2026 Feiping Nie: 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	109	244	237	30	28	721	45722

Feiping Nie 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 Feiping Nie sits on this spectrum.

32 publications 991+

This scientist: 721 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Feiping Nie 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 Feiping Nie sits on this spectrum.

30 D-Index 131+

This scientist: 109 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2026 - Research.com Computer Science in China Leader Award
2025 - Research.com Computer Science in China Leader Award
2023 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in China Leader Award

Overview

Feiping Nie is affiliated with Northwestern Polytechnical University in China, contributing extensively to the field of computer science with a focus on areas such as computer vision and pattern recognition, artificial intelligence, and related subfields. Their research spans a range of topics including face and expression recognition, clustering algorithms, remote-sensing image classification, and machine learning techniques.

Their frequent publication venues demonstrate a concentration in high-impact journals and conferences, such as:

IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Knowledge and Data Engineering
Pattern Recognition
Information Sciences
Neurocomputing

Feiping Nie has contributed to several recent research papers, notable among them are:

"Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
"Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"An Effective and Efficient Algorithm for K-Means Clustering With New Formulation," 2022, IEEE Transactions on Knowledge and Data Engineering
"Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization," 2020, IEEE Transactions on Image Processing
"Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation," 2021, IEEE Transactions on Neural Networks and Learning Systems

The scientist collaborates frequently with a group of co-authors, including:

Xuelong Li
Rong Wang
Zheng Wang
Danyang Wu

The main fields of study and subfields covered by Feiping Nie's work include:

Computer Science
Computer Vision and Pattern Recognition
Artificial Intelligence
Media Technology
Urban Studies
Computational Mechanics

Feiping Nie's research topics highlight their focus on algorithmic development and classification technologies, encompassing:

Face and Expression Recognition
Advanced Clustering Algorithms Research
Remote-Sensing Image Classification
Advanced Computing and Algorithms
Text and Document Classification Technologies
Sparse and Compressive Sensing Techniques
Machine Learning and Extreme Learning Machines (ELM)

Best Publications

Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization

Feiping Nie;Heng Huang;Xiao Cai;Chris H. Ding

2020
Citations
Clustering and projected clustering with adaptive neighbors

Feiping Nie;Xiaoqian Wang;Heng Huang

945
Citations
The Constrained Laplacian Rank algorithm for graph-based clustering

Feiping Nie;Xiaoqian Wang;Michael I. Jordan;Heng Huang

808
Citations
Learning a Mahalanobis distance metric for data clustering and classification

Shiming Xiang;Feiping Nie;Changshui Zhang

796
Citations
Multi-view Subspace Clustering

Hongchang Gao;Feiping Nie;Xuelong Li;Heng Huang

587
Citations
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

Chenping Hou;Feiping Nie;Xuelong Li;Dongyun Yi

575
Citations
Large-scale multi-view spectral clustering via bipartite graph

Yeqing Li;Feiping Nie;Heng Huang;Junzhou Huang

572
Citations
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

Feiping Nie;Dong Xu;Ivor Wai-Hung Tsang;Changshui Zhang

555
Citations
Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours

Feiping Nie;Guohao Cai;Xuelong Li

541
Citations
Multi-view K-means clustering on big data

Xiao Cai;Feiping Nie;Heng Huang

497
Citations
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

Yi Yang;Zhigang Ma;Feiping Nie;Xiaojun Chang

494
Citations
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

Shiming Xiang;Feiping Nie;Gaofeng Meng;Chunhong Pan

488
Citations
Self-weighted Multiview Clustering with Multiple Graphs.

Feiping Nie;Jing Li;Xuelong Li

483
Citations
Multiview Consensus Graph Clustering

Kun Zhan;Feiping Nie;Jing Wang;Yi Yang

483
Citations
A Multimedia Retrieval Framework Based on Semi-Supervised Ranking and Relevance Feedback

Yi Yang;Feiping Nie;Dong Xu;Jiebo Luo

451
Citations
Image Clustering Using Local Discriminant Models and Global Integration

Yi Yang;Dong Xu;Feiping Nie;Shuicheng Yan

412
Citations
Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification

Feiping Nie;Jing Li;Xuelong Li

409
Citations
Multi-view Clustering: A Scalable and Parameter-free Bipartite Graph Fusion Method.

Xuelong Li;Han Zhang;Rong Wang;Feiping Nie

404
Citations
Trace ratio criterion for feature selection

Feiping Nie;Shiming Xiang;Yangqing Jia;Changshui Zhang

401
Citations
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.

Feiping Nie;Guohao Cai;Jing Li;Xuelong Li

362
Citations
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering

Feiping Nie;Zinan Zeng;I. W. Tsang;Dong Xu

338
Citations
Low-rank matrix recovery via efficient schatten p-norm minimization

Feiping Nie;Heng Huang;Chris Ding

326
Citations

Frequent Co-Authors

Xuelong Li China Telecom (China)

Heng Huang University of Pittsburgh

Changshui Zhang Tsinghua University

Hua Wang Victoria University

Chris Ding Chinese University of Hong Kong, Shenzhen

Shiming Xiang Chinese Academy of Sciences

Xiaojun Chang University of Technology Sydney

Junwei Han Northwestern Polytechnical University

Quanxue Gao Xidian University

Dong Xu University of Hong Kong

External Links

Personal website of Feiping Nie Google Scholar page

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