Luo and Peijun Wang. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

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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