Xiaohui Liu

29.7k citations
342 papers · 22.6k · 19 hit papers · h-index 75

Impact in

Papers in

Xiaohui Liu

331 papers receiving 22.0k citations

Xiaohui Liu's Hit Papers

An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples 2024 · 115 citations
1150+6+12Years since publication50010001.5k2.0k

Peers

Xiaohui Liu
Comparison fields: 5 of 212
  • Computer Networks and Communications 8.7k
  • Control and Systems Engineering 6.7k
  • Artificial Intelligence 7.7k
  • Statistical and Nonlinear Physics 2.4k
  • Computational Theory and Mathematics 2.7k
Replace Fei–Yue Wang with:
Fei–Yue Wang China
C. L. Philip Chen China
Ajith Abraham United States
Ioannis Antonoglou United Kingdom
Koray Kavukcuoglu United States
Athanasios V. Vasilakos China
David Silver United States
Carlos Guestrin United States
Albert Y. Zomaya Australia
Timothy Lillicrap United Kingdom
Xiaohui Liu relative to Fei–Yue Wang China Fei–Yue Wang's profile →
Citations per field
00.5×2.7×
Fei–Yue Wang · 1×
Citations per year

Countries citing papers authored by Xiaohui Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohui Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohui Liu Line = papers co-authored together Xiaohui Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 342 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of deep neural network architectures and their applications
Hit paper breakdown →
20162381
2
A Grid-Based Evolutionary Algorithm for Many-Objective Optimization
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2013732
3
Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
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2005602
4
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization
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2013574
5
Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses
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2007433
6
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
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2008433
7
Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements
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2006414
8
The Role of Text Pre-processing in Sentiment Analysis
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2013409
9
A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection
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2022390
10 2005351
11
A review on transfer learning in EEG signal analysis
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2020342
12
State estimation under false data injection attacks: Security analysis and system protection
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2017338
13
Robust H control for a class of nonlinear discrete time-delay stochastic systems with missing measurements
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2009332
14
Examining the moderating effect of individual-level cultural values on users’ acceptance of E-learning in developing countries: a structural equation modeling of an extended technology acceptance model
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2016322
15
H filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities
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2008319
16
Evolutionary Multi-Objective Workflow Scheduling in Cloud
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2015315
17 2006305
18
Robust clustering by detecting density peaks and assigning points based on fuzzy weighted K-nearest neighbors
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2016285
19
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer
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2019271
20 2010270

About Xiaohui Liu

Xiaohui Liu is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 342 papers that have together received 22.6k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (59 papers), Stability and Control of Uncertain Systems (57 papers), Control Systems and Identification (24 papers), Neural Networks and Applications (23 papers), Advanced Memory and Neural Computing (21 papers), Fault Detection and Control Systems (20 papers), Gene expression and cancer classification (19 papers) and Metaheuristic Optimization Algorithms Research (19 papers). The work is most often cited by research in Computer Networks and Communications (8.7k citations), Control and Systems Engineering (6.7k citations), Artificial Intelligence (7.7k citations), Statistical and Nonlinear Physics (2.4k citations) and Computational Theory and Mathematics (2.7k citations). Xiaohui Liu has collaborated with scholars based in United Kingdom, China and Saudi Arabia. Frequent co-authors include Zidong Wang, Yurong Liu, Nianyin Zeng, Miqing Li, Weibo Liu, Shengxiang Yang, Jinling Liang, Fuad E. Alsaadi, Kate Hone and Daniel W. C. Ho. Their work appears in journals such as Neurocomputing, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, Automatica and Physics Letters A.

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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