2026 Xinwang Liu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	81	1036	1003	150	148	360	23537

Xinwang Liu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xinwang Liu sits on this spectrum.

32 publications 991+

This scientist: 360 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Xinwang Liu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xinwang Liu sits on this spectrum.

30 D-Index 131+

This scientist: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Xinwang Liu is affiliated with the National University of Defense Technology in China. Their research primarily covers the field of Computer Science, with a specific focus on Artificial Intelligence, Computer Vision and Pattern Recognition, and Media Technology, among other areas.

The scientist's main research topics include:

Face and Expression Recognition
Advanced Clustering Algorithms Research
Advanced Graph Neural Networks
Remote-Sensing Image Classification
Video Surveillance and Tracking Methods
Complex Network Analysis Techniques
Advanced Computing and Algorithms

Xinwang Liu has contributed extensively to scientific literature, with key recent publications including:

Efficient and Effective Regularized Incomplete Multi-view Clustering, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance, 2021, IEEE Transactions on Image Processing
Consensus Graph Learning for Multi-View Clustering, 2021, IEEE Transactions on Multimedia
Unified One-Step Multi-View Spectral Clustering, 2022, IEEE Transactions on Knowledge and Data Engineering
Deep Graph Clustering via Dual Correlation Reduction, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist frequently collaborates with colleagues such as En Zhu, Siwei Wang, Sihang Zhou, Ke Liang, and Chang Tang.

Xinwang Liu's research outputs are published regularly in several prominent venues, with a notable number of contributions in:

arXiv (Cornell University)
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence

The research spans subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Media Technology, Statistical and Nonlinear Physics, and Urban Studies, reflecting a multidisciplinary approach.

Best Publications

Deep Learning for Generic Object Detection: A Survey

Li Liu;Li Liu;Wanli Ouyang;Xiaogang Wang;Paul W. Fieguth

2901
Citations
Improved Deep Embedded Clustering with Local Structure Preservation

Xifeng Guo;Long Gao;Xinwang Liu;Jianping Yin

876
Citations
An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment

Jindong Qin;Xinwang Liu;Witold Pedrycz;Witold Pedrycz;Witold Pedrycz

632
Citations
In defense of soft-assignment coding

Lingqiao Liu;Lei Wang;Xinwang Liu

609
Citations
Deep Clustering with Convolutional Autoencoders

Xifeng Guo;Xinwang Liu;En Zhu;Jianping Yin

535
Citations
Intuitionistic Fuzzy Information Aggregation Using Einstein Operations

Unknown

500
Citations
Late Fusion Incomplete Multi-View Clustering

Xinwang Liu;Xinzhong Zhu;Miaomiao Li;Lei Wang

339
Citations
Global and Local Structure Preservation for Feature Selection

Xinwang Liu;Lei Wang;Jian Zhang;Jianping Yin

287
Citations
Multiple Kernel $k$ k -Means with Incomplete Kernels

Xinwang Liu;Xinzhong Zhu;Miaomiao Li;Lei Wang

284
Citations
Consensus Graph Learning for Multi-view Clustering

Zhenglai Li;Chang Tang;Xinwang Liu;Xiao Zheng

277
Citations
Learning a Joint Affinity Graph for Multiview Subspace Clustering

Chang Tang;Xinzhong Zhu;Xinwang Liu;Miaomiao Li

273
Citations
Efficient and Effective Regularized Incomplete Multi-View Clustering

Xinwang Liu;Miaomiao Li;Chang Tang;Jingyuan Xia

261
Citations
Some interval-valued intuitionistic fuzzy geometric aggregation operators based on einstein operations

Unknown

258
Citations
Scalable Multi-view Subspace Clustering with Unified Anchors

Mengjing Sun;Pei Zhang;Siwei Wang;Sihang Zhou

232
Citations
Multiple kernel extreme learning machine

Xinwang Liu;Lei Wang;Guang-Bin Huang;Jian Zhang

228
Citations
Intuitionistic fuzzy geometric aggregation operators based on einstein operations

Unknown

220
Citations
Simplified Interval Type-2 Fuzzy Logic Systems

Jerry M. Mendel;Xinwang Liu

215
Citations
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment

Jindong Qin;Xinwang Liu;Witold Pedrycz

214
Citations
Multi-view Clustering via Late Fusion Alignment Maximization

Siwei Wang;Xinwang Liu;En Zhu;Chang Tang

212
Citations
Deep Fusion Clustering Network

Wenxuan Tu;Sihang Zhou;Xinwang Liu;Xifeng Guo

204
Citations
Cross-view Locality Preserved Diversity and Consensus Learning for Multi-view Unsupervised Feature Selection

Chang Tang;Xiao Zheng;Xinwang Liu;Wei Zhang

195
Citations
A risk evaluation and prioritization method for FMEA with prospect theory and Choquet integral

Weizhong Wang;Xinwang Liu;Yong Qin;Yong Fu

188
Citations
CGD: Multi-View Clustering via Cross-View Graph Diffusion

Chang Tang;Xinwang Liu;Xinzhong Zhu;En Zhu

162
Citations
Multiple kernel k -means clustering with matrix-induced regularization

Xinwang Liu;Yong Dou;Jianping Yin;Lei Wang

125
Citations
Multiple Kernel k-Means with Incomplete Kernels.

Xinwang Liu;Miaomiao Li;Lei Wang;Yong Dou

79
Citations

Frequent Co-Authors

Chang Tang China University of Geosciences

Lei Wang University of Wollongong

Jiyuan Liu Chinese Academy of Sciences

Lizhe Wang China University of Geosciences

Jian Zhang University of Technology Sydney

Marius Kloft Technical University of Kaiserslautern

Changqing Zhang Tianjin University

Wanqing Li University of Wollongong

Xingxing Zhang Dalarna University

Tongliang Liu University of Sydney

External Links

Personal website of Xinwang Liu

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