Ximei Liu

4.6k citations
103 papers · 3.8k indexed · 4 hit papers · h-index 33
Topics
Control Systems and Identification (33 papers)Fault Detection and Control Systems (23 papers)Neural Networks and Applications (10 papers)

In The Last Decade

Ximei Liu

97 papers receiving 3.8k citations

Hit Papers

Auxiliary Model‐Based Maximum Likelihood Multi‐Innovation...2025202620252025202520255101520

Peers

Ximei Liu
Comparison fields: 5 of 149
  • Control and Systems Engineering 2.3k
  • Artificial Intelligence 817
  • Civil and Structural Engineering 714
  • Electrical and Electronic Engineering 549
  • Computational Mechanics 388
Replace Zhaoyu Wang with:
Zhaoyu Wang United States
Wei Qiao United States
Ming Yang China
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Zbigniew Leonowicz Poland
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Ximei Liu relative to Zhaoyu Wang United States Zhaoyu Wang's profile →
Citations per field
00.5×5.8×
Zhaoyu Wang · 1×
Citations per year

Countries citing papers authored by Ximei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ximei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ximei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ximei Liu. A scholar is included among the top collaborators of Ximei 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 Ximei Liu. Ximei 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 3
2 2
3
Highly Efficient Two-Stage Filtering-Based Maximum Likelihood Stochastic Gradient Algorithm for Multiple-Input Multiple-Output Systemsbreakdown →
19
4 0
5 12
6 30
7 15
8 6
9 19
10 37
11 18
12 15
13 8
14 14
15 101
16 66
17
Effect of cumulus-oocyte complexes (COCs) culture duration on in vitro maturation and parthenogenetic development of pig oocyte
2
18
A New Method for the Detection of Steady State Based on Fuzzy Sets
2
19 2
20
Adaptive Prediction and Control of Boiler Temperature
0

About Ximei Liu

Ximei Liu is a scholar working on Control and Systems Engineering, Energy Engineering and Power Technology and General Energy, having authored 103 papers that have together received 3.8k indexed citations. Recurring topics across this work include Control Systems and Identification (33 papers), Fault Detection and Control Systems (23 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Control and Systems Engineering (2.3k citations), Civil and Structural Engineering (714 citations) and General Energy (31 citations). Ximei Liu has collaborated with scholars based in China, Saudi Arabia and Hong Kong. Frequent co-authors include Meihang Li, Feng Ding, Yamin Fan, Ming Zeng, Yan Ji, Zhen Kang, Lilin Peng, Feng Ding, Deli Qiao and Huibo Chen. Their work appears in journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Scientific Reports.

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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